The National Infrastructure Commission (NIC) has issued an interim report on its assessment of rail needs for the Midlands and the North. It sets out a methodology for appraising investment options. The aim is to assess the potential benefits of possible investment packages, focussing on what rail is good at compared to other modes: transporting people into dense city centres and providing high speed links between cities.

The NIC believes that existing approaches to assessing the impact of rail investments on economic growth, such as conventional cost benefit analysis, fail to fully capture the interactions between rail investments and other factors, such as skilled employment and urban development.

Specifically, the NIC notes that conventional cost-benefit analysis in transport starts from ‘user benefits’ such as journey time savings. Wider economic benefits from agglomeration can then be added provided care is taken to avoid double-counting. However, this approach has been criticised for commuter journeys, because assumptions made around time savings do not appear consistent with the empirical evidence on travel times (this is a reference to my longstanding observation of the invariance of average travel time). Instead, the intention is to assess the economic benefits of increased transport capacity that allows more people to travel into city centres, thus increasing the agglomeration benefits that arise from density.

This is a rather radical approach, which runs counter to half a century of conventional transport economic analysis, and which I welcome, as a long time critic of orthodoxy. I look forward to seeing how its works out in practice.

The Secretary of State for Transport has announced £2 billion of investment to boost cycling and walking in response to the Covid pandemic. The Mayor of London has plans that he hopes will increase cycling ten-fold and walking five-fold post-lockdown. These intentions take advantage of current public health constraints on use of public transport and are certainly praiseworthy, but there are serious questions about feasibility.

Increasing cycling in London ten-fold would take its share of trips to that found in Copenhagen, where there are segregated cycling lanes on all roads with significant traffic. Moreover, the city is relatively small, such that you can cycle from the centre to the edge in an hour or so, as I have done but would not attempt in London. However, car use in Copenhagen is only slightly less than in London, while public transport mode share is half that in London. This indicates that you can get people off buses onto bikes, which are cheaper, healthier, better environmentally, and no slower in traffic than public transport. But it seems more difficult to get people out of their cars, even in a city where virtually all motorists have current or past experience of cycling. And a decrease in users of public transport, while helpful while the pandemic lasts, would lead in the longer term to loss of fare revenue and of level of service.

Transport for London (TfL) analysed cycling potential in 2017, considering which trips by motorised modes could reasonably be cycled, mainly taking into account trip length. If achieved in full, cycling would be responsible for 40% of all trips, which would be consistent with the Mayor’s ambition. However, a large proportion of potential cycling trips are currently done with at least one other person, which would limit switching. Beyond that observation, considerations of behaviour change and public acceptability were not taken into account.

Boosting walking five-fold is even more problematic, to say the least, given that its mode share of trips in London has long been stable at 25%. Some modest increase in the near term is likely as people avoid short bus journeys. Perhaps the Mayor has in mind to increase the distance walked per trip, which again is likely to some extent in the near term. Yet walking is the slowest mode of travel and time available for travelling is always a constraint. A TfL analysis of walking potential in 2017 estimated that there are more than two million potentially walking trips in London per day, compared with just under one million at present, but most potential walking trips could also be cycled. So it is very hard to see how a five-fold increase in walking could be achieved, even before we consider behavioural factors, in particular the reasons why so many people prefer to drive rather than walk short journeys.

To see if the Mayor’s ambition is realistic, we need a full analysis from TfL, taking into account behavioural aspects, including travel time constraints, and avoiding double counting. It also needs to show that the cost of new cycling infrastructure to meet objectives is affordable, given the current loss of revenue, and to recognise the implications for public transport of the longer-term loss of fare income.

This blog post also appeared as a letter in Local Transport Today 29 May 2020.

The Covid-19 epidemic has prompted discussion of the implications for travel behaviour once it is over. Will the recent downward trend in trips to work and for shopping accentuate? Might people prefer their cars and bikes to travel on crowded public transport? Will there be a bounce back in leisure air travel? All is speculation at present.

More immediately, we see that the new highly infectious virus has prompted huge and rapid global efforts of technological development: tests for the virus and antibody, and novel vaccines. The epidemic has also stimulated extensive efforts to model the consequences, modelling that is open, transparent and collaborative, and that has proved crucial in informing government decisions, in particular to see how new technologies can lessen the need for social distancing.

There are lessons for the transport sector, for which the main priority must be decarbonisation to achieve the government’s net zero carbon target by 2050. Technological development should be stepped up in the areas of batteries for surface transport, and new propulsion technologies for aviation and marine. Electric charging infrastructure needs to be made generally available to stimulate the purchase of electric vehicles.

The models employed in the transport sector are neither open nor transparent. They are obsolete in that they were developed well before current concerns with carbon emissions and are deficient in predicting observed outcomes. We need a new generation of travel/transport models that are open, transparent, and possibly crowdsourced, to inform decisions on policies for decarbonisation, including how new technology can complement behavioural change.

Transport decarbonisation is the top priority. In contrast, automation is not important. As I argued in my recent book, Driving Change, autonomous vehicles will be difficult to deploy on the existing road network, and the benefits are quite limited. It is for the car industry to develop automated features if it thinks that customers might purchase such vehicles. It is for governments to put in place suitable regulatory regimes. But it should not be a priority for governments to support the development of the technology, which would be a distraction from decarbonisation efforts.

This blog post appeared also as a letter in Local Transport Today 17 April 2020




Transport for London has recently published its latest report on Travel in London. At 279 pages, this latest in an annual series is almost certainly the most detailed account of travel behaviour in any city in the world. All credit to TfL.

Table 2.3 shows trip-based mode share. Private transport (very largely car) was responsible for 48% of trips in 2000, declining to 37% in 2015, but thereafter stabilising. Public transport has been stable at 35-36% of trips since 2012, and walking at 24-25% since 2000. Cycling grew from 1.2% in 2000 to reach 2.5% 2018. So the declining trend of car use has ceased in recent years, but it may resume as new rail capacity is opened, particularly Crossrail (the Elizabeth Line). Nevertheless, the target reduction of private transport to 20% by 2041, a feature of the Mayor’s Transport Strategy, looks difficult to achieve.

Section 9.7 discusses the role of licenced taxis and private hire vehicles (PHVs), a topic of much current interest. Taxis (black cabs) have been in slight decline while PHVs have grown substantially in recent years, largely reflecting the entry of Uber into the market. A survey of PHV users in London found that the two main trip purposes were for a night out and to/from airports, but only 28% of PHV trips were for both outward and return legs. App-based PHV users were attracted by specific features: estimate of fare, time for driver to arrive, knowing details of car booked, and estimate of journey time. 30% of PHV users said they had not needed to buy, replace or own a car, which facilitates a shift from individual car ownership.


While a long-term target for reduction in car use has merit in that it shapes shorter term decisions, no Mayor is likely to hold office for anything like the time to reach the 2041 target date. A shorter-term target would allow performance to be held to account. And while the recent experience of London is that a steady reduction in the share of trips by car is compatible with the economic, cultural and social success of the city, sustaining this in the longer term would depend on substantial investment in the rail system that provides a fast and reliable alternative to buses, cars and taxis on congested roads. The biggest challenge for TfL and the Mayor is to find means of financing this investment.

On 25 November, Transport for London (TfL) announced that it would not grant Uber a new private hire operator’s licence on account of a number of failures, including a change to Uber’s systems that allowed unauthorised drivers to upload their photos to other Uber driver accounts. This allowed them to pick up passengers as though they were the booked driver, which occurred in at least 14,000 trips – putting passenger safety and security at risk.

TfL commissioned an independent assessment of Uber’s ability to prevent incidents of this nature happening again, which led TfL to conclude that it currently does not have confidence that Uber has a robust system for protecting passenger safety, while managing changes to its app.

Uber is appealing to the Court against TfL’s decision, during which time is continues to operate. In effect, the Magistrate will adjudicate.

While the shortcomings of Uber’s system need to be rectified, what is unclear is the magnitude of the detriment to users and how this compares with other taxi businesses. Uber claims that more than 3.5m Londoners regularly use its service, so the proportion of trips with unauthorised drivers may be very small, raising a question as to whether TfL’s refusal of a licence to operate is a proportionate response. Arguably, this is an example of the ‘nanny state’ attempting to protect users from a low probability risk – the alternative being to publicise the infringement and allow users to make up their own minds about the acceptability of the risk that may arise. It would be interesting to know whether use of Uber dipped following the announcement of the driver identity failures.

A recent research study of Uber in London interviewed a range of people involved in ‘ridesourcing’ (i.e. prearranged and on-demand transportation services for compensation in which drivers and passengers connect via digital applications, also known as ‘ridehailing’). Stakeholders generally were unsure about how to deal with ridesourcing services and had no immediate plans for managing such services. There have been no new regulations or guidelines developed for ridesourcing in London, and these services currently operate under the private hire vehicle licensing system which was developed in the 1990s. These regulations are deemed generally to be outdated for ridesourcing, because the way services such as Uber operate is technically not a typical black taxi service – which can be hailed or stopped on the street without prior booking – or a traditional minicab, which requires a pre-booking.

The study quotes ‘a key policymaker in London’: “There are no regulatory changes planned, at the moment…….There comes a time where there is a whole proliferation of services which are completely unmanaged, unregulated, we then have to start thinking what powers we need to actually deal with this. You got to have some control. They are carrying passengers, offering transport for hire, people are paying fares, so it (kind of) fits into that whole public transport network and we really need to have management of that”.

Another London policymaker is quoted: “this is covered within the mayor’s draft transport strategy; however, it doesn’t sort of set clear plan for that specific element. Generally, shared occupancy is a good thing, albeit, it’s still by road transport, and the main thrust of the mayor’s transport strategy is to achieve that 80% sustainable mode share target, which is enormously demanding so everything has to be seen in that context”.

The researchers’ conclusion was that there are no mechanisms currently in place to monitor or assess the impacts of ridesourcing services in London, which results in a genuine lack of knowledge among policymakers and transport authorities on how they approach these services, in terms of regulations, operational guidelines, integration with other modes and future transport systems.

A House of Commons briefing paper published in November 2018 (CBP 2005) summarised the position as regards taxi and private hire vehicle licencing in England. Licencing of London’s black cabs is based on a Statutory Instrument enacted in 1934, and involves TfL setting fares, which may ensure income for taxi drivers, albeit limiting competitiveness with other providers. The government has considered aspects of taxi regulation but does not intend to bring forward substantive proposals for reform.


The current regime for taxi regulation was devised before the advent of app-based services and is therefore no longer fit for purpose. It may inhibit some kinds of innovation, for instance fare flexibility for black cabs to better match supply with demand, while other innovations are not adequately catered for, as seen in the all-or-nothing refusal of Uber’s operating licence for what are arguably small and remediable infringements of a very popular service. Not only is the regulatory regime inadequate; there appears to be a lack of policy thinking in London that would inform regulatory practice.

A review of the regulation of taxi services in the light of current and expected technological innovations would be timely. Aspects that would need to be addressed include the possibility of control of numbers of cabs (not at present the case in London), whether regulation should cover terms of employment of drivers, the relationship to other modes of travel, competition for kerb space for loading and unloading, and the potential conflict of interest for TfL in its roles as both taxi regulator and public transport provider.



The National Infrastructure Commission has published an interesting discussion paper on capturing the value of urban transport investments. The starting point is the recognition that average travel time changes little, which means that travel time savings do not provide a reliable basis for valuing new investment. The Commission proposes an approach that focuses on valuing agglomeration benefits plus consumer benefits as these increase with increasing population density. Agglomeration benefits have for some time been recognised as appropriate for inclusion in cost-benefit analysis, but a direct estimation of density-dependent consumer benefits is novel.

The NIC paper is welcome fresh thinking, although not without raising issues for consideration. A supporting study commissioned from consultants SDG estimates that the utilisation of available theoretical transport capacity to access city centres ranges from 20% (small cities) to approaching 70% in the 0800-0900 peak hour. There is therefore considerable capacity underutilisation in all cities studied. However, London was not considered. It is possible that capacity utilisation in London is substantially higher, reflecting the pressures of population and economic growth. If so, this would suggest that adding to transport capacity in other cities would not be crucial to stimulate economic growth in the near term. It may not be valid to assume that enough latent demand exists that any additional capacity added will be used.

More generally, while transport capacity can act as a constraint on economic growth, justifying investment in expanding cities, other kinds of investment may be more cost-effective in stimulating lagging cities. This might be investment in broadband, for instance, or in improvements other than infrastructure that falls within the NIC’s remit.

The SDG approach focuses on capacity to access city centres and disregards the potential of faster and reliable travel, as offered by light rail or BRT, that would increase the size of travel to work areas. A study of travel in Birmingham, which has only a single light rail line, prompts the hypothesis that by relying on buses that get caught in congestion at peak times for public transport, Birmingham sacrifices significant size and thus agglomeration benefits, compared with cities of a similar size in France which rely on trams and metros.

Nature of benefits

Estimations of agglomeration and amenity/consumer benefits are based on elasticities derived from econometric studies of correlations between inputs and outputs, controlling for confounding variables. Such benefits are not observed directly and this respect they resemble travel time savings, which are based on the output of models, but not observed in practice. Moreover, the confounding variables are not insignificant, given the typical scatter of data points in plots to quantify agglomeration effects, which suggests that there may be many other possible interventions that might be made, other than those focused on travel.

What is observed as the result of transport investment are changes in land use and market value, the subject of a study for the NIC by the Institute for Fiscal Studies. Increases in real estate values reflect increases in agglomeration and amenity. Arguably, such increases in value would be the basis for a more grounded approach to appraising urban transport investment, more aligned to real world investment decisions.

Although the NIC discussion paper is concerned with urban investments, the approach is applicable to transport investments generally.







The Greater Cambridge Partnership (GCP) arranged a Citizens’ Assembly, comprising some 60 representative members of the community, that met over two weekends to consider transport options that would reduce congestion, improve air quality and provide better public transport. The Assembly heard evidence on these issues from experts, both independent and staff of the GCP. I was present throughout as an expert advisor.  There was extensive discussion by small groups at tables, effectively facilitated by staff of Involve, a charity established to promote public participation in decisions. The GCP was at pains to avoid steering Assembly members to a preferred conclusion, which was achieved, in my judgement.

The context is that the GCP agreed a City Deal with the Coalition Government worth £500m over 15 years, aimed at tackling the transport requirements of a growing city. Cambridge has an historic city centre that constraints both property development and transport provision, so that new businesses, many spun out of university research, are located around the periphery. Travel across the city between homes and employment is impeded by the narrow street network. Cambridge has an effective dedicated north-south busway along a previous rail route, and further such routes are planned. But the problem of the congested centre remains.

The second weekend of the Assembly focused on practical measures, leading to voting on preferred options, the results of which have been published. There was strong support for closing roads to cars, to allow faster and more reliable buses and to encourage walking and cycling, as well as to reduce air pollution. There was also good support for road user charging, to raise funds to invest in public transport and active travel. There was less support for measures to limit or charge for parking, and relatively little preference for no interventions.

The Assembly also voted on a wide range of supporting measures. The most popular was to put in place a franchised bus service under the Mayor, like that operated in London, in place of the present privately operated buses.


The conclusions of the Assembly were a sensible response to the travel problems experienced in Cambridge and the surrounding area – a policy package comprising revenue generated from motorists to support investment in public transport and active travel, plus more road space for these purposes. The GCP is likley to find it difficult to reject this outcome, not least because the funding from the Government comes in tranches that have to be justified by showing progress towards tackling the problems for which the funding was promised.

More generally, this experience indicates that a Citizens’ Assembly may be a more effective means of carrying forward policy in problematic areas, particularly where conventional consultation exercises are likely to stimulate more negative responses from those who believe they would be adversely affected while those who may benefit tend to stay silent.

The Financial Times’ Alphaville blog has noted that Uber London Ltd’s accounts filed at Companies House refer to discussions with HM Revenue and Customs about a potential liability for VAT at 20% on either gross bookings or the service fee that Uber charges drivers. This liability may depend on the outcome of a case that Uber is appealing to the Supreme Court to determine whether drivers are self-employed or are ‘workers’ with employment rights. The threshold for VAT liability is £81k a year, so individual drivers are unlikely to be liable. But if Uber is deemed to be an employer, the company would be liable, with potential backdating.

The VAT threshold means that there is not a level playing field for taxi type services. Self-employed drivers, such as the owner-driver of a London black cab, would be at an advantage over a ride-haling company that employed many drivers.

This piece was a guest blog in the newsletter of the Transport Knowledge Hub, a free resource aimed at providing local-decision makers with tools and information to make transport investment decisions which facilitate inclusive and sustainable economic growth.

In my new book, Driving Change: Travel in the Twenty-First Century, I assess the likely impact on travel behaviour of new transport technologies, in particular electric vehicles, digital platforms, digital navigation and autonomous vehicles.

Electric vehicles eliminate tailpipe emissions and so help improve urban air quality and mitigate global warming. Yet a change of propulsion does not change the basic characteristics of cars or buses.

Digital platforms help match supply and demand and have made possible online shopping, which has contributed to reduced numbers of shopping trips. Digital platform apps on mobile phones, exemplified by Uber, facilitate finding a ride-hailing taxi or a rental bike and are understandably very popular. They may tempt people away from buses, but they can also complement regular public transport by meeting the need for ‘last mile’ travel. When the Night Tube opened in London, the pattern of late-night Uber trips changed, from centre-to-home to suburban-station-to-home.

Digital platforms permit vehicle sharing by people travelling in the same direction. Some commentators see this as the answer to road traffic congestion, in that higher occupancy would allow travel demand to be met by fewer vehicles. However, congestion arises in locations where both population density are car ownership are high, so that there are more trips that might be made by car than the capacity of the road network permits. Some potential drivers are deterred by the prospect of unacceptable delays and make other choices – a different time, mode or destination of travel, or not to travel at all. Congestion is therefore generally self-limiting, in that if traffic builds up, delays increase and more road users are deterred. Conversely, measures to reduce traffic tend to have little impact on congestion because the initial reduction in delays then releases previously suppressed trips. So increased vehicle occupancy is unlikely to make much impact on congestion.

Digital navigation devices, such as Google Maps or Waze, offer optimum routing that takes account of congestion. They also predict journey times in advance, which is the best means we have to mitigate the impact of congestion, given that what bothers people most is the uncertainty of how long a trip will take in congested traffic.

Autonomous vehicles – driverless cars – are attracting enormous interest and investment, both by established auto industry businesses and new entrant tech companies. As yet, there is only very limited evidence of impact from pilot trials and simulation studies.

The main historic transport innovations have allowed faster travel and so a step change in access to desired destinations and services – the railway in the nineteenth century, the car in the twentieth, the modern bicycle in its heyday before the mass market car, and motorised two-wheelers today in low-income countries. Similarly, a series of electronic and digital innovations have permitted a step change in virtual access to people and services – the telegraph, telephone, radio, television, internet, broadband, smart phone, social media. All these innovations have stimulated huge investment, rewarded by the returns from increased access.

In contrast, the new transport technologies seem unlikely to lead to any significant increase in speed of travel. They will therefore not be transformational. Rather, they offer incremental improvement to the quality of journeys and possibly some cost reduction.

Public transport is benefiting from digital technologies for travel information and payment. On the railway, digitised signalling and train control permits shorter headways and hence increase capacity of existing track. For buses, the main constraint is the difficulty of creating segregated routes in dense urban spaces. Nevertheless, there are opportunities for public authorities to encourage technological innovation that aligns with their strategic objectives for movement and place making.







A noteworthy report from bank BNP Paribas, summarised in the Financial Times, compares the energy return on a $100bn outlay on oil and renewables where the energy is being used specifically to power electric vehicles. The  analysis indicates that new wind and solar-energy projects in tandem with battery EVs will produce 6x-7x more useful energy at the wheels than will oil at $60/bbl for gasoline-powered cars and vans, and 3x-4x more than will oil at $60/bbl for those running on diesel. The conclusion is that oil cannot compete with renewables when viewed over the investment cycle unless oil prices are below $20/bbl, which would make oil investment unattractive. This is before taking credit for eliminating tailpipe emissions of carbon and noxious pollutants.

The report’s conclusion is striking – the death toll for petrol. With 36% of demand for crude oil today accounted for by cars/vans and other vehicle categories susceptible to electrification, the oil industry has never before in its history faced the kind of threat that renewable electricity in tandem with EVs poses to its business model: a competing energy source that (i) has a short-run marginal cost of zero, (ii) is much cleaner environmentally, (iii) is much easier to transport, and (iv) could readily replace up to 40% of global oil demand if it had the necessary scale. The conclusion is that the economics of oil for gasoline and diesel vehicles versus wind- and solar-powered EVs are now in relentless and irreversible decline, with far-reaching implications for both policymakers and the oil majors.

In the short run, however, the huge existing investment in oil supply makes this source competitive with renewables/EVs that require substantial infrastructure investment to bring forward new supply.