Category: Labor

Celebrate Birthdays, not Holidays

To the transportation user, holidays are nothing but pain. Synchronized travel leads to traffic jams and very high rail and air fares, and synchronized shopping by car leads to parking pain. American commercial parking minimums are designed around the few busiest days of the year (source, endnote #8), timed for the Christmas rush. In France, synchronized travel at the beginning and end of school holidays is so bad that each region begins and ends its winter and spring breaks on different dates. There’s so much travel pain, and associated waste in designing transportation around it, that it’s worth asking why even bother.

The travel pain is even worse than mere congestion. When I visited London in early July, Eurostar broke in both directions. This was not a pair of random delays. French holiday travel is synchronized even though there are two months of summer break and only about one month of paid vacation net of the other holidays: traditionally people from all over the country and the world visit Paris in July, and then Parisians visit other places in August.

With slow boarding at the stations courtesy of security theater and manual ticket checks with just two access points per train, it takes longer than usual to board the trains when they are full. With full trains throughout the day, the delays cascaded, so by afternoon the trains were hours off schedule. Eurostar let passengers on trains on practically a first-come, first-served basis: people with tickets on a train got to ride the next available train. I had a ticket on an 11:39 train, and got to ride the train that was nominally the 11:13 (there were a few available seats) but departed at 12:58, and my nominally-11:39 train departed even later.

Eurostar’s inability to deal with crowds that occur annually, at a time when revenue is highest, is pure incompetence. But even if that particular problem is resolved, the more fundamental problem of unnecessary swings in travel volumes remains. On domestic TGVs it’s seen in wild price swings. Today is the 8th. In two weeks, a one-way TGV ticket from Paris to Marseille costs 72-74 on Thursday the 22nd or Friday the 23rd (Friday is the traditional peak weekend travel date and increasingly Thursday joins it) and about 62 on Saturday the 24th. But next month, on the 23rd, I see tickets for about 150, and even the low-comfort OuiGo option, which usually has 10 tickets (from the suburbs, not Paris proper), shoots up to 100; even with these prices, most trains are sold out already.

In some cultures, common holidays serve a religious or otherwise traditional purpose of bringing the extended family together. This is the case for Chinese New Year, which causes overcrowding on the mainline rail network at the beginning and end of the holiday as urban workers visit their families back home, often in faraway interior provinces. The same tradition of extended families occurs on Passover, but Israel has little travel pain, as it is so small that Seder travel is the same as any other afternoon rush hour.

However, there is no religious or social value to synchronized school holidays, nor is there such value to Western holidays. Western Christian civilization has centered nuclear families over extended families for around a millennium. In modern-day American culture, people seem to spend far more time complaining about the racist uncle than saying anything positive about catching up with relatives.

Christmas has religious significance, but much of the way it is celebrated in rich countries today is recent. The emphasis on shopping is not traditional, for one. The travel peak is probably unavoidable, since Christmas and New Year’s are at a perfect distance from each other for a week-long voyage, but everything else is avoidable. A source working for a bookstore in Florida, located strategically on the highway between Disneyland and the coast, told me of two prominent peaks. In the summer there would be a broad peak, consisting mostly of European tourists with their long paid vacations. But then there would be a much sharper peak for the holiday season between Thanksgiving and Christmas, in which the store would fill every cashier stall and pressure employees, many of whom temps working seasonally, to work overtime and get customers through as quickly as possible.

Some holidays have political significance, such as various national days, but those do not have to create travel peaks or shopping peaks. Bastille Day doesn’t.

Finally, while it’s accepted in Western countries today that summer is the nicest season to travel, this was not always the case, and even today there are some exceptions. The Riviera’s peak season used to be winter, as the English rich fled England’s dreary winters to the beaches; Promenade des Anglais in Nice is named after 19th century winter vacationers. When I lived in Stockholm, I was more excited to visit the Riviera in the winter, fleeing 3 pm sunsets, than in the summer. Today, Japan has a peak for the cherry blossom in the spring, while in New England (and again in Japan) there is a tradition of leaf peeping in the fall.

Instead of centering synchronized holidays, it’s better for states to spread travel as well as shopping behavior throughout the year as much as possible. Different people have different preferences for seasonality, and this is fine.

For bigger shopping seasons, the best thing to do is to emphasize birthdays. Instead of trying to fix major holidays, the way Lincoln did for Thanksgiving, it’s better to encourage people to make their biggest trips and biggest shopping around birthdays, anniversaries, saint days in Catholic countries, and idiosyncratic or subculturally significant days (such as conventions for various kinds of geeks). There are already well-placed traditions of birthday and anniversary gifts. In academia it’s also normal to extend conference trips into longer vacations, when they don’t conflict with teaching schedules.

The impact on labor is reduced seasonality, and far less peak stress. With less seasonal employment, the natural rate of unemployment may also end up slightly lower. The impact on transportation is a large reduction in travel peaks, which would make it easier to run consistent scheduled service year-round, and to maintain car travel and parking capacity at its average day level rather than building parking lots that go unused 364 days out of every year.

Our Brooklyn Bus Redesign

Eric Goldwyn and I spent about six months working on a Brooklyn bus redesign. I mentioned some aspects of it before here, on social media, and in blog comments, but not the overall shape. Eric and I gave a pair of presentations about our plan, one two days ago at the MTA in front of senior MTA planners and NYC DOT people and one today at TransitCenter in front of activists and mid-level MTA planners. We have a still-unreleased writeup explaining everything we’re doing with references to both public reports from various cities and peer-reviewed literature. Here I’m going to condense the 8,000-word writeup into a blog post length, going over the main points, including of course the proposed map.

The map, in brief

The depicted version is 1.1. You can see a lower-resolution version 1.0 on Streetsblog, albeit with a different color code (the map we made for the presentation, reproduced on Streetsblog, uses red for the highest-frequency routes and blue for the lowest-frequency ones whereas the Google Earth version linked above is the opposite). It has 353 route-km, down from about 550 today, not including Grand and Metropolitan Avenues, which are Queens bus routes, shown on the map for completeness’s sake, without stopping pattern.

Some tails are cut due to low ridership or duplication of rail:

  • The B25 on Fulton goes.
  • The B37 on Third Avenue is consolidated into the B63 on Fifth.
  • The B45 and B65 are merged into one compromise route.
  • The B15 is cut east of the Long-Term Parking JFK AirTrain station (where service is free); ideally it would be cut east of City Line with passengers taking the subway to the AirTrain (as was the case in version 1.0), but I do not expect Port Authority to integrate AirTrain fares with the subway.
  • The B41 is cut north of Parkside Avenue, at the transfer to the B/Q.
  • Instead of two routes in Bed-Stuy between Nostrand (i.e. B44) and Malcolm X (i.e. B46), today’s B15 and B43, there’s just one route.
  • The B57 segment on Court and Smith Streets in South Brooklyn goes, as the subway serves the area in several directions.
  • The B39 over the Williamsburg Bridge goes.
  • The B32 and B62, providing north-south service through Williamsburg up to Long Island City, are merged into one compromise route.
  • The East New York bus network is circuitous (buses go to Gateway Center the long way around) and is straightened here.
  • In version 1.0, the B26 on Halsey was cut west of Franklin with a forced transfer to the subway, but the short distance to Downtown Brooklyn argues in favor of continuing to at least Flatbush.

Overall, this is a cut from 54 routes (including the separately-managed MTA Bus routes B100 and B103) to 37. The smaller network is far more frequent. The minimum frequency is,

  • Every 6 minutes between 6 am and 10 pm every day.
  • Every 10 minutes between 5 and 6 am and between 10 pm and midnight.
  • Every 30 minutes between midnight and 5 am; every 20 minutes with timed transfers to the subway is aspirational, but the subway doesn’t run reliably on a timetable overnight for such a system to be viable. The 30-minute night network could potentially involve mini-pulses in Downtown Brooklyn and smaller hubs (like East New York and Bay Ridge).

Routes depicted in red on the Google Maps link, or in blue on the map in the Streetsblog link, have exactly the minimum frequency. Routes depicted in green have higher frequency at the peak; routes depicted in blue on Google Maps or red on Streetsblog have higher frequency peak and off-peak. Higher frequency than the minimum is depicted as “Utica [2/4]” (buses on Utica run every 2 minutes peak, 4 off-peak) or “Avenue U [5/6]” (buses on Avenue U run every 5 minutes peak, 6 off-peak). Peak means 7-9 am and 5-7 pm on weekdays, in both directions; the morning peak is a little earlier and the afternoon peak a little later than the subway peak, but as buses are still mostly subway feeders, an earlier morning peak and a later afternoon peak are justifiable.

Speedup treatments

Pruning the network is not the only or even most important part of bus reform. Buses have to be sped up to be useful for people except as last-resort transit. In interviews about unrelated topics, people have volunteered to me that they do not take trips they used to take due to the degradation in bus speed and reliability. New York City Transit bus ridership peaked in 2002; the fare hike in 2003 led to a small dip in ridership that the mid-2000s oil crisis didn’t quite erase, and then in the recession and subsequent recovery bus ridership crashed. In Manhattan it’s 30% below the 2007 level; in Brooklyn it’s 20% below the 2007 level, with buses extending the subway or letting people connect to a better line (like the B41 and B35) particularly hit.

The current average speed in Brooklyn is about 11 km/h. Excluding limited-stop buses, it’s 10.8. We’re proposing to increase it to 15, even though the redesign is pruning buses in faster areas more than in slower ones. This is using four speedup treatments.

Prepayment

Today, New York prefers to treat off-board fare collection as a special product available only on select buses (i.e. SBS). This should be changed to citywide prepayment, with all-door boarding. German-speaking cities do it; so does San Francisco. Data from San Francisco and from the TRB (PDF-p. 20) suggests a gain of about 2.5-3 seconds per passenger boarding, counting both boarding and alighting time. At Brooklyn’s bus ridership level, this suggests a saving of around 400-450 revenue-hours, or about 4% of total service-hours. This is not a big change, but it helps stabilize the schedule by slowing down the mechanism by which buses bunch.

How to get passengers to pay if not on-board remains an open question; there are several approaches. The Zurich model involves placing a ticket-vending machine (TVM) at every bus stop. While New York severely pays for TVMs on SBS (the RPA says $75,000 per stop), an ATM costs $3,000, so installing the required infrastructure need not cost a lot. But more commonly, passengers can board freely if they have transfers or unlimited monthlies and pay the driver (potentially after the bus has begun moving) otherwise.

Of note, the bus drivers are particularly interested in prepayment. Eric and I explained the issue in a CityLab article a few months back: the drivers are worried about being assaulted by riders who don’t want to pay.

Stop consolidation

About 60% of the time saving in our plan relative to current practices comes from stop consolidation. I discussed the issue here, and our forthcoming report has references to many studies in the literature optimizing stop spacing for minimum door-to-door travel time. With each deleted stop saving 20-30 seconds (say 25 seconds on average), our proposed stop consolidation, from an average of 220 meters to 490 excluding long tails (i.e. the B15’s long nonstop segment toward JFK) saves around a minute per km, cutting travel time from 5.5 minutes per km to 4.5.

Conceptually, stop spacing should be longer when trips are longer, or when relative density is less uniform. New York City Transit bus trips are short, as many are subway extenders, but relative density is extremely spiky, as a large number of people get off at a few dominant stops at the subway connection points. If the on/off density on a route is uniform, then lengthening the stop spacing means passengers have to walk longer at both ends; but if passengers are guaranteed a connection at one end (because of transfer points with the subway or other buses) then they only have to walk longer at the other end. Based on this principle, Utica and Nostrand get particularly long stop spacing. Conversely, routes with extremely short trips, like the Mermaid route inherited from the B74, have shorter stop spacing.

To improve network legibility, we have tried as far as possible to have buses stop on consistent streets. For example, south of Fulton Street (where it’s awkwardly between Nostrand and Franklin), Bedford Avenue gets a stop on every intersecting bus, including east-west routes but also the diagonal B41.

Every bus stop should have shelter. In Central Florida, North Florida, and London, this costs $10,000 per stop, give or take. Our 707-stop plan (700 in version 1.0) would cost $14 million at this cost. Even at Santa Ana’s higher cost of $35,000, it’s $50 million. NIMBYs who oppose stop consolidation argue that having many stops is necessary for people with disabilities, but people with disabilities would benefit from benches and shelter, without needing to stand for 15 minutes waiting for bunched buses.

Bus lanes

Every bus in an area with congestion should get dedicated lanes. SBS implementations so far, imperfect as they are, have saved around 30 seconds per km in traffic. Physically-separated median lanes should do better; the MTA and NYCDOT have so far avoided them on the theory that local and limited bus routes should coexist on the same route and limiteds should pass locals, but in reality, a single stopping pattern is better, and then there are no drawbacks to physical separation.

On wide streets, this is not a problem. On narrow ones, it is. The real headache is Nostrand, about 25 meters wide building to building, enough for just four lanes. The correct thing to do is a moving lane and a bus lane in each direction, with merchants told to park on side streets. If parking is unavoidable, then a contraflow bus lane, with parking on one side, is also feasible, but less safe for pedestrians (Boulevard Saint-Michel has this configuration and has to remind pedestrians crossing the street to look left).

Two-way buses are essential whenever streets are widely separated, as on avenues, in Brooklyn as well as Manhattan. Nostrand is just more important than Rogers and New York Avenue, where northbound B44s go today; today’s configuration forces east-west buses to make too many stops (the B35 limited makes 4 stops in a kilometer).

Signal priority

Buses should get priority at intersections and not just on the street. The studies we’ve seen find a 4-7% gain, bus only on individual bus routes, not gridded networks. In our proposed trip times we are not assuming any speedup from signal priority, just better timekeeping as more delayed buses get priority to stabilize the schedule. This is a counter-bunching mechanism more than a straight speedup.

A process, not an immutable product

Jarrett Walker’s bus network redesigns tend to come as complete products, changed rapidly from radial low-frequency networks. What we’re proposing is a longer process. Nova Xarxa began implementation in 2012 and is wrapping up now, installing a few routes at a time by cannibalizing parallel routes. The map we’re showing is what we estimate would be a good fit for 2022-3. Beyond that, more subway stops are going to be wheelchair-accessible, making it easier to prune more subway-parallel buses (like the B63).

Gradual implementation means starting from the easier parts of the network. East New York’s current network is so circuitous that straightening it should not be too controversial. Our proposed redesign there is also better at connecting to the 2, 3, 4, and 5 trains and not just the L, which should prove valuable during the L shutdown. In Southern Brooklyn, we are proposing more service, but this could be paired with stop consolidation. Central Brooklyn and Bed-Stuy require the most street redesigns and the most robust frequency network-wide (as they are already transfer-based grids, and nobody transfers at 12-15 minute off-peak frequency) and could be done later; the B25 itself should probably not be eliminated until Broadway Junction is made accessible on the A and C lines.

We are not even wedded to the map as a proposal for 2022. Some variations are always possible, as already seen in the differences between versions 1.0 and 1.1. The biggest addition we can think of is adding a second north-south route through Bed-Stuy: the existing one would be moved from Marcus Garvey to Throop (hitting the subway better), while the B17 could be extended up Troy and Lewis.

Overall, Brooklyn has 10,800 service-hours today. Our redesign uses just 10,000, with a 1% gain in efficiency from location relative to bus depots on top of that. There is room for service increases, or restoration of marginal routes required for political reasons, or slowdowns imposed by political unwillingness to install bus lanes.

Win-lose

In a modern developed country, it’s rare to find win-win situations. The US is blessed with these in transit (i.e. it’s so inefficient at construction it might as well be third-world), but not in urban bus networks. Stop consolidation is a net benefit to the average user of the route, but a few people would still see longer trips, e.g. those living at the exact midpoint between two widely-spaced stops. Route consolidation (as in Ocean Hill) is the same thing.

There are sociopolitical groups that would win out: labor would see higher ridership, reducing the pressure to cut jobs; regular commuters (who generally have low transfer penalties) would see faster trips; people with disabilities that make it difficult for them to stand (as is true of some people with chronic pain) would be able to sit at bus stops and wouldn’t need to sit for long. In contrast, small business owners would sometimes lose the ability to park in front of their stores, and occasional users who usually drive would see longer perceived trips because of stiff transfer penalties.

This is equally true on the level of neighborhoods. Southern Brooklyn generally gains, and Borough Park in general gains an extra north-south route (though this is canceled out by high transfer and access penalty among Haredis: in Israel they just won’t walk longer to better service). East New York sees much more direct routes. Flatbush and East Flatbush don’t see much change in network structure but do gain off-peak frequency. Red Hook gains a direct connection to Manhattan. But then Bed-Stuy loses north-south routes, South Brooklyn’s buses are completely gutted, and Williamsburg loses north-south routes.

A political system based on citywide (or nationwide) ideological groups could find the will to build the network we’re proposing or something like it. Could a system based on local representation, treating retirees and small business owners as a vanguard class, deliver the same? We will see in the next year or two.

Why Free Trade in Rolling Stock is Good

Classical economics asserts that if two countries freely trade, then both gain relative to a baseline in which they don’t trade. The classical theory of comparative advantage hinges on reciprocal free trade. But more recently, economists have begun to push for entirely domestic support for free trade, arguing that reducing trade barriers is good even without reciprocation. The arguments involve corruption and misallocation of capital coming from protectionism. Whatever criticism there may be of this neoliberal conception of trade, rolling stock appears to be an example in which this conception is right.

I have previously criticized informal French protectionism in high-prestige procurement for blowing up Parisian rolling stock costs by a factor of almost 2. In Paris, my example of what could be done with the money Ile-de-France Mobilités is wasting on rolling stock was infrastructure construction, justified by the city’s very low construction costs relative to ridership (if not relative to route-length). But there’s an even better set of examples of high costs in the United States, justified on labor grounds and yet involving wastes of money disproportionate to the number of jobs created.

Last month, The American Prospect published an article about a union push to have more US rolling stock made in America, by unionized workers. The TAP article talks about a light rail vehicle order in Los Angeles for $890 million, for what the article says is 175 cars and what manufacturer Kinki Sharyo and other industry sources say is 235 cars, built at a dedicated factory in the Los Angeles exurbs. The purpose of the article is to advocate for more protectionism for the sake of American union members, so it details the wages the workers are making (about $20 an hour, up from $11 for unskilled jobs elsewhere) but does not delve into comparative costs. It’s worth asking if the costs are competitive, and the answer is that they are not.

The cost of LACMTA’s Kinki Sharyo order is $3.8 million per car; these cars are 27 meters long, so this translates to $140,000 per meter of train length. In contrast, the average cost in Europe appears to be just under $100,000 per meter, across a variety of cities and models:

The shortest trains on this list (the Citadis Compact orders, at 22-24 meters) are in the middle of the pack, so it’s unlikely there’s any nonlinearity in cost; moreover, the Compact is slightly shorter than the Kinki Sharyo trains, so no extrapolation is required, only interpolation.

The LACMTA order follows another premium-priced light rail order in the same state: as I wrote in the Bay City Beacon last year, Muni Metro’s Siemens LRV order cost about $4 million per 23-meter car, about $170,000 per meter of train length. The trains are being built at a new plant in Sacramento.

The United States has federal Buy America laws, requiring federally-funded contracts to buy domestic products provided they cost no more than 25% more than equivalent imports. However, there is no in-state purchase requirement. Owing to large New York City Subway orders, some vendors have long-established plants near New York (Kawasaki and Alstom are in-state, Bombardier is in Vermont). However, under informal pressure from activists within California to provide good local jobs, LACMTA asked bidders to open local factories. Moreover, Siemens most likely placed its plant in Sacramento rather than in lower-cost states in order to curry favor with state-funded orders.

We even see the same problem in Massachusetts, where CRRC opened a plant in Springfield for an MBTA Red and Orange Line car order. The order itself does not come at a premium – according to Metro Report the base order is about $100,000 per meter of train length and the option is $115,000, and the range of per-meter costs for subway trains is the same as that for LRVs – but it’s possibly a loss leader to help establish CRRC as a player in the American market. Even before Trump’s election, Congress investigated the order, which beat the competitors by a large margin; the competing bids were about $135,000 per meter for the base order. It says a lot about Massachusetts’ broken procurement that it takes a loss leader just to get costs down to their international levels. Nonetheless, the US premium does appear to be smaller for large subway orders than for small and medium-size LRV orders, since the extra costs of siting and setting up a factory are spread across more units.

The explicit goal of local content requirements is to create jobs. This is usually justified in terms of inequality and bleak prospects for unskilled workers. However, there is no cost-benefit calculation involved in this. According to TAP, the LACMTA order is creating 250 jobs manufacturing the trains; it doesn’t say how long they will last, but the duration of the contract is about 6 years. But the premium, about $300 million, works out to $1.2 million per job, a large multiple of total compensation to the workers. The Springfield plant has 200 jobs paying $50,000-60,000 per year, lasting 7 years across more than just the Boston contract; pro-rating to the Boston contract’s share of orders from the plant, the jobs will last around 5 years. Adding back the premium charged by the competing vendors raises the cost to $1 million per job, again a multiple of total working-class compensation.

There are two reasons why labor protectionism costs so much compared with its direct impact on working-class hiring. The first is leakage: much of the premium goes to management, including factory design and construction, or is just wasted on inefficiency (CRRC is opening a second American plant, in Chicago, instead of building everything at one plant). Some of the money goes to foreign consultants with the vendor and some stays domestic, but the domestic leakage goes to sitework and not to direct hiring.

The second reason is corruption and degradation of institutions. When the goal of public procurement is not just to buy the best product in terms of cost and quality, lobbyists make demands, like local hiring, that corrupt the process. A city that signals that the only things that matter are cost and quality will attract vendors who make the best bids in terms of cost and quality; a city that signals that the process depends on local political needs will attract vendors who make bids in order to satisfy local political actors, who as a rule don’t give a damn about good transit. Thus American agencies buy trains at a premium well beyond Buy America’s 25% limit, just because they think of cost and quality as just two of several political priorities and not as the sole legitimate bases of choosing a bidder.

The United States leads the world in higher education costs. The unsubsidized cost of a college degree at a good public university is about $100,000; at CUNY, which provides a good quality of degrees even if it’s so underfunded that classrooms aren’t supplied with chalk, it’s about $75,000. Stipends at the level of a good graduate program add another $30,000 or so per year. For around $200,000 per person, California could send low-income workers to college and pay for their living expenses for the duration of the degree, whereupon they will be able to get unsubsidized jobs paying much more than $20 per hour. For workers who can’t go to college, trade school is another option, offering decently-paying jobs for much lower cost since they take much less time. There is no need to lade the transit capital budget with what should be state or federal retraining grants; given the massive difference in cost, even the loss of matching funds (i.e. other people’s money) can leave the state or the city better off.

The problem is that there is no political incentive to think in such terms. Part of it is the corruption of institutions, as I mentioned already: labor groups see an opportunity to create jobs from a budget that from a local perspective is other people’s money. Another part is political prestige: romantics like old jobs (farmer, builder, truck driver, coal miner, baker, factory worker), which have had enough time to percolate into the national psyche, and since these jobs are old, they’re likely to be at the low end of the value-added ladder.

Absent very strong rules forbidding protectionism in procurement, this corruption will continue: evidently, Paris insists on buying expensive bespoke trains and somehow manages to get them manufactured within France, even though EU rules against interstate dumping are much stronger than US rules. Rules at the highest level are required to discourage such behavior (although Paris might still waste money on bespoke trains, just ones that can be made in Poland). Congress can and should stop funding any local or state agency that takes in-state content into account in procurement; the US is one democratic country, not fifty mercantile fiefdoms, and should use its status as a superstate with a large internal market to universalize good governance.

Do Rich and Poor People Work in Different Neighborhoods?

There are workplaces where most employees are high-income, for example office towers (or office parks) hosting tech firms, law firms, or banks. There are workplaces where most employees are working-class, for example factories, warehouses, and farms. Does this lead to a difference in commuting patterns by class? I fired up OnTheMap two days ago and investigated. This is American data, so it stratifies workers by income, education, industry, or race rather than by job class. I generated maps for New York and saw the following:

There are three income classes available, and I looked at the bottom and top ones, but the middle one, still skewed toward the working class, looks the same as the bottom class. The biggest observation is that Midtown is dominant regardless of income, but is more dominant for middle-class workers (more than $40,000 a year) than for low-income ones (up to $15,000, or for that matter $15,000-40,000).

The colors are relative, and the deepest shade of blue represents much more density for middle-class workers, even taking into account the fact that they outnumber under-$15,000 workers almost four to one. Among the lowest-income workers we see more work on Queens Boulevard and in Williamsburg, Flushing, and the Hub, but these remain tertiary workplaces at most. The only place outside Midtown, Lower Manhattan, or Downtown Brooklyn (which includes all city workers in Brooklyn due to how the tool works, so it looks denser than it is) that has even the third out of five colors for low-income workers is Columbia, where the low-income job density is one-third that of Midtown, and where there is also a concentration of middle-class workers.

The same pattern – job centers are basically the same, but there’s more concentration within the CBD for the rich – also appears if we look at individual neighborhoods. Here is the Upper East Side versus East Harlem:

I chose these two neighborhoods to compare because they exhibit very large differences in average income and are on the same subway line. Potentially there could be a difference between where East Siders and West Siders work due to the difficulty of crosstown commuting, so I thought it would be best to compare different socioeconomic classes of people on the same line. With the East Side-only restriction, we see two Uptown job centers eclipse Columbia: Weill-Cornell Medical Center in Lenox Hill at the southeast corner of the Upper East Side, and Mount Sinai Hospital at the northwest corner.

One place where there is a bigger difference is the definition of Midtown. Looking at the general job distribution I’d always defined Midtown to range between 34th and 59th Street. However, there are noticeable differences by income:

For the middle class, Midtown ranges from 34th to 57th Street and peaks around 47th. For the lowest-income workers, it ranges from 28th to 49th and peaks in the high 30s. My best explanation for this is that Midtown South and Union Square are more retail hubs than office hubs, featuring department stores and shopping centers, where the rich spend money rather than earning it.

In a deindustrialized country like the US or France, the working class no longer works in manufacturing or logistics. There are a lot of truck drivers today – 3.5 million in the US – but in 1920 the American railroad industry peaked at 2.1 million employees (source, PDF-p. 15), nine times today’s total, in a country with one third the population it has today and much less mobility. Manufacturing has plummeted as a share of employment, and is decreasing even in industrial exporters like Germany and Sweden. Instead, most poor people work at places that also employ many high-skill, high-income workers, such as hospitals and universities, or at places where they serve high-income consumption, such as retail and airports.

Since the working class works right next to the middle class, the nature of bosses’ demands of workers has also changed. Low-skill works now involves far more emotional labor; in Singapore, which makes the modern-day boss-worker relationships more explicit than the Anglosphere proper, there are signs all over the airport reminding workers to smile more. Nobody cares if auto workers smile, but they’re no longer a large fraction of the working class.

With the working class employed right next to the middle class, there is also less difference in commuting. For the most part, the same transportation services that serve middle-class jobs also serve working-class jobs and vice versa. This remains true even across racially segregated communities. The patterns of white New York employment are similar to those of middle-class New York employment, and those of black, Hispanic, and Asian employment are similar to those of the working class, with small differences (Asians are somewhat more concentrated in Flushing, and blacks in Downtown Brooklyn, reflecting the fact that blacks are overrepresented in public employment in the US and all city workers in Brooklyn are counted at Court Square).

This is true provided that opportunities for transportation are available without class segregation. This is not the situation in New York today. Commuter rail actually serves working-class jobs better than middle-class jobs, since Penn Station is closer to the department stores of 34th Street than to the office towers in the 50s. However, it’s priced for the middle class, forcing the working class to take slower buses and subway trains.

When I posted the above maps on Twitter, Stephen Smith chimed in saying that, look, the poor are less likely to work in the CBD than the middle class, so everywhere-to-everywhere public transportation is especially useful for them. While Stephen’s conclusion is correct, it is not supported by this specific data. In the $40,000 and up category, 57% of city jobs are in Manhattan south of 60th Street, compared with 37% in the $15,000-40,000 and under-$15,000 categories. It’s a noticeable difference, but not an enormous one. The reason Stephen is correct about how rides crosstown transit is different: people who can afford cars are very likely to drive if the transit option is not good (which it isn’t today), whereas people who can’t are stuck riding slow crosstown buses; in contrast, for CBD-bound commutes, the subway and commuter rail work reasonably well (especially at rush hour) and driving is awful.

Instead of trying to look specifically at low-income and middle- and high-income job centers, it’s better to just plan transit based on general commute patterns, and let anyone take any train or bus. This doesn’t mean business as usual, since it requires transitioning to full fare integration. Nor does this mean ignoring residential segregation by income, which in some cases can lead to transit segregation even in the face of fare integration (for example, the crosstown buses between the Upper East Side and Upper West Side have mostly white, mostly middle-class riders). Finally, this doesn’t mean relying on middle-class transit use patterns as a universal use case, since the middle class drives in the off-hours or to off-CBD locations; it means that relying on middle-class transportation needs could be reasonable. It just means that the rich and poor have substantially the same destinations.

An even bigger implication relates to questions of redevelopment. There have been periodic complaints from the left about gentrification of jobs, in which working-class job sites are turned over to high-end office and retail complexes. For example, Canary Wharf used to be the West India Docks. In New York, Jane Jacobs’ last piece of writing before she died was a criticism of Greenpoint rezoning, in which she specifically talked up the importance of keeping industrial jobs for the working class. But since the big deindustrialization wave, developments brought about by urban renewal, gentrification, and industrial redevelopment have not had any bias against providing employment for the poor. It’s not the factory jobs that the unionized working class still culturally defines itself by, but it’s industries that are hungry for low-skill work, and in many cases are serious target of unionization drives (such as universities).

Buses in Brooklyn: Frequency is Freedom, but 15 Minutes isn’t Frequency

I’ve recently started working part-time on a project for the Marron Institute at NYU about bus restructuring in Brooklyn; at the end of this summer, I expect to release a proposal for service upgrades and a new map. I’m working on this with Marron scholar Eric Goldwyn, who is funded by the TWU, which is worried that ridership collapse may lead to service cuts and job losses, but I’m funded directly by Marron and not by the union.

Some of what’s likely to appear in the final report should be familiar to regular readers of this blog, or of Human Transit, or of the work TransitCenter has been doing. As I wrote in Curbed earlier this year, bus operating costs in New York are unusually high because the buses are slow, as the main operating costs of buses scale with service-hours and not service-km. Thus, it’s important to speed up the buses, which allows either providing higher frequency at the same cost or the same frequency at lower cost. A bus speedup should include systemwide off-board fare collection and all-door boarding (common in the German-speaking world but also in San Francisco), wider stop spacing, dedicated lanes wherever there is room, and signal priority at intersections; the TWU is an enthusiastic proponent of off-board fare collection, for reasons of driver safety rather than bus speed.

While bus speedups are critical, their impact is not as Earth-shattering as it might appear on paper. New York’s SBS routes have all of the above features except signal priority, and do save considerable time, but are still slow city buses at the end of the day. Brooklyn has two SBS routes: the B44 on Nostrand, averaging 15 km/h (local B44: 11.3), and the B46 on Utica, averaging 13.7 (local B46 on the shared stretch: 10.8). Their speed premiums over the local routes are toward the high end citywide, but are still 30%, not the 200% speed premium the subway enjoys. Moreover, the speed premium over non-SBS limited routes is 15-20%; put another way, between a third and a half of the speed premium comes purely from skipping some stops.

I mentioned in my last post that I met Carlos Daganzo at Berkeley. Daganzo was responsible for the Barcelona bus redesign, Nova Xarxa; you can read some details on Human Transit and follow links to the papers from there. The guiding principles, based on my conversation with Daganzo and on reading his papers on the subject, are,

  • Barcelona has high, relatively uniform density of people and jobs, so there’s no need for buses to hit one CBD. Brooklyn has about the same average residential density as Barcelona, but has a prominent CBD at one corner, but as this CBD is amply served by the subway, it’s fine for buses to form a mesh within the subway’s gaps.
  • Nova Xarxa involved widening the stop spacing in Barcelona from less than 200 meters to three stops per km, or a stop every 300-350 meters; Daganzo recommends even wider stop spacing.
  • While Barcelona’s street network is strictly gridded, the buses don’t run straight along the grid, but rather detour to serve key destinations such as metro stops. This is an important consideration for Brooklyn, where there are several distinct grids, and where subway stops don’t always serve the same cross street, unlike in Manhattan, where crosstown routes on most two-way streets are assured to intersect every north-south subway line.
  • The percentage of transfers skyrocketed after the network was implemented, standing at 26% at the end of 2015, with the model predicting eventual growth to 44%, up from 11% before the redesign.
  • The network was simplified to have 28 trunk routes, the least frequent running every 8 minutes off-peak.

The high off-peak frequency in Barcelona is a notable departure from Jarrett Walker’s American network redesigns; the evidence in Houston appears mixed – ridership is about flat, compared with declines elsewhere in the country – but the percentage of transfers does not seem to have risen. Jarrett says in his book that having a bus come every 10 minutes means “almost show-up-and-go frequency” with no need to look at schedules, but his work in Houston and more recently in San Jose involves routes running every 15 minutes.

Moreover, unreliable traffic in these car-dominated cities, in which giving buses dedicated lanes is politically too difficult, means that the buses can’t reliably run on a schedule, so the buses do not run on a clockface schedule, instead aiming to maintain relatively even headways. (In contrast, in Vancouver, a less congested street network, with priority for all traffic on the east-west main streets on the West Side, ensures that the buses on Broadway and 4th Avenue do run on a fixed schedule, and the 4th Avenue buses have a 12-minute takt that I still remember four years after having left the city.)

I’ve talked about the importance of radial networks in my posts about scale-variant transit. I specifically mentioned the problem with the 15-minute standard as too loose; given a choice between an untimed 15-minute network and a timed 30-minute network, the latter may well be more flexible. However, if the buses come every 5 minutes, the situation changes profoundly. Daganzo’s ridership models have no transfer penalty or waiting penalty, since the buses come so frequently. The models the MTA uses in New York have a linear penalty, with passengers perceiving waiting or transferring time on the subway as equivalent to 1.75 times in-motion time; bus waiting is likely to be worse, since bus stops are exposed to the elements, but if the average wait time is 2.5 minutes then even with a hefty penalty it’s secondary to in-vehicle travel time (about 18 minutes on the average unlinked bus trip in New York).

Unfortunately, that high frequently does not exist on even a single bus line in Brooklyn. Here is a table I created from NYCT ridership figures and timetables, listing peak, reverse-peak, and midday frequencies. Five routes have better than 10-minute midday frequency: the B12, the B6 and B35 limited buses, and the B44 and B46 SBSes, running every 7, 7.5, 8, 8, and 6 minutes respectively. In addition, the B41 limited and B103 have a bus every 9 and 7.5 minutes respectively on their trunks, but the B41 branches on its outer end with 18-minute frequencies per branch and the B103 short-turns half the buses. Another 14 routes run every 10 minutes off-peak, counting locals and limiteds separately.

The problem comes from the split into local and limited runs on the busiest buses. The mixture of stopping patterns makes it impossible to have even headways; at the limited stops, the expected headway in the worst case is that of the more frequent of the two routes, often about 10 minutes. The average ridership-weighted speed of Brooklyn buses is 10.75 km/h. An able-bodied passenger walking at 6 km/h with a 10-minute head start over a bus can walk 2.25 km before being overtaken, which can easily grow to 3 km taking into account walking time to and from bus stops. To prevent such situations, it’s important to run buses much more frequently than every 10 minutes, with consistent stopping patterns.

This does not mean that NYCT should stop running limited buses. On the contrary: it should stop running locals. The SBS stop spacing, every 800 meters on the B44 and B46, is too wide, missing some crossing buses such as the B100 (see map). However, the spacing on the B35 limited is every 400 meters, enough to hit crossing buses even when they run on one-way pairs on widely-spaced avenues. The question of how much time is saved by skipping a stop is difficult – not only do different Brooklyn buses give different answers, all lower than in Manhattan, but also the B35 gives different answers in different directions. A time cost of 30 seconds per stop appears like a good placeholder, but is at the higher end for Brooklyn.

The question of how many stops to add to SBS on the B44 and B46 has several potential answers, at the tight end going down to 400 meters between stops. At 400 meters between stops, the B44 would average 13 km/h and the B46 12 km/h. At the wide end, the B44 and B46 would gain stops at major intersections: on the B44 this means Avenue Z, R, J, Beverly, Eastern Parkway, Dean, Halsey, and Myrtle, for an average interstation of 570 meters and an average speed of 14 km/h, and on the B46 this means Avenue U, Fillmore, St. John’s, and Dean, for an average interstation of 610 meters an average speed of 13 km/h. Consolidating all buses into the same stopping pattern permits about a bus every 2.5 minutes peak and every 4 minutes off-peak on both routes.

On the other routes, consolidating local and limited routes required tradeoffs and cannibalizing some peak frequency to serve the off-peak. While it may seem dangerous to limit peak capacity, there are two big banks that can be used to boost off-peak frequency: time savings from faster trips, and greater regularity from consolidating stop patterns. The B82 is an extremely peaky route, running 7 limited and 10 local buses at the peak and just 6 buses (all local) for a four-hour midday period; but there is a prolonged afternoon shoulder starting shortly after noon with another 6 limited buses. Some peak buses have to be more crowded than others just because of schedule irregularity coming from having two distinct stop patterns. Consolidating to about 15 buses per hour peak and 10 off-peak, cannibalizing some frequency from the peak and some from the shoulders, should be about neutral on service-hours without any additional increase in speed.

The sixth post on this blog, in 2011, linked to frequent maps of Brooklyn, Manhattan, and Bronx buses, using a 10-minute standard. There has been some movement in the top buses since 2011 – for one, the B41 route, once in the top 10 citywide, has crashed and is now 16th – but not so much that the old map is obsolete. A good place to start would be to get the top routes from a 10-minute standard to a 6-minute standard or better, using speed increases, rationalization of the edges of the network, and cannibalization of weak or subway-duplicating buses to boost frequency.

Reforming Pensions

I don’t usually write about labor issues or pensions specifically, but an interview I got with a clerical union representative a few months ago made me think about pensions and vesting. I’ve come to believe that, to improve labor productivity at US public agencies (including transit, but not just), it would be useful to reform pensions, keeping their current levels and defined-benefit nature, but changing them to vest annually. That is, a year of working for a public agency at salary X should entitle a worker to a retirement annuity equal to a fraction of X, depending on age and years of experience (the fraction should be higher at lower age, representing more time the pension fund has had to gain interest).

In contrast, state governments in the US today have a long-term vesting model. I talked to Tim Lasker, president of the local Office and Professional Employees International Union, representing MBTA clerical workers. I intended to ask about salary competitiveness and retention, but Lasker told me that the pension system represents a “golden handcuffs.” People who are on the job for 25 years have fully-vested pensions, but people who leave earlier leave a chunk of money on the table by going. As a result, people with 15 or so years of experience don’t leave.

Jamal Johnson, a labor relations analyst working for the state government of Pennsylvania, said that in Pennsylvania pensions take up to 30 years to fully vest, and take 10 years to even partially vest, so workers who leave earlier get nothing.

The result is that there isn’t much turnover among employees with defined-benefit pensions. This is not a good thing. Lasker told me there is a lot of burnout, and a lot of people who just show up to work but aren’t productive, and are just punching the clock every day until they vest. They’re not lazy, and probably would quit in frustration and leave to a place where they could be more productive if it didn’t come at an enormous cost. Among the people who don’t have defined-benefit pensions, such as assistant secretaries and M.B.A. hires, there is much more turnover – too much, per Lasker, with people typically staying 1-2 years.

In the private sector, the best practice seems to be letting stock options vest after a number of years, as in the tech industry. But this is in an environment with performance bonuses – the idea is that giving workers shares in the company that only vest in a few years will incentivize them to work toward the company’s bottom line. The pensions are defined-contributions, which means the company and employee set aside money for a savings account that the government undertaxes, rather than providing a real pension.

Calls for pension reform in the public sector have tried to look to private-sector models, hence calls on the right (e.g. by Nicole Gelinas) to give public employees tax-deferred defined-contribution pseudo-pensions rather than actual pensions. Unless the point is to surreptitiously cut pension obligations, there is little point in this. The difference between a defined-contribution and a defined-benefit pension is ultimately who bears the risk of the worker living longer than expected. Under defined-contribution, it’s the worker, who then has to save much more money to avoid being penniless at 90. Under defined-benefit, it’s the company, which can average the amount across a large number of employees. In effect, defined-benefit pensions work as free life insurance.

The problem with the defined-benefit model today is purely that it assumes people work for the same agency their entire life, and thus pensions take decades to vest. This might have made sense in the middle of the 20th century, but it doesn’t today. People burn out, at which point it’s mutually beneficial for both sides to have them look for a new job and for the agency to look for a new worker. With burned out employees, the effect of the golden handcuffs on loyalty is not positive: people who are just punching in and out have no reason to be especially loyal to an employer that they hate. And the effect on morale is destructive: Lasker did not tell me this, but I suspect that with so much resentment among middle management, new hires are inducted into a culture in which good work is not valued. Lasker blamed mismanagement, and it is likely that this mismanagement percolates down the food chain.

There’s also limited risk of revolving door with transit agencies. In regulatory agencies, limiting employee exchange with the private sector is desirable, because otherwise workers have an incentive to shirk their duties in exchange for later high-paying jobs at the private companies they’re supposed to regulate. Tax collection agencies, safety agencies (including the FRA), and antitrust regulators are all at risk of regulatory capture. But transit agencies exhibit little such risk, since they do operations in-house. Capital programs are more vulnerable, but there, the people who are most affected by the revolving door are at the very top, and they’re not relying on a union pension. So the biggest risk coming from encouraging turnover at other public agencies is limited when it comes to transit agencies.

With this in mind, it’s useful to come up with a model in which pensions work like defined-contribution pseudo-pensions – that is, a sum of money the employer gives the worker that’s earmarked for a tax-deferred savings account. However, to reduce the aforementioned risk of running out of money in old age, it should be defined-benefit. I’m not aware of an existing model that achieves this, but it doesn’t mean such a scheme is impossible: the numerical parameters of this scheme (retirement age, rate of return, etc.) are already set in union agreements. All that’s required is to break down the pension into fractional amounts, accumulated every year of work, and cut the overall levels slightly so as to account for people who leave before their money is vested.

The big drawback of this plan is that there’s no real political appetite in the United States for any benefit-neutral pension reform. The unions might be interested, but without small cuts to offset people who leave early, a small additional increase in spending is required; the effect on productivity should be more than high enough to justify it, but the current zeitgeist in rich American cities treats pensions as outdated for ideological reasons. These same reformers who, as a rule, are outsiders to the union and think in terms of defined-contribution pensions, aren’t especially interested in making defined-benefit pensions work. If they think in terms of attracting and retaining talent, they think in terms of higher base wages.

Public Transit Unions

In this post, I would like to explain an observation: public transit workers are unionized even in countries where few workers belong to a union, such as the US and the UK. Attempts by management to win concessions from the unions have often led to prolonged strikes, for example the 108-day strike by SEPTA workers in 1983. This is not just the public sector: the private railroads in the US are unionized, and in 1964 the Florida East Coast Railway had a year-long strike. Nor is this because the public operators and private railroads have a unionized legacy: many private bus shuttles used by Bay Area tech firms to get workers from San Francisco to Silicon Valley offices have unionized drivers, including Facebook and Google, even though the tech industry as a whole is predominantly non-union. Public transportation workers, especially on-board crew, are in a position of strength, and I would like to explain why.

First, let us recount how unions work. At their heart is collective bargaining: the union negotiates wages and benefits for the entire membership. An individual worker who is paid too little can quit, which is unlikely to cause the employer much concern; a union can launch a strike, thereby getting higher wages and better work conditions than each individual worker could obtain alone.

In order to be able to collectively bargain, there needs to be a collective in the first place, which means two separate things:

  1. Politically, there needs to be a sense of solidarity among the workers. The workers need to see each other as comrades, or as colleagues, and not as competitors. They need to feel like the union represents their interest. This is unlikely to happen in industries where there is substantial competition for promotions to managerial roles, but easier in industries with clear separation between line workers and managers. It is also unlikely to happen in industries with rapid turnover of employees.
  2. Economically, there needs to be a reasonable way to set a uniform wage scale. This means that the work done by the various employees in each category must be interchangeable, or close enough to it that wages can be made equal. In turn, this requires that the job not have a strong sense of merit, in which some workers are persistently much more productive than others. Productivity differences should be related to seniority, or easily worked into wage agreements (for examples, sales agents can collectively bargain for a uniform commission structure). It’s fine if there is differentiation into several job categories, but then it’s best if this differentiation is rigid, so that workers in each group do not often have to do the job of workers in other groups.

Conversely, if the union goes on strike, management has tools to fight back, including the lockout, or more commonly hiring strikebreakers. To deter management from doing so, the union can exercise peer pressure on people not to scab (condition 1 above), but it also union needs to also fulfill a third condition:

  1. The job must be skilled enough that it is hard for the employer to hire and train strikebreakers quickly. On a nationwide basis this makes unionization easier in a tight labor market, hence socialist support for monetary policy that prioritizes full employment over price stability. But on a per-industry basis, this condition requires some difficult pipeline that workers must go through: a degree, long training, apprenticeship, or bespoke familiarity with the project at hand.

Conditions 2 and 3 are in tension, since skilled jobs are more likely to involve workers with different levels of productivity. For example, retail workers fulfill condition 2, but are easy to replace if they go on strike and the labor market is not tight. In contrast, programmers easily fulfill condition 3, in the sense that if the entire development team on a project quits, it will be difficult for the company to find a new one and get it up to speed, but because there is a wide range of productivity levels, it makes little sense for programmers to all be paid the same. Silicon Valley’s business culture, in which developing a product fast is more important than establishing a business culture, and turnover is encouraged, also makes it hard to establish meaningful solidarity among software developers.

In the intersection between these three conditions lie a set of job descriptions in which there is a strong sense of professionalism, to meet condition 3, but a weak sense of merit, to meet condition 2. These jobs are typically static in the sense of not changing too much over the years, which makes it ideal for a person to do the same thing for their entire life, learning to adopt new technologies gradually as they are introduced but not having to change their entire skillset. Often, the industries these jobs are in are static as well, whence they are more easily done by the public sector, or by large conglomerates that have been around for generations, such as the private US railroads.

Commercial drivers – of buses, trucks, trains, planes – are a major example of people who satisfy all three conditions. One racecar driver can be better than the next by being faster, but in the commercial sector, speeds are determined by the equipment, the schedule, and the safety standards. A train driver can be better than another on the margins, by responding more quickly to an obstacle on the tracks, or paying attention to the posted schedule better, but both of these aspects depend more on external factors, such as the signal system, than on driver skill. Train schedule padding, accounting for suboptimal driver behavior such as beginning to brake too early but also for propagating delays and passengers who take too long to board or alight, consists of a few percent of total travel time: in its peer review of California High-Speed Rail, JR East proposes 3-5% (PDF-p. 10); and a Swedish study for high-speed rail mentions a 0.9-2.3% discrepancy in energy consumption based on driver behavior (PDF-p. 12) and a total schedule pad equal to about 7% of travel time (PDF-p. 24). The productivity difference, or in other words individual merit, is too small to challenge the logic of a uniform wage scale.

Instead of individual merit, commercial drivers have professionalism. A train driver is expected to fulfill certain criteria to ensure safety first and punctuality second, which requires considerable study of the route of the train, the signal systems, the dispatching codes, the correct way to respond to various unforeseen circumstances. Unlike individual car drivers, commercial drivers are not permitted to take small risks in other to go faster, and learning how to pilot a vehicle safely takes some time; all of this is true manifold if the vehicle in question is a plane, leading to arduous certification requirements. In this setting, even in an environment of absolute control by management, there’s little reason to have different payscales – at most, management can penalize workers who make mistakes.

For the same reasons that train drivers have standards of professionalism, it is easy for them to form a cultural group with internal solidarity. They have their own knowledge set and jargon, as anyone who has tried reading threads on railfan forums knows. The transportation industry changes slowly enough, in terms of both travel demand and technological progress, that most train drivers can expect to work for the same company for decades. Even bus drivers, in an industry that’s less dependent on physical plant, can expect to move between bus operators.

The other major category of public transportation workers, maintenance workers, is not as clear-cut. There is certainly a difference in merit – some people just fix things faster than others. But at the same time, the importance of safety is such that giving financial incentive to working faster can lead to shoddy work. Instead, there are extensive regulations, developed by national safety authorities as well as internally by rail operators, specifying which tasks need to be performed and at what intervals.

Unlike train drivers, maintenance workers aren’t interchangeable – they have more specific job titles. But these job titles often lend themselves to easy categorization, such as electricians and welders. Those have their own standards, and the potential for major accidents encourages uniformity of credentials and of wages, while the complexity of the machinery these workers operate ensures that they must be skilled. This leads to the same presence of professionalism without differential individual merit seen in the case of train drivers, and ensures all three conditions facilitating unionization are present.

In a healthy company, technology progresses as fast as it can given the requirements of the industry, and the union rules are reasonable. Wages and benefits are higher with collective bargaining than without almost by definition, but they cannot be massively higher – those are skilled workers, who are not easily replaceable. In environments where the rules are unreasonable – perhaps the certification requirements are more onerous than necessary, perhaps labor-saving technologies are not used, perhaps the work rules are not suitable for a modern operation – management cannot easily force the union’s hand. Even when three people do the job of one, as in the case of US commuter rail operations with conductors and assistant conductors, labor is in a position of power, and reform-minded managers cannot easily hire strikebreakers.

Train Operator Labor Efficiency

Last summer, I brought up a metric of railroad labor efficiency: annual revenue hours per train driver. Higher numbers mean that train drivers spend a larger proportion of their work schedule driving a revenue train rather than deadheading, driving a non-revenue train, or waiting for their next assignment. As an example, I am told on social media that the LIRR schedules generous crew turnaround times, because the trains aren’t reliably punctual, and by union rules, train drivers get overtime if because their train is late they miss the next shift. Of note, all countries in this post have roughly the same average working hours (and the US has by a small margin the highest), except for France, which means that significant differences in revenue hours per driver are about efficiency rather than overall working hours.

I want to clarify that even when union work rules reduce productivity, low productivity does not equal laziness. Low-frequency lines require longer turnaround times, unless they’re extremely punctual. Peakier lines require more use of split shifts, which require giving workers more time to commute in and out.

The database is smaller than in my posts about construction costs, because it is much harder to find information about how many train operators a subway system or commuter railroad employs than to find information about construction costs. It is often also nontrivial to find information about revenue hours, but those can be estimated from schedules given enough grunt work.

In Helsinki, there is a single subway trunk splitting into two branches, each running one train every 10 minutes all day, every day: see schedules here and here. This works out to 65,000 train-hours a year. There are 75 train drivers according to a 2010 factsheet. 65,000/75 = 867 hours per driver. This is the highest number on this list, and of note, this is on a system without any supplemental peak service, allowing relatively painless scheduling.

In Toronto, there were 80,846,000 revenue car-km on the subway in 2014 (an additional line, the Scarborough Rapid Transit, is driverless). Nearly all subway trains in Toronto have six cars; the Sheppard Line runs four-car trains, but is about 10% of the total route-length and runs lower frequency than the other lines. So this is around 13.5 million revenue train-km. According to both Toronto’s schedule of first and last trains per station and this chart of travel times, average train speed is around 32 km/h between the two main lines, and a bit higher on Sheppard, giving about 420,000 annual service hours. In 2009, there were 393,000 hours. Toronto runs two-person train operation, with an operator (driver) and a guard (conductor); this article from 2014 claims 612 operators and guards, this article from 2009 claims 500 operators alone. 420,000/500 = 840, and, using statistics from 2009, we get 393,000/500 = 786; if the article from 2014 misrepresents things and there are 612 drivers in total, then 420,000/612 = 686. If I had to pick a headline figure, I’d use 786 hours per driver, using the 2009 numbers. Update: the Scarborough RT is not driverless, even though the system could be run driverless; from the same data sources as for the subway, it had 23,000 operating hours in 2014, which adds a few percent to the operating hours per driver statistic.

In London, unlike in North America, the statistics are reported in train-km and not car-km. There are 76.2 million train-km a year, and average train speed is 33 km/h, according to a TfL factsheet; see also PDF-p. 7 of the 2013-4 annual report. In 2012, the last year for which there is actual rather than predicted data, there were 3,193 train drivers, and according to the annual report there were 76 million train-km. 76,000,000/33 = 2,300,000 revenue-hours; 2,300,000/3,193 = 721 hours per driver.

In Tokyo, there used to be publicly available information about the number of employees in each category, at least on Toei, the smaller and less efficient of the city’s two subway systems. As of about 2011, Toei had 700 hours per driver: from Hyperdia‘s schedules, I computed about 390,000 revenue train-hours per year, and as I recall there were 560 drivers, excluding conductors (half of Toei’s lines have conductors, half don’t).

In New York, we can get revenue car-hour statistics from the National Transit Database, which is current as of 2013; the subway is on PDF-p. 13, Metro-North is on PDF-p. 15, and the LIRR is on PDF-p. 18. We can also get payroll numbers from SeeThroughNY. The subway gets 19,000,000 revenue hours per year; most trains have ten cars, but a substantial minority have eight, and a smaller minority have eleven, so figure 2,000,000 train-hours. There were 3,221 train operators on revenue vehicles in 2013, and another 373 at yards. This is 556 hours per driver if the comparable international figure is all drivers, or 621 if it is just revenue vehicle drivers. The LIRR gets 2,100,000 annual revenue car-hours, and usually runs trains of 8 to 12 cars; figure around 210,000. There were 467 engineers on the LIRR in 2013; this is 450 hours per driver. Metro-North gets 1,950,000 annual revenue car-hours, and usually runs 8-car trains; figure about 240,000. It had 413 locomotive engineers in 2013; this is 591 hours per driver.

In Paris, the RER A has 523 train drivers (“conducteurs”). The linked article attacks the short working hours, on average just 2:50 per workday. The timetable is complex, but after adding the travel time for each train, I arrived at a figure of 230,000 train-hours a year. 230,000/523 = 440 hours per driver. There’s a fudge factor, in that the article is from 2009 whereas the timetable is current, but the RER A is at capacity, so it’s unlikely there have been large changes. Note also that in France, workers get six weeks of paid vacation a year, and a full-time workweek is 35 hours rather than 40; adjusting for national working hours makes this equivalent to 534 hours in the US, about the same as the New York subway.

Netroots Nation and How the 99% Talk Hurts Consensus

For the first time since 2006, I went to Netroots Nation, as it’s held in Providence. There was one panel about public transportation, entitled “Saving Public Transportation,” whose speakers included Larry Hanley, who dominated the discussion; a moderator; and three political activists: including a local union leader, a Sierra Club representative, and a state legislative candidate who Greater City is supporting. The discussion focused on preserving bus operations rather than on expansion – in fact Hanley made the point that agencies expand capital while cutting back service because the federal government only pays for capital rather than operating funds.

Since the panel was entirely political, and dealt mostly with funding issues, when it was time for questions I asked about the saddling of transit agencies with highway debt; I specifically mentioned Massachusetts’ putting Big Dig mitigation debt on the MBTA. I wanted to see if the panelists would say anything about mode shifting or about the relative power of highways and transit.

Instead, Hanley, who took the question, ignored what I said about highway debt, and instead answered about refinancing debt at lower interest rates, as issue his union is harping about. In reality, according to his union’s own figures, the MBTA could save $26 million a year by refinancing debt; for comparison, its deficit this year, which it plugged with service cuts and a large fare hike, was $163 million, and its total debt payments in 2006 were $351 million, of which $117 million came from the Big Dig. Although the parts of this debt that are not from the Big Dig come from true transit projects, those were voted on by the state legislature, rather than by the MBTA; transit’s low position in the transportation funding food chain is thus responsible for 13.5 times as much money as could be extracted from the banks.

So at first pass, Hanley was pivoting to an issue he was more comfortable talking about, which happens to involve a fraction of the amount of money in question. But at second pass, something more insidious happened. Instead of answering a question about transportation priorities and getting state governments to assume debt they’d unfairly loaded onto transit agencies, which would require clashing with other departments with their own agendas, Hanley preferred to shift blame onto banks. He did not include figures during the panel and so I could not know he was talking about such a small amount of money; his explanation for focusing on the banks is that the MTA renegotiated deals with contractors to get lower prices, so it should do the same with the banks.

And after thinking about this, I realized how it shows exactly how despite appearances, the “We are the 99%” slogan is the exact opposite of any sort of democratic consensus. It silences any notion that there are different interests among the 99%. The auto workers and Providence’s carless residents are both members of the 99%; they have diametrically different interests when it comes to transportation. But in the Grand Struggle, the 99% must be united, and thus the leaders shift any discussion to the common enemy, no matter the relative proportions of the amounts of money in question.

After Scott Walker’s win, Matt Yglesias wrote that different industries have clashing interests just as much as labor and business do. But even within the framework of fighting big business’s influence, two of the most influential opposing interest groups, the union movement and small business, have different interests and are hostile to each other. Dean Baker wrote in The Conservative Nanny State that small businesses are being coddled because they pay lower wages and benefits on average; in general, the American union movement has not organized small businesses and supports the businesses it has already organized, and is hostile toward new companies, which are usually non-union. Small business in turn is hostile toward regulations on wages, starting a business, and so on.

The 99% framing papers over all of that. The voices that dominate the protests believe themselves to be the true representatives of 99% of the population, and by implication their own issues to be the most important. Other issues are subsidiary, or outright distractions from the primary needs. Any movement that claims to represent everyone is not consensual but nationalistic, and just as nationalism requires the elites to declare a certain archetype to be Real Americans (or Britons, or French) and everyone else to be one of many negative stereotypes, so does this 99% framing require movement leaders to coopt or downplay other groups’ issues.

Consensus comes from clashing points of view. The Swiss Socialists are farther left than what is considered serious liberal opinion in the US, and the Swiss People’s Party is about as far right as the Tea Party; they and the centrist parties are more or less in a grand coalition. The consensus comes from the realization that no single faction will ever dominate, and thus the best it can do is distill how it can advance its stated goals (poverty reduction, smaller government, greater national cohesion, etc., depending on the party). The Occupy protesters have very high supermajority requirements at their general assemblies, but they do not have this clash, this diversity in either viewpoints or demographics. They have procedural near-unanimity but not actual consensus governance, leading to a system that excludes most interest groups that comprise the 99%; unsurprisingly, the movement has severe problems with race, since its center is white and thinks it speaks for everyone.

Of course, within the union movement something similar is happening, with the dominant group being the older members. This is what New York-area transit commenter Larry Littlefield calls Generation Greed, spanning people of all political classes.

The end result is that no matter how much rhetoric is thrown around about new politics, forward-looking progressives, and so on, what ends up is a repetition of an old hierarchy, one with Real Working People and with fake ones. It has to; when it has no capability of dealing with tensions between transit users and other groups, or between whites and blacks, or between labor and small business, it cannot project any unity of the 99% otherwise. And without unity, it’s a movement without any clear policy agenda.

The Option of Profitable Transit

David Levinson’s post saying that transit should strive to restructure and be profitable stirred much discussion on neighboring blogs, including Human Transit (which broadly agrees with the idea if not the libertarian tone) and The Transport Politic (which does not), as well as multiple commenters who chimed in noting that it’s ridiculous to require transit to break even when cars get so many subsidies. While I agree with Levinson and Jarrett’s sentiments about core versus welfare services in principle, in practice the causes of transit losses are orthogonal to the subjects under discussion; the actual issues are somewhat related to what the commenters mention, but those commenters don’t go nearly far enough.

In the original post, Levinson proposes the following distinction:

Mass transit systems in the United States are collectively losing money hand over fist. Yet many individual routes (including bus routes) earn enough to pay their own operating (and even capital costs). But like bad mortgages contaminating the good, money-losing transit routes are bogging down the system.

We can divide individual systems into three sets of routes:

1. Those routes break-even or profit financially (at a given fare). This is the “core”.

2. Those lines which are necessary for the core routes to break-even, and collectively help the set of routes break-even. These are the “feeders”.

3. Those lines which lose money, and whose absence would not eliminate profitability on other routes. These money-losers are a welfare program. We might politely call them “equity” routes.

Jarrett, whose work has focused on priorities, not only agrees with the distinction but also downplays the importance of routes in category #2, and has often advocated that agencies let go of low-performing routes and concentrate on trunk frequency. While Jarrett is right and this distinction is critical when an agency needs to reduce its expenditure, it’s not going to make any agency profitable.

The number of routes in the US that break even financially is minimal. It’s easy enough to come up with routes that cover their avoidable costs, but transit has enough fixed costs that retreating to them is not going to be enough. For a New York example, see this spreadsheet, due to Cap’n Transit: although multiple bus routes are portrayed as profitable, once one checks the more detailed spreadsheet the Cap’n links to, it turns out that when including both direct and indirect operating costs, the best-performing route, the M86, drops from an operating ratio of 172% to one of 91%. Moreover, the best-performing routes do not form a trunk system, but are for the most part short-hop crosstown buses, with very high ridership per kilometer of route length. Most networks that actually are profitable consist of buses feeding into the Lincoln Tunnel, a choke point that has an exclusive bus lane in the morning rush hour.

Since in some other parts of the world urban transit is in fact profitable, we need to address causes other than the existence of lesser-used routes. I propose that instead of classifying American lines into profitable and unprofitable ones, a division in which one category is going to be very lonely, we classify whole networks according to what makes them lose so much money. I believe the following list of causes is relatively uncontroversial for good transit advocates:

1. High labor costs, predominantly overstaffing, but at some agencies (for example, Muni) also very high salaries.

2. Poor design, e.g. of intermodal transfers.

3. Low fares on some networks, which exist predominantly to provide minimal mobility of last resort rather than core transportation.

4. Bad regulations, especially when it comes to regional rail.

5. An auto-oriented policy.

Cause #5 is the elephant in the room. It’s not just ongoing auto subsidies and such mandates as Euclidean zoning and free parking. It’s also a decades-long history promoting auto-centric development, as a result of which uses are too widespread and low-intensity for transit to be of much use on most trips. Even edge cities are too dense sometimes; if you can find Robert Lang and Jennifer LeFurgy’s sadly now behind paywall article Edgeless Cities, read it for a quick explanation of the limitations of the relatively intense but auto-centric development form of Tysons Corner or White Plains.

The best analogy I can give here is a growing industry or industrial zone. Early on in a country’s development, it will want industrial policy: subsidies, tax breaks, protectionism. The US railroads got it, most Japanese exporters got it, Samsung and Hyundai got it. As a country becomes richer and its economy becomes more mature, those industries become profitable and suddenly start advocating free trade and free markets, even for themselves, and whine loudly at the suggestion that rich regions or industries should subsidize poor ones.

There are plenty of routes in the US that, while unprofitable now, could be made profitable with better management and operating practices. This is usually what I write about. Those are causes #1, 2, and 4. Cause #3 applies to some but not the most relevant agencies; fares in large US cities tend to be average or high by international standards, though perhaps lower than the revenue-maximizing fares. Altogether, fixing what are essentially issues of competence is going to raise transit use, possibly to acceptable levels. But it will not turn New York into Tokyo, Boston into Taipei, or Providence into Zurich.