Staycation Surge or Back to Business as Usual?

As the summer winds down, I can’t wait to learn what September will bring in terms of transport use.

The lack of traffic, and therefore air and noise pollution back in late March through most of May was an incredible silver lining of lockdown. It meant that during the sunniest spring on record, we were lucky enough to be able to enjoy clean air and quiet on daily family walks and cycle rides either along every street, cul-de-sac and cut-through within a 2-mile radius, or through the woods that permeate and separate the towns and villages that make up our corner of the Home Counties.

Yet over the summer, traffic has returned, until, according to Department for Transport statistics, vehicle levels are almost ‘back to normal’ compared to an equivalent day in the first week of February 2020. However, are these trips for the same purposes as they were in February? Do they represent the window of opportunity closing for long-term travel behaviour change to be captured from the short-term, mass disruption?

Anecdotal, survey and big data sources all indicate that there remains a substantial proportion (20-30%) of the population who continue to stay at home, so it is hard to believe that the rise in traffic is solely due to people returning to work as encouraged by Government. Even if some commuters have switched modes from public transport to car (due to unhelpful messaging around the risk of infection on buses and trains compared to other risks, e.g. of road accidents), the rise in unemployment and ongoing telecommuting makes it unlikely that commuters are responsible for the return of pre-pandemic traffic.

Furthermore, in transport modelling, you would never compare August to February anyway. August is not an average month. It is prime holiday season, particularly, though not solely, for families with school-age children and those who work in education. Thus, traffic levels, especially in the morning and evening peaks, are usually less in August than in February. It may be that there is actually MORE traffic this August than during an equivalent day in August 2019.

I don’t know have the data to say for sure, but call it an educated guess. Holidays are usually much more spread out in time and space than they are this year. Most spring holidays were cancelled, but employers are not changing their annual leave roll-over policies. Going abroad is an incredibly risky business with constantly changing quarantine rules. And alongside staycation tourism, people are also catching up on visiting friends and relatives around the country who they may not have seen for months.

People may even be taking more leisure and social journeys in order to use up mileage on leasing contracts. There is some evidence that concerns about the ability to take occasional long-distance leisure trips unduly influence perceptions of the practicality of electric vehicle adoption and range anxiety.  So are such concerns any less likely to influence decisions on mileage allocations in leasing contracts?

The point is that traffic levels are never a product only of commuting trips, the school run, and other ‘necessary’ and ‘essential’ travel, which tends to happen locally. Leisure trips often have outsized impact and involve longer distances. Thus, my hypothesis is that the current high levels of traffic are not a reflection of life returning to pre-pandemic patterns, but rather a staycation surge. Any evidence to support this hypothesis is welcome, but the real question for transport planners wondering if the time to lock-in local, active travel patterns has passed, is: What will happen in September?

Translating Trends from the National Travel Survey (UK)

Britain’s National Travel Survey (NTS) has been analysed in depth to show a decline in car trips and mileage, both per head and in absolute terms. Despite job growth, commuter trips are down, again resulting in a reduction of vehicle mileage. The youngest cohorts are applying for drivers’ licences and becoming car owners later and in lower numbers than the previous generations. So can we declare a major victory for transport demand management – battles still to be won, but a turning point reached?
However, it’s not all good news. Other studies of the data from the NTS show less multi-modality, that the fewer trips for purposes like shopping, errands, and visiting friends are mainly due to a reduction in short distance trips, and that the reduction in trips may also indicate underemployment and less human interaction. So are the trends an indication of good or bad things to come in terms of transport demand management, resilience, and healthy, sustainable lifestyles?
The NTS may not be able to tell us. Every year, a large, clustered, random sample of households, and the individuals within them are surveyed, including an extensive interview on their travel behaviour and a seven-day travel diary, to record trip purposes, distances, travel times, and modes. There are a few questions about internet access, including frequency of working from home and online shopping, but the catalogue of online activities is general and incomplete. There is also only one day of data collected on short walks, defined as those under 1 mile. Finally, although the sample is determined by geography, there is little geographical context in terms of land uses, public realm, or environmental quality.
Naturally, the potential for trends to result in a more sustainable and better quality of life is very much dependent upon all types of accessibility, including online or within a mile of one’s home. And understanding the geographic characteristics of neighborhoods, such as population density, pollution, mix of uses and services available, to name a few, is essential if planners, policy-makers, and other professionals want to make more places that will encourage healthy, sustainable travel and lifestyles. Still, the NTS data does offer perspectives of the potential trends might have if some of these other aspects are in place.
For example, my research shows that rail commuting and telecommuting are growing (whilst car and bus commuting are falling), and that those who say they regularly telecommute (at least once a week) are also more likely than other groups to say their regular commute mode is rail. They are more likely to record more short walk trips per person than the general population, and most of these trips are for purposes other than commuting. Finally, they take only slightly fewer trips (by all modes) per person than those who do not regularly telecommute, but more of those trips are for business, escort trips, or errands, and to participate in sport or recreational activities.

To put these trends together, more people have the opportunity to work from home more regularly using ICT than ever before, and more of them also take trains and walk in their local neighbourhood than the general population. Such people also make a similar number of journeys, but for non-commuting purposes. Thus, telecommuting needs to be encouraged (or telecommuters encouraged to live) in mixed-use neighbourhoods with plenty of activities and services locally so that online work access can be balanced with healthy, sustainable pedestrian access to as many other activities and services as possible. The NTS sample sizes and information about local land uses might not be sufficient to determine if this is already happening, but there is definitely enough data to say that, with vision and planning, it can.

Some references of studies using the NTS (there are also a few academic articles if interested!):
Chatterjee K, Goodwin, P, Schwanen, T, Clark, B, Jain, J, Melia, S, Middleton, J, Plyushteva, A, Ricci, M, Santos, G, Stokes, G. (2018) Young People’s Travel – What’s Changed and Why? Review and Analysis. Report to Department for Transport. UWE Bristol, UK. https://www.gov.uk/government/publications/young-peoples-travel-whats-changed-and-why.
Headicar P, Stokes, G. (2016) On the Move 2: Making sense of travel trends in England 1995-2014: Technical Report. Independent Transport Commission. http://www.theitc.org.uk/wp-content/uploads/2016/11/OTM2-Technical-Report-FINAL.pdf.
Le Vine S, Polak, J, Humphrey, A. (2017) Commuting Trends in England 1988-2015. Department for Transport. https://www.gov.uk/government/publications/commuting-trends-in-england-1988-to-2015.
Marsden G, Dales, J, Jones, P, Seagriff, E, Spurling, N. (2018) All Change? The future of travel demand and the implications for policy and planning. The First Report of the Commission on Travel Demand. http://www.demand.ac.uk/wp-content/uploads/2018/04/FutureTravel_report_final.pdf.
Stillwell D, Cummings, J, Slocombe, M. (eds). (2018) Analyses from the National Travel Survey: Statistical Release. Department for Transport. https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/674568/analysis-from-the-national-travel-survey.pdf.
Stillwell D, Kelly, A, Slocombe, M. (eds). (2019) Analyses from the National Travel Survey: Statistical Release. Department for Transport. https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/775032/2019-nts-commissioned-analyses.pdf.