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Travel Time and Sustainable Travel Behaviour. David Metz Centre for Transport Studies University College London. National Travel Survey. 7-day travel diaries recording personal travel Annual sample of 20,000 Since 1972 Longest time series; high quality Excludes international air travel
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Travel Time and Sustainable Travel Behaviour David Metz Centre for Transport Studies University College London
National Travel Survey • 7-day travel diaries recording personal travel • Annual sample of 20,000 • Since 1972 • Longest time series; high quality • Excludes international air travel • Measures ‘daily travel’
Travel time: an hour a day Journeys: 1000 a year Journey purposes: unchanged Spend: 16% of household spend Incomes: double over 30 years Technology: incremental improvement + decarbonisation Car ownership increase? Distance travelled? Business-as-usual scenario
Delays for slowest 10% of journeys on Strategic Road Network
Hypothesis: daily travel demand has saturated • Access and choice increase with square of speed • Value of additional choice characterised by diminishing marginal utility • Prediction: sufficient choice experienced through mobility
FIGURE 3.9Proportion of the UK urban population with a choice of one, two, three or fourgrocery stores each with a different fascia and larger than 1,400 sq metres Source: CACI Limited analysis of parties’ data submissions – from Competition Commission: The supply of groceries in the UK market investigation report, May 2008.
Choice of schools and hospitals • Over 80% of pupils have at least 3 secondary schools within 5km of home • Secondary schools have 6 others within 10min drive time • 40% of population have up to 2 hospitals within 15min drive time; 90% within 60min
Business-as-usual scenario (2) • Stable behaviour in aggregate: • 7100 miles • 1000 trips • 380 hours a year on average • But road traffic continues to grow….
Growth 1996-2006 • Distance pppy (NTS) 0.2% pa • Vehicle km 1.3% • Cars 2.6% • Population 0.4% • Traffic growth due mainly to increase in car ownership • Distance per incremental car = ½ average
Sustainable travel • Stable personal travel – travel demand saturated. • Some car ownership increase by ‘late adopters’, as car use approaches saturation. Some mode switch to cars. • Decarbonise transport system. • Manage congestion.
Transport policy and operations • Interventions which have the effect of increasing speed lead to increased access • Interventions which have the effect of reducing speed tend to reduce access and choice • ‘Smart choices’ tend to involve speed reduction • Decarbonisation will need to rely mainly on technology
Managing congestion • Can’t build our way out of congestion • Road pricing redistributes road space in favour of those who can afford to pay • Improved access for payers (induced traffic) • Reduced access and choice for non-payers • Likely to be unpopular • Main problem is journey time uncertainty
Conventional transport economics • Main benefit is ‘travel time saving’ • Underestimates ‘induced traffic’…. • ….and carbon, accidents and other detriments • Travel a ‘derived demand’ • Agglomeration benefits • Modelling assumes minimisation of ‘generalised costs’ • Neglects behavioural economics
References • The Myth of Travel Time Saving, Transport Reviews 28(3),321-336, 2008 • Responses to ‘Myth’ in November issue • The Limits to Travel, Earthscan, 2008 • www.limitstotravel.org.uk • National road pricing: a critique and an alternative, Proc Inst Civil Eng: Transport 161(TR3), 167-174, 2008 • Sustainable Travel Behaviour, UTSG January 2009 • Papers from david.metz@transport.ucl.ac.uk