Category: Transportation

Relative Costs of Transit Construction

The relative costs of different technologies of transit are not fixed. Although there are some rules of thumb for the ratio of tunneling cost to above-ground transit cost, the actual ratio depends on the city and project, and this would favor the mode that’s relatively cheaper. Likewise, the ratio of operating to capital costs is not always fixed, and of course long-term real interest rates vary between countries, and this could again favor some modes: more expensive construction and cheaper operations favor buses, the opposite situations favor rail.

In general, els cost 2-2.5 times as much as at-grade light rail, subways 4-6 times as much, according to Table 6 in this Flyvbjerg paper; Table 5, sourced to a different previous paper, estimates per-km costs, and has ratios of 1.8 and 4.5 respectively.

However, specifically in Vancouver, the premiums of elevated and underground construction appear much lower. The cost estimates for rail transit to UBC are $2.9 billion for an almost entirely underground extension of SkyTrain and $1.1 billion for at-grade light rail along Broadway, both about 12 km. Elevated construction is in the middle, though closer to the light rail end: the estimates for the two all-elevated SkyTrain extension alternatives into Surrey are $900 million for 6 km for rapid transit alternative 3 and $1.95 billion for 15.5 km for alternative 1. The under-construction Evergreen Line, which is 11 km long of which about 2 are in tunnel, is $1.4 billion.

In the rest of Canada, this seems to be true as well, though the evidence is more equivocal since the projects that are considered above-ground are often elevated rather than at-grade. The Canadian above-ground projects that Rob Ford’s Eglinton subway is compared with are not wholly above ground. Calgary’s West LRT, which with the latest cost overrun is $1.4 billion (a multiple of the preexisting three-line system) for 8 km, includes a 1.5 km tunnel, a short trench, and some elevated segments. Edmonton’s North LRT is $750 million for 3.3 km, of which about 1 km is in tunnel and the rest at-grade. But while it’s hard to find the exact ratio because of those mixed projects, the costs are not consistent with the ratios found in Flyvbjerg’s sources.

Outside Canada, those ratios seem to hold up better. American above-ground transit projects, such as the Portland Milwaukie extension and the Washington Silver Line, are as expensive as Calgary and Edmonton’s light rail, but American subways are much more expensive than Toronto’s Eglinton subway ($325 million/km, 77% underground and the rest elevated): Manhattan tunneling is more difficult, so its $1.3-1.7 billion/km cost may not be representative, but conversely, BART to San Jose’s $4 billion for about 8 km of tunnel is for tunneling partially under a wide railroad right-of-way, with no crossings of older subway infrastructure as is the case for Eglinton at Yonge.

Conversely, French tunneling costs are comparable to or lower than Canadian ones, but at-grade light rail is far less expensive than in North America. The RER E extension was at least as of 2009 budgeted at €1.58-2.18 billion for 8 km of tunnel (see PDF-page 79 here; this excludes €620 million in improvements to the existing commuter lines the tunnel will be linked with) – somewhere between the per-km costs of Vancouver and Toronto subways, but in a much denser environment with more infrastructure to cross. But the cost range for Parisian trams is much lower, about €30-50 million per km, in line with the subway:tram cost ratio of 4-6; the cost range in other French cities tends to be a little lower.

What this means is that in Canada in general, and in Vancouver in particular, questions about what mode to build should have higher-end answers than elsewhere. It doesn’t mean that the Eglinton subway is justified, but it does bias suburban rail lines in Vancouver toward elevated SkyTrain extensions rather than light rail, and inner extensions toward SkyTrain subways. For the same cost of building a subway under Broadway, Translink couldn’t build too much additional light rail; it could build two lines, say on Broadway and 41st, or maybe three if both non-Broadway routes are short, but certainly nothing like the entire network that SkyTrain opponents believe is the alternative, citing European tramway construction costs.

Nobody Likes Riding North American Commuter Rail

In New York, two neighborhoods at the edge of the city have both subway and commuter rail service: Wakefield and Far Rockaway. Wakefield has 392 inbound weekday Metro-North boardings, and 4,955 weekday subway boardings. Far Rockaway has 158 riders (an average of boardings and alightings) and 4,750 subway boardings. Although both Wakefield and Far Rockaway are served by the 2 and A, which run express in Manhattan, those trains make many local stops farther out – in fact the 2 and A are the top two routes in New York for total number of stations – and are much slower than commuter rail: the 2 takes 50 minutes to get to Times Square while Metro-North gets to Grand Central within 25-30 minutes; the A takes about 1:05 to get to Penn Station, the LIRR about 55 minutes.

Vancouver, whose commuter rail service runs 5 daily roundtrips, all peak-hour, peak-direction, has a weekday ridership of 10,500. The Evergreen Line, duplicating the inner parts of the commuter rail service, is expected to get 70,000.

Caltrain, a service of intermediate quality between Vancouver’s peak-only trains and New York’s semi-frequent off-peak electrified service, has an intermodal station at Millbrae, which is now BART’s southern terminal. Millbrae has 5,970 BART exits per weekday versus 2,880 Caltrain boardings. And BART takes a circuitous route around the San Bruno Mountain and only serves San Francisco and the East Bay, while Caltrain takes a direct route to just outside the San Francisco CBD and serves Silicon Valley in the other direction.

The MBTA provides both subway and commuter rail service, with several intermodal stations: Forest Hills, Quincy Center, Braintree, Porter Square, Malden, JFK-UMass. In all cases, ridership levels on the subway are at least 30 times as high as on commuter rail. Rapid transit and commuter rail stations are close together at the edge of the Green Line’s D line, a former commuter line; the line’s outer terminus, Riverside, gets 2,192 weekday boardings, while the nearest commuter rail station, Auburndale, gets 301.

Across those systems and several more, such as Chicago’s Metra and Toronto’s GO Transit (no link, it’s private data), the commuter rail stations located within city limits, even ones not directly adjacent to a rapid transit station, usually get little ridership (there are some exceptions, such as Ravenswood on Chicago’s UP-N Line). The suburban stations beyond reasonable urban transit commute range are much busier.

Of course, this is just a North American problem. In Japan, where commuter rail and urban rapid transit are seamlessly integrated, people ride commuter rail even when the subway is an option. Consult this table of ridership by line and station for JR East lines in Tokyo: not only would any investigation of ridership on the main lines (e.g. Tokaido on PDF-page 1, Chuo on PDF-page 8) show that their ridership distribution is much more inner-heavy than in New York and Boston, but also stations with transfers to the subway can have quite a lot of riders. Nakano on the Chuo Line, at the end of Tokyo Metro’s Tozai Line, has 247,934 daily boardings and alightings, comparable to its subway traffic of 133,919 boardings.

Although my various posts about commuter rail industry practices focus partially on operating costs, this is not directly what makes people choose a slower subway over a faster commuter train. Rather, it’s a combination of the following problems:

1. Poor service to microdestinations. Rapid transit gets you anywhere; North American commuter rail gets you to the CBD. For people in Wakefield who are going anywhere but the immediate Grand Central or East 125th Street area, Metro-North is not an option. Station spacing is too wide, which means the choice of destinations even from a station that isn’t closed is more limited, and trains usually make just one CBD stop.

2. Poor transfers to other lines. The transfers usually require paying an extra fare and walking long distances from one set of platforms to another.

3. High fares. In the German-speaking world, and in Paris proper, fares are mode-neutral. It costs the same to ride the RER as the Metro, except for a handful of recent Metro extensions to the suburbs that postdate the RER, such as to La Defense. In Japan, JR East fares are comparable to subway fares, though there are no free transfers. In North America this is usually not the case: it costs much more to ride commuter rail than to ride a parallel subway or light rail line.

4. Low frequency. This is partly a result of low ridership based on the previous factors, partly a tradition that was never reformed, and partly a matter of very high operating costs. With low enough off-peak frequency (Wakefield and Far Rockaway are served hourly midday), commuter rail can achieve cost recovery similar to that of subways, and in some cities even surpass it. People who have no other options will ride hourly trains.

None of those problems is endemic to mainline rail. They’re endemic to North American mainline rail culture, and in some cases to labor practices. It’s all organization – it’s not a problem of either electronics or concrete, which means that the cost to the taxpayers of fixing it, as opposed to the political cost to the manager who tries to change the culture, is low.

The electronics and concrete do matter when it comes to building extensions – and this is where the ARC Alt G vs. Alt P debate comes from, among many others – but even commuter rail systems that do not need such extensions underperform. For example, Toronto does not need a single meter of commuter rail tunnel. Philadelphia, which already got most of the concrete it needs and partially fixed the microdestination problem, gets somewhat more commuter rail ridership in areas where people have alternatives, but frequency on the branches is still pitiful and inner-city stop spacing outside Center City is still too wide, leading to disappointing ridership.

Another way to think about it is that infrastructure should be used for everything, and not segregated into local transit and railroad super-highways that aren’t very accessible to locals. There are eight tracks connecting Manhattan directly with Jamaica, but the four used by the subway are far busier than the four used almost exclusively by suburbanites. Something similar is true of the Metro-North trunk, and some MBTA and Metra lines – the commuter rail infrastructure is redundant with rapid transit and gives very high nominal capacity, but in reality much of it is wasted. In this way, the mainline rapid transit concept including the Paris RER, the Germanic S-Bahn, and the Japanese commuter rail network, far outperforms, because it mixes local and regional traffic, creating service that everyone can use.

Sanity Checks on HSR Ridership

If you multiply the populations of the metro areas served as a proxy for HSR ridership, then by comparison to Shinkansen lines as well as the AVE, New York-Washington traffic should be about 15-20 million passengers per year. It’s even higher if we include Madrid-Seville, an overperformer with more ridership than Madrid-Barcelona. This is just between the two metro areas, excluding additional passengers to Philadelphia. This raises two questions: what does the data suggest about modifying product-of-populations as a proxy, perhaps to account for distance? And, more importantly, is such ridership realistic for the Northeast Corridor?

First, at least on the Shinkansen and the AVE, in the range of distances up to nearly 4 hours, there’s no effect of distance on ridership, especially if we combine air and rail ridership. (We’re trying to apply this analysis to a city pair on which trains will take not much more than an hour and a half; end-to-end air traffic can be assumed to be zero.) Beyond that, Tokyo-Fukuoka air and rail ridership combined still underperforms shorter-distance links. One explanation is that as distance increases, total travel volume decreases, but rail and then air market share grows at the expense of cars and buses, and in the 1.5-4-hour range, these effects more or less cancel out. At longer distances, there is no longer much highway travel for trains and planes to poach.

With distance ignored, large cities consistently underperform small cities. This is not a surprise based on SNCF’s refined gravity model of ridership, in which travel volume is proportional not to the product of the city populations, but to the product raised to an exponent lower than 1. SNCF uses an empirically derived exponent, between 0.8 and 0.9, and AVE and Shinkansen data is indeed more consistent with that range. Some city pairs still underperform in a way that can’t be explained by population and distance, such as Tokyo-Okayama, but the exponent perfectly explains why Tokyo-Osaka underperforms a model with exponent 1.

So what about the Northeast Corridor? Current Amtrak ridership between New York and Washington is 1.74 million, but that’s just between Penn Station and Union Station. Amtrak provides its top 10 city pairs in the Northeast in its Master Plan, which include New York-Baltimore and New York-BWI, at 650,000 between them. I don’t know the ridership on more minor city pairs, such as those involving Newark or Stamford. I would guess the total including those is about 3-3.5 million; this is based just on extrapolating that of the top-10 markets on the southern half of the line just under half the ridership is between the New York and Washington metro areas, and applying a fudge factor to account for the fact that secondary markets not involving New York-Washington are less likely to make the top 10.

In contrast, based on comparison to the Shinkansen and AVE, we should expect HSR ridership of 15-20 million, about 5 times what I believe the present ridership is. (In fact, based on comparison to the lower-fare KTX, it should be if anything higher.) This is despite the fact that the current trip time is either 2:47 or 3:25 whereas with HSR it would be about 1:35. The importance of this is that we can’t expect induced demand to quintuple ridership out of halving trip time, but instead we need to explain this based on competition with cars and buses.

Part of this competition has to be about fares. Amtrak charges very high fares (see the route performance report) – on average, 28 cents per km on the Regional, and 48 on the Acela. Shinkansen fares average 23 cents per km on Tokaido, 20 on Sanyo, and 24 on the JR East network. That said, the shorter distance of New York-Washington means that absolute fares are not higher, particularly on the cheaper option. However, high fare per km does mean the trip is less competitive with cheap express buses and with driving.

This comes in addition to travel time. The Regional is an hour faster than Megabus; HSR that is three hours faster Megabus, especially if it’s also cheaper than today’s Regional, could make a serious dent in the Megabus network. Express buses already have trouble with secondary markets, because those can’t piggyback on primary markets as intermediate stops the way they can with trains. Better trains could poach the express bus market and reduce it to where it was ten years ago.

At the range of the top-performing city pairs, most people take trains rather than use roads. I do not have data for individual city pairs in Japan (but see here for Korea, where HSR overperforms, perhaps due to lower fares, which are about 15 cents per km before discounts), but at the distance of New York-Washington, 360 km, trains get a little more than half the total mode share and cars get the other half. Amtrak’s 2010 Vision says that the current rail mode share on the entire Northeast Corridor is 6%; it does not say what the share on New York-Washington is, but I’ve seen 14% elsewhere (no reference, sorry), and the Vision says that incremental Master Plan improvements will raise it to 26%. Of course going from 14% to 50% also involves induced demand, and this means the expected rise in ridership is a higher factor, potentially a factor of 5.

I’m not going to try using this method to estimate shorter-distance ridership, because then car ownership, sprawl levels, etc. become a much bigger issue, and quick-and-dirty sanity checks don’t work and are no replacement for serious ridership studies. But we can apply the method to other longer-distance portions of the Northeast Corridor. If we use the lower end of the scale, we get New York-Washington at 15 million annual passengers or a little more, New York-Boston at 15 million or a little less, Boston-Washington at 6 million, Boston-Philadelphia at 5 million.

As a secondary sanity check, the Boston-Washington air market is about 2.5 million, and for HSR to get 2.5 times as much ridership on a formerly air-dominated city pair as the pre-HSR air travel volume is the same performance Eurostar got.

All four metro areas should be interpreted as broadly as possible, to maintain comparability with Japanese metro areas, whose definition is loose and roughly comparable to the American combined statistical area. So there are just four cities on the Northeast Corridor, really. This is still not all the ridership there is – there is still New York-Philadelphia and Philadelphia-Washington, I’m just less comfortable making even an ex-recto estimate. But even without those two potentially high-ridership city pairs, we get high passenger density on all segments of the line.

Update: although I have not found city-to-city ridership data from France, I have found region-to-region numbers from Paris to the southwest. I also have some air traffic volumes from which we can deduce air/rail markets: on Paris-Nice the TGV has a 31% share of the air/rail market; on Paris-Marseille I’ve seen numbers ranging from 60% to 83%, and for this post’s purposes I’m going to assume 70%. We get air/rail traffic numbers from Paris to Marseille (5.2 million, but this grows to 9.2 million if we assume 83% TGV share and declines to 3.9 million if we assume 60%), Nice (4.2 million), Midi-Pyrenees (3.2 million), Aquitaine (5.5 million), and Poitou-Charentes (3.3 million). With the exception of the Midi-Pyrenees number, which represents a fairly long distance, all overperform the Shinkansen. Ignoring distance as always and using an exponent of 0.8, Paris-Marseille overperforms Tokyo-Sendai by a factor of 1.85, Paris-Nice by 2.21, Paris-Midi-Pyrenees by 0.77 (i.e. it underperforms), Paris-Aquitaine by 1.26, and Paris-Poitou-Charentes by 1.22. Per-kilometer fares are much lower than on Shinkansen – indeed SNCF’s total revenue, both high- and low-speed, divided just by TGV passenger-km, is €0.14 – and this can contribute to the higher traffic.

Paris-Nice can be explained as a major leisure corridor, similar to the unusually high passenger traffic to Florida or Las Vegas. But bear in mind that Nice and Marseille are metro areas and not entire regions, and under any assumption that Bordeaux and Toulouse get a greater share of the travel to Paris than the rural areas in their respective regions, they will overperform by a substantial margin. Although French metro areas are defined less loosely than Japanese ones, which can skew the Marseille and Nice numbers, the Aquitaine and Midi-Pyrenees numbers are if anything defined too loosely due to the inclusion of outright rural departments.

Carolyn Maloney’s International HSR Proposal

Carolyn Maloney, the Congresswoman representing Manhattan’s East Side, gave an interview to the Globe and Mail in which she called for high-speed rail between New York and Canadian cities. She did not specify which cities, but presumably those are Montreal and Toronto. The article quoted Andrew Cuomo as saying that connecting New York to Montreal and Toronto would be “transformative,” though it did not mention that Cuomo killed plans for HSR from New York to Buffalo. It is unclear to me whether Maloney is serious, or merely as serious as Cuomo; for the purposes of this post, let us assume that she is serious. Is it justifiable to build HSR from New York to Montreal and Toronto?

Long-time readers will know that I am skeptical of international HSR lines. But let me explain why I think New York-Toronto could be successful, while New York-Montreal could not.

First, perhaps because of the common language, the travel markets from the US to Montreal underperform those to Toronto. According to Statscan data, Toronto has about three times as many travelers to New York, Chicago, Los Angeles, and the other top metro areas in the US as Montreal does. The two cities’ metro area population ratio is only about 1.5:1; this is indeed the ratio of their travel markets to leisure destinations such as Las Vegas and Miami. US data generally points to higher numbers, sometimes by a substantial margin; it also points to a ratio of about 2.5-3:1 between Toronto and Montreal travel, this time even to Las Vegas and Miami. (US data excludes planes with up to 60 seats, but these are only about 20% of New York-Toronto departures, and of course a smaller proportion of seats.)

In addition, New York-Toronto may be in a similar situation to New York-London, in which the two cities’ common industry (finance) leads to more business travel. For some evidence of this effect, the Canadian data shows that Calgary and Houston, the two countries’ respective oil capitals, are each other’s top air market on the other side of the border. The same is of course true of financial capitals New York and Toronto, though as the largest cities in their respective countries, this is less surprising. But we should not overinterpret this effect: the New York-Toronto air market is still just 900,000 people a year (according to Canada) or 1.5 million (according to the US), though it far beats New York-Montreal’s 300,000 or 600,000.

Even 1.5 million times an induced demand factor is not enough to build HSR by itself. We could add existing travel volumes from New York to Niagara Falls and from Toronto to Buffalo, but most likely they are not enough by themselves.

The main reason New York-Toronto could be defensible is that a large majority of the New York-Toronto construction would not be done just for New York-Toronto travel. HSR on the Empire Corridor, up to Buffalo, is justifiable entirely based on domestic traffic. At the other end, the Lakeshore West corridor, which already can sustain medium speeds (GO’s top speed is 150 km/h), should be electrified and retrofitted with passing sidings based entirely on local commuter traffic. There are about 100 km between Buffalo and Hamilton, and 160 between Buffalo and Toronto, compared with 850 between New York and Toronto. Since HSR fares and operating profits roughly scale with distance traveled, the operating revenue of the lower-trafficked 100 km between Buffalo and Hamilton should really be multiplied by 8.5. If New York-Toronto traffic is about 3.5 million a year, a similar multiple of preexisting air traffic as Eurostar, then we can expect the construction of the 100 km to add about 3 billion passenger-km a year; 30 million passenger-km of revenue per km of route to be constructed is very good, comparable to the Sanyo Shinkansen. If we need to use New York-Toronto traffic to justify even Toronto-Hamilton upgrades, then we’ll have 18.5 million passenger-km of revenue per km of construction, comparable to the JR East Shinkansen network.

Of course these passenger densities, and hence returns on investment, are not available to the full line; they’re only available to this last link completing New York-Toronto. To enjoy such favorable ratio the preexisting routes must already be in place. We cannot use the 30 million passenger-km/km figure to justify building New York-Buffalo as a first step toward New York-Toronto. If Maloney intends to do that, then she is setting the line up for failure; 3.5 million passenger-km/km is too little. Amtrak has about the same on the Northeast Corridor, from which it squeezes operating profits, but the capital construction was paid by private railroads between 1831 and 1917; building a greenfield line for this performance is unwarranted. At most, we can use it to add to domestic traffic in case the merits of a domestic line are close to good enough but not quite.

New York-Montreal does not have the same advantage as New York-Toronto. Not only is the travel volume much smaller to being with, but also it would require building about 360 km of route, in the rolling hills of Vermont, to create a link of 590 km. Very little of that 360 km is a reasonable commuter rail route by itself – on the line I sketched to measure distance, only 30. So at best this is 330 out of 590. If we attempt the same calculation as for New York-Toronto, we obtain just 2.7 million passenger-km/km. Moreover, the intermediate markets are much weaker than US-Niagara Falls or Buffalo-Toronto. For now, HSR between New York and Montreal should remain an unfulfilled dream of Montreal boosters.

Of course, it’s possible that Maloney just emphasized the possible connections to Canada, and her actual drive is going to be Empire Corridor HSR, which is a welcome change from Cuomo’s opposition. Canadians do not vote in US elections. In that case, a link to Toronto would become stronger, because of the piggybacking on preexisting New York-Buffalo HSR. The line would hinge entirely on constructibility over the river and border control issues then. International links underperform, but sometimes they are short enough relative to the possibility to be worth it.

Quick Note: Are Freeways Safer?

Freeways are, in principle, much safer than roads with at-grade crossings. With postwar design standards, they eliminate the frictions that are responsible to a vast majority of accidents: grade crossings, left turns, opposite traffic (since they have medians by design), and so on. They also maintain higher design speeds and capacity than less safe local streets. But a more interesting question for policy purposes than “are freeways safer?” is “does the construction of freeways increase road safety?”

For some evidence that the answer is no, see PDF-page 3 of a John Adams paper from 1987 arguing for the continued primacy of Smeed’s Law. Traffic deaths per unit of vehicle distance driven had declined in both the US and UK at a rate following a multi-decade log-linear trend: 3.3% per year in the US, 4.7% in the UK. Regardless of whether Adams’ theory is correct, we can compare actual death rates to the trendline to see what happened. In the US, where the data goes farther back, the greatest period of freeway construction started in the mid-1950s and ended in about 1970; this was also a period in which traffic deaths increased, even more than the trendline based on the explosive growth in driving predicts. Of course the Interstate system also led to traffic growth on at-grade arterials, but the greatest construction growth was in freeways, and on top of this suburban sprawl meant more people would be driving on both the new freeways and the older parkways.

The Smeed’s Law explanation of this is as follows: drivers compensate for the greater safety of freeways by driving more carelessly, on both the freeways and the connecting local roads. The freeways are still safer, but the presence of any safety-improving technology will translate entirely to higher speed and capacity (i.e. drivers keep less distance than they would otherwise), and more careless driving.

There may be other explanations out there – for example, the construction of more roads will cause more dangerous vehicles to start circulating that would not otherwise. These include heavy trucks, and also cars piloted by poor drivers who would not have driven if the construction of an expansive highway had redirected development in such a way that more driving would be needed.

But in either case, what this means is that even though a freeway upgrade of a notoriously unsafe road will make it safer, it will not make the overall road network safer. To argue by analogy with congestion pricing, it is possible that the only way to bend the curve and accelerate the downward trend of vehicle deaths, beyond reducing driving, is to make it more expensive to drive unsafely. For example, insurance requirements could be raised from $25,000 to the rough insurance value of human life in the US, which is in the millions. (The same should be true of any transportation system, but buses and trains are much safer for their passengers than cars.)

Are Forecasts Improving?

In response to my takedown of Reason, specifically my puzzlement at the estimates of inaccuracy in traffic forecasts, alert reader Morten Skou Nicolaisen sent me several papers on the subject. While there is past research about traffic shortfalls, for example this paper by Flyvbjerg (hosted on a site opposing the Honolulu rapid transit project), Flyvbjerg’s references are papers from twenty years ago, describing mostly subway projects in developing countries, but also rapid transit and light rail projects in the US built in the 1970s and 80s. Unlike Flyvbjerg, who posits that planners are lying, the authors of the papers he references have other theories: currency exchange rate swings, the challenges of underground construction, inaccurate forecasts of future economic growth, outdated traffic models based on postwar road traffic models. See section 6 of Walmsley and Pickett, and sections 3.3 and 4.2 of Fouracre, Allport, and Thomson (see also the range of costs for underground construction in developing countries in section 3.3).

The question is then whether things have improved since 1990. Since the first study to point out to cost overruns and ridership shortfalls in the US was by Pickrell, the question is whether post-Pickrell lines have the same problems, or whether there are better outcomes now, called a Pickrell effect.

The answer, as far as ridership is concerned, is very clearly that ridership shortfalls are no longer a major problem. See recent analysis by Hardy, Doh, Yuan, Zhou, and Button; see specifically figure 1. Cost overruns also seem to be in decline and are no longer big, although a multiple regression analysis finds no Pickrell effect for cost, just for ridership.

In particular, there is no comparison between projects from 30 years ago, most of which are underground, and present-day developed-world high-speed and urban rail lines.

Peak Factors and Intercity Trains

In contrast with Reason’s fraud, CARRD’s Elizabeth Alexis makes a more serious criticism of the XpressWest plan: there is a prominent peak in travel from Southern California to Las Vegas on Friday afternoon and Sunday afternoon, and this means that there will be a lot of ancillary costs associated with peaks, such as extra rolling stock with low utilization rates. More ambitiously, she compares it to commuter trains’ peaks, and uses this to argue that commuter rail-style subsidies may be required. The reality is quite different – intercity trains just cost less to run per seat than local trains, and although the Southern California-Las Vegas travel market may have a stronger peak than most, the difference with high-speed services around the world is (at most) one of degree and not kind.

First, let’s look at how much actual peaking there is between Southern California and Las Vegas. XpressWest’s Environmental Impact Statements include an analysis of current travel patterns (as of 2004) and a ridership projection. This is contained in the ridership forecast in appendix F-D. Table 16, on PDF-page 55, claims that present auto traffic on Friday is 2.03 times as high as on other weekdays and 1.48 times as high as on the average day, including both low-use days and the weekend peak. On Sunday, the numbers are 2.53 and 1.84 respectively. The ridership projections assume that the annual-to-Friday ridership ratio will be 236 (the annual-to-weekday ratio on urban transit systems in the US appears to be about 300). Of course, it is unlikely that traffic is evenly distributed on the peak days – most likely it clusters in the afternoon peak.

However, the same is true, if only slightly less prominently, on existing HSR. For some evidence of this, read SNCF’s proposals for HSR in the US, linked on The Transport Politic, which explain that by rotating trains for maintenance during weekdays SNCF can have near-100% availability for the weekend peak. On PDF-page 195 of the California proposal, it says,

To cater to weekend traffic peaks, train maintenance operations are scheduled to take place between midday on Mondays and Thursday evening and at night.

By timing maintenance in this way, approximately 80% of the fleet can be available in the week (between Monday noon and Friday noon) and as much as 98% at weekends.

This does not mean the peak-to-base traffic ratio on the TGV is 98:80. It is normal on local and regional trains to have both more capacity available for the peak and more crowding. On the TGV all passengers must reserve a seat, but SNCF can instead institute peak pricing. For a random example, I tested Paris-Lyon tickets on October 10th (a Wednesday) and the 12th (a Friday). In both cases, frequency is hourly in the morning and early afternoon and half-hourly in the afternoon peak – but the fare was €25-30 on Wednesday versus €60-89 on Friday beginning at 5 pm. And with only two intermediate stops, both quite far from Paris and in very small towns, the LGV Sud-Est is not a good commuter route. Routes with significant high-speed commuter traffic are different: in the off-peak most Paris-Tours trips require a transfer, and there are only two direct TGVs before the afternoon peak, at 7:34 and 1:40 again on 10/10, and two direct low-speed intercity trains; in the afternoon peak, this rises to half-hourly direct TGVs and additional low-speed trains, and the fare on the two most expensive peak TGVs is €59 versus €15-20 in the off-peak.

In contrast, let us now look at the subsidized local services, both in France (for comparability with the TGV) and in the US and Japan (where schedules are easy to obtain). In Japan, we can use Hyperdia to find the peak-to-base ratio; three heavily used lines in the Tokyo area that I specifically checked – Yamanote, Chuo Rapid (to Tachikawa), and Tokaido Main (to Odawara) – have about twice as much inbound frequency in the peak hour, 8-9 am, than in the afternoon and evening off-peaks. In the US, BART, which is similar in function to European commuter trains, runs 24 trains per hour through the Transbay Tube and the central San Francisco subway at the peak, 16 in the midday off-peak, and 6 in the evenings and on weekends. New York’s subway schedules show a peak-to-midday ratio of about 2, with slightly reduced traffic in the evenings and on weekends. Paris runs 30 tph in the peak on the RER A (in the peak direction) and 20 on the RER B, and 18 and 12 respectively in the midday off-peak; this makes for a lower peak-to-base ratio than on the TGV, but does not lead to profitability.

Elizabeth’s problem with running strongly peaked HSR is that it would have a lot of empty trains, and this by itself would require subsidies. This sounds reasonable, but the actual difference between the profitability of intercity and local trains is not seating utilization. Taiwan HSR had 46% seat occupancy in 2009; it made a profit before interest. The Sanyo Shinkansen averages about 35 actual riders per car (compare car- and passenger-km on PDF-page 19); the 16-car sets that run through from the Tokaido Shinkansen average 83 seats per car, and the 8-car sets that run exclusively on Sanyo average 71. I do not know the seating occupancy on Japanese commuter trains, though it likely averages well over 100%, but in New York, subway cars average 28 passengers, a seat occupancy of about two-thirds. For an alternative measure, taking seating capacity into account, New York subway cars average about 1.5 seats per linear meter, versus 1.4 on the Sanyo Shinkansen.

Nor is the issue a difference of fare – PDF-page 18 of the Sanyo factsheet establishes an average fare of about $0.20 per passenger-km – and unlike on the TGV, fares do not vary based on time of day. Just the operating expenses of the New York City Subway are $0.21 per passenger-km. Those on Sanyo are far lower, judging by JR West’s profitability after depreciation and interest. Something else here is going on: intercity trains can control costs better, perhaps because they have less legacy infrastructure and labor to deal with, or perhaps because faster trips mean that the trains and their operators are more productive.

Of course any operator should strive to reduce the peak-to-base ratio, and doing so can result in meaningful gains in productivity. Vancouver’s busiest bus, the 99-B, benefits strongly from a bidirectional peak; it has not eliminated the peak, but by avoiding unidirectionality, at least the reverse-peak buses don’t run empty.

For XpressWest, it means it is strongly favorable to go after the Las Vegas-to-Los Angeles market, which the Victorville terminus ensures the trains will not serve at all due to passengers’ different responses to transfers at the origin and destination end. So far its plan is to just wait for California HSR to open a Palmdale-Los Angeles link; it has Victorville-Palmdale as a second phase, with plans to either run through-trains to Los Angeles and San Francisco or (worse, and unlikely) make people transfer at Palmdale. This is not enough, and although California is committed to building through Palmdale, it may not have enough money for it; the current budget is $15 billion to complete Bakersfield-Palmdale-Sylmar, which requires $9 billion in outside, presumably federal funding.

At the risk of heresy, let me propose that XpressWest build a medium-speed link, above ground, through Cajon Pass. High speeds are not possible anyway because of the grade, so they might as well compromise on other design standards, build curves of radius 1 km (146 km/h with the currently proposed cant and FRA waiver-free cant deficiency, 160 km/h maximum with unambitious European cant and cant deficiency, 200 km/h with tilting trains and high cant) and not 4 km, and keep everything above ground.

The risk of cost escalation is still higher than for building in the I-15 median north of Victorville, because environmental and geological work may sow that a tunnel is needed in any case. But given that XpressWest can make a profit on Victorville-Las Vegas alone, why not spend a few millions on studying Cajon Pass, and if it proves affordable then build to San Bernardino and if not then not? Independently of what California HSR does northwest of Los Angeles, a route to San Bernardino is already enough to make XpressWest independent of traffic congestion, reduce the need for a large parking lot in Victorville, and raise the number of Las Vegas-to-Los Angeles travelers from zero to small. And beyond that, electrifying and double-tracking Los Angeles-San Bernardino and running through-service cannot be done under present FRA regulations, but is feasible given enough waivers and then the project would provide bidirectional service.

Reason Releases Fraudulent Report Criticizing XpressWest

In response to the forthcoming FRA loan application by XpressWest (the rebranded Desert Xpress) for its high-speed rail line from the edge of the Los Angeles metro area to Las Vegas, Reason published a report claiming the project would fail. Coauthors Wendell Cox, who cowrote a fraudulent report about Florida HSR, and Adrian Moore, argue that costs will be higher and ridership lower than expected, leading to operating losses and bankruptcy. I still have some doubts about XpressWest’s business plan, but Cox and Moore skirt or ignore the real problems, and instead choose to attack it using numbers that are distorted and at times completely made up.

The smoking gun that something nefarious is going on is the attempt to remodel ridership in terms of competition with cars and planes. In table 2 on PDF-page 20, the report shows door-to-door travel times by the different modes to Las Vegas from various origins in Southern California, including Victorville itself, Riverside (80 km and a mountain pass away), and Los Angeles (130 km away). The assumption, which is for the most part correct, is that passengers drive to the airport or train station and need to factor in congestion, and the explicit assumptions on access time are spelled out in table A-1. The zinger is that while station and airport access times are computed by taking the free-flow Google Maps travel time and adding a congestion cushion, the assumed door-to-door travel times for people driving assume free-flow travel – and even this required me to pick a particular (albeit reasonable) location on the Strip that is closer in than the Google Maps point labeled Las Vegas.

For examples, the travel times by car given from Victorville, Riverside, and Los Angeles are 2:56, 3:47, and 4:20. Those are approximately equal to the free-flow travel times to the Palazzo on the Strip. Needless to say, traffic is not free-flow in Southern California. As of this writing, on Friday at 4:15 pm Pacific Time, Google Maps gives me a travel time of 4:23 from Los Angeles to the Palazzo free-flow but 5:13 in current traffic; figure the extra 50 minutes make it 5:10 over the 4:20 given in the study. The door-to-door travel time for a train from Los Angeles is given as 5:04 to Vegas and 4:04 from Vegas, the difference coming from not needing to budget as much time for the possibility of traffic and arrive extra-early. In other words, including realistic rush-hour conditions, driving is not 14 minutes faster than the train on average in each direction, but 36 minutes slower.

In addition, the report slightly overstates the train’s travel time, as 1:40. The environmental impact statement claims, on PDF-page 39 of FEIS chapter 2, that 150 mph electric trains (the alternative that has since been selected) will take 1:24. While this is an ambitious average speed for this top speed, it is achievable for a nonstop train. Subtract 16 minutes from train time and now driving all the way from Los Angeles is 52 minutes slower than the train. As an additional check on the model, Cox and Moore assume travelers must arrive at the train station 20 minutes before departure, in addition to the congestion cushion. This is not observed in HSR systems in such countries as France and Germany, where open station design means people can arrive a few minutes before departure. Figure 5 minutes and now driving is 1:07 slower than the train.

Let us now step back and examine the general argument of the report. Cox and Moore argue the following: there is a tendency for costs to escalate (as examined by Bent Flyvbjerg) and for ridership to fall short of predictions (they call it the International Average Error Forecast but supply no reference and give no indication of the computation involved, and given the above zinger regarding travel time nobody should trust this). The ridership model has flaws, and a series of sanity checks argue that ridership will fall far short while costs will escalate. It is therefore better, they claim, to expand I-15 instead to deal with rush hour capacity.

At every step of the way, the report makes substantial errors. Cox seems aggressively uninterested in the actual causes of cost escalation and ridership shortfalls, following Flyvbjerg’s note in his original paper that cost escalation can come from many sources but it is fairly certain that there will be some cost escalation in a megaproject.

We can do better, and examine recent HSR projects. In Spain, some meet projections and some do not. For example, the Madrid-Barcelona corridor was 25% below projections in 2010, and appears to have fallen farther behind in 2011 – but in 2008 the line was only 4% behind projections, and with a deep recession and 20% unemployment, Spain can be excused for having less economic activity than projected at the height of its bubble. Likewise, in Taiwan and South Korea the HSR lines have fallen far below projections made in the 1990s, when their economic growth was extremely fast – but even those projections failed a sanity check: Korea thought it would get more HSR riders than the Sanyo Shinkansen, which looks reasonable based on city sizes until one remembers that the Sanyo Shinkansen also connects to Tokyo at one end and the KTX does not; Taiwan had estimated similar ridership, even though its largest city, Taipei, had not many more people than the Sanyo Shinkansen’s distant-second largest city and only one third as many as Sanyo’s largest, Osaka. In contrast, French lines tend to overshoot projections, as can be seen in the above link for Taiwan.

In all cases it can take a few years for ridership to build up: Taiwan took 2 years to achieve profitability after depreciation but before interest (and is now profitable even after interest after a refinancing at a lower interest rate), which Cox and Moore spin as “The project suffered an accumulated loss of two-thirds of its private investment in the first 2.5 years of operation.”

Las Vegas did have a bubble, and is slowing down now, although it is nowhere near the level of depression Spain is in. The report in fact mentions that growth in hotel rooms and travel to Las Vegas has stalled (although part of it is due to the national recession, rather than a Nevada-specific crash). It comes close to mark, but even here it fails to note possible similarities and differences with case studies of shortfalls. However, since the report attacks not just projected 2035 growth but also base-case ridership for 2012, it does not deserve this charity, even as here it skirted a real problem rather than completely missing it.

To criticize the actual model, on PDF-page 34 Cox and Moore attack it for surveying a sample of 400 people and asking them if they would ride the train. They attack the general approach of stated-preference, without giving any reference for why it is bad (they include one sentence of criticism), and then offer the following platitude: “It would seem that a prediction of ridership using a ‘less than trainload’ sample would be insufficient on which to make multibillion dollar decisions.” This is not serious analysis; this is the same criticism that led people to disbelieve that George Gallup could forecast elections by polling just a few thousand voters. The relevant paragraph from the ridership model that they could does mention that 400 riders means they results are “less precise than the reported analysis indicates,” but the same passage says later, which they do not quote, that the problem comes from having polled only 51 air travelers, where they would like 150-200 people per mode. Fortunately they polled 300 drivers, and it is auto/rail mode split forecast that is hard, while air/rail is a fairly straightforward function of travel time – see figure 1 of an EU air/rail report.

Now, in lieu of the ridership model that the report criticizes, it offers sanity checks. These are normally a useful check on wildly inaccurate estimates, and if done in the 1990s would have made it clear Taiwan was not going to have 180,000 riders a day, and even its present-day traffic of 110,000 is a miracle. Cox and Moore offer two sanity checks. First is the aforementioned comparison to car and airplane travel time; that one can be disposed of due to fraudulent numbers. Another is a comparison to the Acela between New York and Washington. If the Acela only gets 2 million riders per year, they argue on page 35, how can Victorville-Las Vegas get 9 million?

Of course, people who have taken Amtrak know that the Acela is only about one-third of the ridership on the Northeast Corridor, and the time travel difference between Acela and Regional trains is small enough that the distinction is one of branding and service class. Amtrak claims on PDF-page 41 of its Northeast Corridor Master Plan that 70% of the corridor’s riders (of whom there are 11 million) are on the New York-Washington segment, so that’s already nearly 8 million, not 2 million. Further, the Acela is a slow train – its average speed, 130 km/h south of New York, is not much better than that of the legacy express trains that the TGV replaced; the average speed of the Regional is worse. To argue that XpressWest is just like Acela, Cox and Moore do not offer a serious model of the effect of access and egress times on ridership, but instead issue platitudes about a train that stops 40 miles outside the city.

To see how professionals model ridership, see for example Reinhard Clever’s thesis (the relevant pages are 26-33) as well as a short note of his regarding last-mile connectivity. Transfers, he argues, are less onerous at the origin end of the trip than at the destination end: if they must transfer, 55% of riders prefer to do so at the origin end, 22% in the middle, and 22% at the end. Likewise, commuters in auto-oriented suburbs of transit cities (the example given is Toronto) drive long distances to park-and-rides, but balk at transferring from the city-center station to the subway. Normally the origin end is likely to be the smaller city, but in the case of XpressWest, Las Vegas is the destination rather than the origin. As a result, it is unrealistic to expect significant ridership from Las Vegas residents traveling to Los Angeles (and XpressWest is not assuming any), but quite realistic to expect riders to go in the opposite direction.

Finally, the cost overrun projection is fraudulent. As Cox did in the report about Florida, on PDF-page 40 he is comparing a simple line in a freeway median to the Central Valley segment of California HSR, a line with substantial viaducts and grade separations. To his credit, he no longer includes the 11-point rubric of his Florida report, which overemphasized relatively small components of the cost like electrification and underemphasized civil infrastructure. Instead, the report just says it’s unrealistic to expect cost to be lower than in the Central Valley, without further explanation except that the Central Valley is flat; the need for plenty of grade separations and viaducts is not mentioned.

This could be attributed to a simple mistake, but in fact footnote 76 argues based on the simplicity of the terrain and the ample space in the median that widening I-15 will be cheap, only $1.6-2.5 million per lane-km ($2.6-3.9 million per lane-mile) in both directions. No connection is made with the fact that a grade-separated median is not available to California HSR. In fact California is planning to widen Route 99 from 4 lanes to 6 at $6 billion (PDF p. 22); it is unclear to me how long of a stretch of 99 is under consideration, but the full length including segments north of Sacramento is 640 km, of which about 240 appears to be already 6-lane, which would make the cost $15 $7.5 million (it would include freeway conversion, but the same issue with grade separations is true of California HSR and has been the primary driver of cost overruns in the Central Valley). The construction cost difference between the Central Valley and XpressWest is a factor of 2; perhaps it’s Cox and Moore who, in assuming one ninth to one sixth one fifth to one third the per-km cost of CA 99’s Interstate conversion, are lowballing costs for their own favored project, and not XpressWest. (Update: I misread the footnote, and the cost contained therein is $1.6-2.5 million per unidirectional lane-km.)

No other argument is presented that costs will run over, except that according to Flyvbjerg they might. Since the projected costs are well within California’s per-km cost if one omits the viaducts, tunnels, and grade separations, we can assume that costs are likely to stay under control. In fact the cost escalations on international HSR lines have typically come from heavy tunneling, which is less predictable than at-grade construction. The at-grade lines in France have stayed within budget. In Norway the 50% cost overrun of the airport train was centered on a difficult tunnel. German lines run over too, but have significant tunneling as well, and the recent overruns in Korea (subtracting the first phase, comparing cost projections from 2010 and 2000 shows a 40% overrun) were in the nearly-50%-in-tunnel second phase. But in Japan, as far as I can tell recent Shinkansen construction is on-budget despite heavy tunneling, and the same is true of AVE construction in Spain. Tunnels, we can conclude, are riskier than at-grade construction; in fact the biggest risk for at-grade construction, as seen in the California HSR project, is that viaducts or tunnels will be needed due to further engineering or environmental work, and running alongside a freeway minimizes the chance.

Because the study’s attempts to model cost and ridership are so weak, it should not be considered a serious challenge to XpressWest. Cox has had a troubled relationship with the truth in the past, and there is no argument he won’t make, no matter how ridiculous, to argue for the superiority of car travel over rail and mass transit. It’s actually the strong arguments that he fails to make – for example, regarding a possible comparison between Las Vegas and overheated East Asian Tiger economies. (For the record, I think Las Vegas is going to come out solid in such comparison.)

It is in reality quite easy for HSR to make enough money to cover above-the-rail expenses, and even track maintenance is quite cheap at about $125,000 per double track-km, but covering interest expenses is harder. Despite the canard that only the LGV Sud-Est and the Tokaido Shinkansen have paid back their interest, sourced to as far as I can tell just one person and reproduced by Cox and Moore on PDF-page 43, in reality multiple intercity railroads are profitable even including interests. This includes all three main island Shinkansen operators in Japan, SNCF, and DB. The belief that they are not comes from two sources: in Europe, conflation of subsidized commuter lines with profitable intercity lines, which are usually run by the same national railroads, and in Japan, the fact that the government wiped the accumulated operating deficit debt of Japan National Railways after splitting and privatizing it, but not Shinkansen construction debt (see references here).

So if Reason is so wrong, and XpressWest will likely meet both ridership and cost projections, what are my problems? In one word: uncertainty. Projected XpressWest revenue, on PDF-page 54 of the ridership model, is about $500 million per year in today’s money. Long-term inflation-protected federal debt is unusually cheap right now and this could make XpressWest a prudent investment – as of the time of this writing, the US can sell 30-year inflation-protected bonds at an interest rate of 0.5%, or $32 million on a $6.5 billion loan. HSR margins in Europe are low, but in Taiwan the margin in 2009, excluding interest, was 25%, which is enough (that said, despite falling far short of expectations, Taiwan HSR has very high ridership for what it is, and of course lower ridership means lower margins independently of interest rates).

But 0.5% interest is for safe investments, and infrastructure is not a safe investment. The claims that costs would run over and ridership would fall short are probably going to be proven wrong if construction goes through, making the project a success, though not a smashing success. But if the reduction in Las Vegas’s growth proves permanent and not just one recession, or if casino gambling declines, or if station access time proves more important than previously assumed in the model, or one of many other things that could go wrong, operating profits will decline.

This is what Cox fails to understand when quoting Flyvbjerg. Flyvbjerg talks about an average cost overrun – but more than that, he is concerned with risk. Many projects stay within budget or run over just a little, but a few cost several times as much as the original estimate. Telling the Big Digs and East Side Accesses apart from the Madrid Metro extensions is hard, and this is why it’s not appropriate to compute interest rates based on the borrowing costs available to the federal government.

At a riskier rate of return, things are troubling, as Paul Druce notes: he compared revenue estimates to the 30-year T-bill interest rates as of last year (3.75%), and found that operating margins would need to be above 25% until 2031 to maintain profitability. XpressWest is now looking for a larger loan than Paul assumed, but at a real rate of return of 2 or 3%, interest would indeed bite into the cost. If the project is that risky, it should therefore not be funded. That said, European transit projects tend to go ahead with a benefit-cost ratio higher than 1.2, which is certainly true of this project.

So the question is twofold. First, whether it’s sensible to lock in low interest rates and fund projects that would not be able to pay back their loans at the interest rates of a fast-growing economy. Second, how risky the project is. The first question is easier: on a pure cost-benefit analysis, the federal government can afford to lose a few billion dollars on a small number of bad investments, as long as it makes it up with enough successes, and this makes the net financial cost of the project to the government low (but positive, since it bears downside risk but does not benefit from the upside except indirectly through taxes); on top of this, precisely because the High Desert and Nevada are in deep recession, this project has additional economic benefit. The recession won’t last forever, but it exists now and will probably continue for the duration of construction.

I believe the answer to the second question is that it’s of moderate to high risk. The risk of cost escalations is low because the right-of-way is already secured and there is no difficult civil infrastructure. The risk of ridership shortfalls is more substantial – ridership estimates, especially of road/rail mode shares, have an inherent uncertainty, and on top of that the recession could cause permanent damage to Las Vegas. In addition, the strong Friday peak of travel to Las Vegas means that more rolling stock and station infrastructure will be needed relative to ridership than elsewhere, driving down operating margins.

The most troubling part of the project is that growing ridership will require a connection to Los Angeles, and because it requires a difficult mountain crossing, XpressWest is not interested in paying for it. Its current plan is to wait until California HSR opens to the LA Basin, and then link up with a line from Victorville to Palmdale. This is the real cost risk, and not the notion that at-grade rail construction is going to present the same difficulties as urban viaducts and mountain tunnels. In particular, California HSR will need to reconsider how to get from the Central Valley to Los Angeles, and the alternative that links with XpressWest goes through Palmdale, which appears to be more expensive by a few billion dollars than a straighter route through the Grapevine and Tejon Pass.

Since there is no hope for fast enough recovery that interest rates will rise, forcing early investment, it’s fine to wait. I would seriously suggest that the FRA delay decision until after the election, and if the Democrats win control of both the White House and Congress, wait a few more months until there is or is not a federal bill to fund HSR. The important thing to do is avoid biasing California toward an alternative that costs it several billion more dollars for the benefits of the XpressWest operation. Although California seems set on Palmdale, it is feasible that the amount of money Congress will make available for it in six months is enough for an initial operating segment if and only if it switches to the cheaper Grapevine alignment, and then the plan should be to try connecting XpressWest to the LA Basin much later, through tunnels through Cajon Pass. (In fact, if there is any way to get a cost estimate quickly, I would propose that, to see if it’s a reasonable alternative to Palmdale.)

If it’s a yes or no decision then I’m leaning toward yes, but not at any cost. If there is serious competition for other rail projects with higher or less risky benefits, then they should be funded ahead of XpressWest. If the decision biases California against the Grapevine, and the amount of funding available to it (from a separate pot of money, as it’s not asking for an FRA loan) is such that Palmdale would force unconscionable compromises elsewhere, then to protect the more important California HSR project XpressWest should be delayed even at the cost of potentially missing the window in which it can be funded.

But despite my doubts, it’s not a high-speed train to nowhere. It’s a high-speed train from the edge of a large metro area to a major leisure travel destination, and the cost of borrowing is so low that the federal government can expect to make its money back in ordinary circumstances. There is enough cushion against a ridership shortfall that the ordinary uncertainties expected are a small deal, and although a very large shortfall is likelier than for, say, the Northeast Corridor, it’s not probable enough to warrant denying a loan application. If Reason succeeds in canceling the line, it will join Florida HSR as a line that could have had great promise but succumbed to lobbying and fraud.

Are Larger Planes Feasible?

In my previous post, I showed how, in New York, high-speed rail can’t realistically be expected to reduce demand for travel much, and so to decongest its airspace something else is needed. The solutions are to reduce the number of slots, which means either moving them elsewhere (i.e. building relief airports) or increasing plane size. Although increasing plane size is desirable from an operational and environmental point of view, it has problems that make it harder than in Japan, where short-distance domestic flights use widebodies as large as the 747. In contrast, because short-distance air shuttles in the Northeast use very small planes, high-speed rail is a surprisingly promising way to reduce air congestion, despite my original implication.

The key to the plane size problem is this chart of the world’s top air city pairs, with Seoul-Jeju topping at nearly 10 million passengers per year. The chart mainly shows Asian city pairs; Europe and the US are not on the chart. The reason is that the chart considers individual airports, rather than city airspaces; data from within the US shows that there are city pairs that would make the list, all multi-airport. New York-South Florida is close to 20,000 passengers per day, or 7.1 million per year, but there are three airports at each end, and they are fairly evenly matched: the busiest of the nine airport pairs, LaGuardia-Fort Lauderdale, has just 3,500 passengers per day, too few to make the international list.

What this means is that if airlines offer any frequency, it’s harder to provide service with larger planes. Harder does not mean impossible, but this is nothing like the huge travel volumes between Haneda and Japan’s other major domestic airports. Larger planes soak up passengers very quickly: despite being the world’s busiest airport pair measured by seats flown, Tokyo-Sapporo has 23 flights per day, with 767s and 777s, compared with 60 for New York-Boston, mostly regional jets.

The other issue is competition between airlines. Tokyo-Sapporo is a duopoly between ANA and Japan Airlines. The busiest routes in the US have more companies, and if they don’t, then they’re dominated by a low-cost carrier, which will stick to narrowbodies to maintain fleet uniformity. The American competition, including the presence of low-cost carriers, lowers the fare: a random check of a roundtrip between Tokyo and Sapporo in early December gives me a fare of about $900 roundtrip, versus $80 one-way for New York-Chicago for the same check, or $171 on average.

However, the competition also means that if each airline wants to offer high frequency on its own, it must fly smaller planes. Even a plane every two hours works out to about 8 departures per day per direction; if the plane is a 787, it’s nearly 4,000 passengers per day in both directions. The busiest single-airline, single-airport pair in the US is American flying LaGuardia-O’Hare, at 2,400 passengers per day; this excludes connecting traffic, but connecting traffic will not by its own make the difference between LaGuardia-O’Hare and Tokyo-Sapporo.

To ordinary travelers the choice of airline doesn’t matter too much: there’s no difference between having two airlines each with flights that leave on the hour, and having each airline’s flights depart every other hours so that they overlie and create hourly frequency. At 6,300 passenger per day on all airlines, JFK-LAX has enough traffic as it is to run fifteen 787s per day in each direction. But other airport pairs not dominated by low-cost carriers, including those to South Florida, could only support three to five 787s.

More speculatively, good transit access to airports – including commuter rail through-running to allow easy travel from New Jersey and Westchester to JFK and from Long Island to Newark – could reduce the difference between Newark and JFK for the average traveler. This means that Newark and JFK could be lumped together. Business travelers may still want their hourly flights out of LaGuardia, but the rest could do with a flight out of each of JFK and Newark every two hours, alternating.

The problem is that it requires a massive rise in the transit mode share of airport access, because it is impossible to drive between JFK and New Jersey in a reasonable amount of time. That said, a political environment that taxed jet fuel to incentivize larger planes would also tax gas and induce a mode shift toward transit. In either case, LaGuardia would be outside this system, since connecting it to mass transit is expensive, and has little benefit other than airport travel; in contrast, commuter rail through-running is not only cheaper but also useful to people traveling to the Jamaica and Newark CBDs, who outnumber air travelers.

So on the busiest routes larger planes are feasible, but nontrivial. The final question should be how useful this exercise is. Each of New York’s three main airports has about a thousand aircraft movements per day – five hundred per direction. There are about 110 daily departures to Chicago, Miami, and Los Angeles, combined. Consolidation into larger planes can realistically cut about a third, or 3% of aircraft movements – a bit more at JFK, a bit less at the rest on account of low-cost flights. Fort Lauderdale and Palm Beach add another 50 between them, but they’re dominated by JetBlue. A few additional thick markets like San Francisco and Orlando add a bit more, but it can’t amount to more than 5% of the total.

In contrast, there are more than 40 daily flights to Washington, more than 60 to Boston (including Providence and Manchester), and nearly 30 to Philadelphia. Adding in the other cities within 3-hour HSR radius gives us about 300 departures per day, 19% of the aircraft movements. Most of those would see O&D air travel disappear, and even at the outer margin of the radius they’d see air travel greatly diminish. Connecting flights would also decrease, because of the relative ease of air/rail connections. Philadelphia would have no reason for an air connection to New York if people could take a train to the airport that were faster than flying; the same is true of Boston and Washington, though Boston is far enough and has no easy air/rail connection, so it might retain a handful of daily flights.

Although I could weasel and say that everything is needed – larger planes, relief airports, and substitution of short trips by HSR – the reality is that those are not equally significant. Not even close. My previous post’s analysis of New York’s air market papered over a large difference between the share of passenger traffic and the share of aircraft traffic that can be substituted by HSR, coming from the use of regional jets on short-range flights. (By the way, this is especial to New York; in California most short-range flights are run by Southwest and use 737s, and so at LAX, the share of short-range flights among both passengers and aircraft movements is the same, at 21%.)

So as it turns out, a significant portion of New York’s air traffic can be replaced, helping decongest the airspace. The total is close to a quarter, of which nearly 20% comes from HSR replacing the air shuttles, and an additional 3-5% could come from consolidation of domestic thick markets into less frequent flights on widebodies.

High-Speed Rail’s Role in Decongesting Airports

One common argument for building HSR is that it will help decongest airports, by displacing high-volume short-distance flights. This can result in a permanent reduction in air travel, reducing environmental impact, or a diversion of capacity to longer-distance flights, or perhaps a combination of both. The question is then how much air travel can be diverted.

The main source I’m using for this is the Office of Aviation Analysis’s master table of all lower-48 origin-and-destination city pairs with at least 10 passengers per day (table 6, 3rd quarter of ’11). The data is less than perfect, because passengers connecting from a domestic flight to an international flight count as O&D passengers, but for our purposes it is good enough.

As a first filter, we can see that out of a million passengers per day, 206,000 are flying distance of up to 500 miles, and 390,000 are flying up to 773, the New York-Chicago distance. Those 39% of travelers constitute a much smaller portion of emissions than 39% but a larger portion of planes. Furthermore, not all can be realistically moved to trains: at the upper end of this range, HSR can compete with air but not decimate service the way it can on shorter trips, and on top of that many city pairs are not located on any realistic HSR corridor.

So as a second filter, let us construct a table, by major city (i.e. the top 7 O&D cities minus Las Vegas), of what the total volume of travel is to HSR-viable markets:

City <2.5h <3h <3.5h <4h <4.5h <5h
New York (153386) 7.4% 10.7% 15.7% 17.6% 20.6% 32.2%
LA Area (132556) 11.6% 26.4% 26.4% 26.4% 26.4% 26.4%
Bay Area (103752) 0% 18.1% 18.4% 18.4% 30.5% 33.3%
Chicago (103540) 9.5% 16.5% 16.7% 19.9% 22.8% 34.1%
Was.-Bal. (97234) 5.4% 16.7% 22.5% 23.2% 29% 31.3%
Boston (75329) 8.7% 21.3% 23.3% 26.7% 28.6% 31.8%

Although HSR can get nontrivial mode share against air even if it takes 5 hours, it does not reduce air traffic at this range, but instead induces demand. So although HSR can produce competition for almost a third of the air traffic coming into the largest US cities, it cannot divert as much air traffic. Meaningful diversion occurs at much shorter range, perhaps 3 hours, and even that diversion is incomplete. When the 3-hour Eurostar opened, Paris-London air traffic was permanently halved, from 4.3 million per year before the Chunnel opened to about 2 million after; once the travel time was further reduced to 2:15 with the opening of High Speed 1, it further decreased, to about 1.3 million on the dominant Heathrow/CDG airport pair.

What this means is that for decongesting airports, the meaningful column is the second from the left, for trips up to 3 hours. We immediately see that HSR can only have a small effect on New York, but conversely can do a great deal in Los Angeles. New York is at a further penalty since the hub system ensures it will remain an international gateway, and so traffic between two different cities still needs to pass through.

For New York, the best things that can be done then are to use larger planes on domestic flights, and find relief airports. In Japan, the domestic flights use widebodies, sometimes even 747s, and this has enabled Tokyo-Sapporo to grow to become the world’s highest-capacity air city pair. In the US there are more airlines and the city pairs are less thick, but there is still room for larger planes than 737s and 757s. In the other direction, faster LIRR service could turn Islip into a better relief airport, but it would still have to overcome the stigma of being too far. HSR could also turn Philadelphia into a reasonable option: using the Airport Line and a freight corridor to the west to bypass some of the Wilmington Line’s curves and reduce travel time should be considered as a full build-out option, and would also put PHL about 45 minutes away from New York.

The New York versus Los Angeles difference is not too surprising once we consider where their respective second cities are located. San Francisco is 700 km from Los Angeles, Boston and Washington are 350 km from New York and Philadelphia 150. Elizabeth of CARRD tells me that on LA-SF the current mode split is 50% air, 50% car. The situation in the Northeast is different – making reasonable assumptions on seat occupancy, even on NY-DC and NY-Boston more people take a bus than fly.

Update: Anonymouse in comments brings a good point about the distribution of short-haul travel within airport systems: there is often proportionately more of it at the secondary airports. Providence actually has less short-distance traffic than Boston and Midway is about even with O’Hare, but in California, much more short-distance traffic is at the secondary airports.

The five LA-area airports between them have 27.5% of their domestic traffic within 3-hour radius, but this splits as 21% at LAX, 35% at Long Beach, 37% at Santa Ana, 40% at Ontario, and 63% at Burbank. The three Bay Area airports between them have 19% of their domestic traffic going to LA and a total of 35% within 5-hour train radius, but this splits as 14% and 29% at SFO, 27% and 48% at San Jose, and 35% and 57% at Oakland.

Notes about the table:

1. The transfer penalty is set at 20 minutes, for city pairs that have no reason to ever have a one-seat ride. Both low- and high-speed connecting services are included, including HSR trains running through to the legacy network; I am not proposing new HSR tracks to Green Bay.

2. Instead of making hard alignment decisions, I simply ignored everything that would be controversial. The change in numbers is trivial. For example, neither South Bend nor Fort Wayne is included; both combined have only 2,000 daily air travelers anywhere in the lower 48, and only a handful of dozens to each of the cities in the table.

3. The travel times are full-build, so, for example, the Northeast Corridor is 1:30 Boston-New York and 1:30 New York-Washington, rather than the slightly higher travel times that should be aimed at initially. Average speeds range from 240 to 300 km/h on high-speed lines (higher in the Midwest, South, and flat portions of the West, lower in the Northeast and the Californian mountain crossings), and 100-130 km/h on upgraded legacy lines.

4. For US-Canada travel, we use T-100 data for international flights (data from September 2011). The data quality is poor since small planes are excluded, causing an underestimate in traffic on such markets as New York-Toronto, but conversely many of those flights would be double-counted because international-domestic transfers count twice. We can assume that the two effects (ignoring international flights outside Canada, and counting domestic-international transfers) cancel out, which is equivalent to assuming that exactly half of international travelers connect domestically.

5. The full list of cities included in each entry in the table is:

New York:
-2:30: the Northeast Corridor, Hartford, the Empire Corridor up to Rochester, Pittsburgh, Richmond, Burlington, Montreal.
2:30-3:00: Buffalo, Raleigh, Portland.
3:00-3:30: Toronto, Ottawa, Cleveland, Norfolk, Greensboro.
3:30-4:00: Charlotte, Toledo, Fayetteville, Lynchburg.
4:00-4:30: Greenville (SC), Greenville (NC), Columbus, Detroit, Roanoke, Nantucket, Columbia (SC).
4:30-5:00: Atlanta, Chicago, Dayton, Cincinnati, Wilmington (NC), Savannah.

Los Angeles:
-2:30: Las Vegas, Phoenix, Sacramento.
2:30-3:00: San Francisco, Tucson.
(This is where my exclusion of unrealistic corridors has the most effect. HSR could connect Los Angeles with Portland and Denver in 5 hours, Salt Lake City in 3:30, and El Paso and Albuquerque in 4:30. But the population is too sparse for the overlapping short trips that make comparably long corridors in the eastern half of the US semi-reasonable.)

Bay Area:
-2:30: the entire Central Valley.
2:30-3:00: Los Angeles.
3:00-3:30: Palm Springs.
3:30-4:00: —
4:00-4:30: San Diego, Las Vegas (assuming a Grapevine and Cajon alignment, which is the worst assumption; if the connector is between Victorville and Palmdale, as officially planned, then it’s about 4:00, and if it’s between Mojave and Barstow, it’s 3:45).
4:30-5:00: Phoenix.

Chicago:
-2:30: the corridors to Minneapolis, Detroit/Cleveland, Cincinnati, and St. Louis; Grand Rapids, Louisville, Dayton, Green Bay, Columbus.
2:30-3:00: Nashville, Pittsburgh, Buffalo, Kansas City, Toronto.
3:00-3:30: Chattanooga, Rochester.
3:30-4:00: Atlanta, Harrisburg, Syracuse.
4:00-4:30: Ottawa, Philadelphia.
4:30-5:00: Montreal, Albany, New York.

Washington-Baltimore:
-2:30: the Northeast Corridor up to New York, the Southeast Corridor down to Charlotte, Fayetteville, Norfolk, Lynchburg.
2:30-3:00: Boston, Hartford, Albany, Pittsburgh, Greenville (SC), Greenville (NC), Roanoke, Columbia (SC).
3:00-3:30: Atlanta, Wilmington (NC), Burlington, Cleveland, Savannah.
3:30-4:00: Montreal, Syracuse, Toledo.
4:00-4:30: Charleston, Birmingham, Jacksonville, Detroit, Columbus, Rochester, Chattanooga, Asheville, Portland.
4:30-5:00: Dayton, Cincinnati, Buffalo, Daytona, Ottawa. (Orlando is very close and some alignments put it just under 5 hours, but not all do.)

Boston:
-2:30: the Northeast Corridor down to Philadelphia, the Empire Corridor up to Rochester, Burlington, Montreal, Hartford, Portland.
2:30-3:00: Washington, Buffalo, Harrisburg.
3:00-3:30: Toronto, Ottawa, Erie, Atlantic City.
3:30-4:00: Cleveland, Pittsburgh, Richmond.
4:00-4:30: Raleigh, Toledo.
4:30-5:00: Norfolk, Greensboro, Detroit, Columbus, Dayton.