Measuring full cost accessibility by auto

Mengying Cui, David Levinson

Abstract


Traditionally accessibility has been analyzed from the perspective of the mean or expected travel time, which fails to capture the full cost, especially the external cost, of travel. The full cost accessibility (FCA) framework, proposed by Cui and Levinson (2018), provides a theoretical basis to fill the gap. It combines temporal, monetary, and non-monetary internal and external travel costs into accessibility evaluations, considering the time cost, crash cost, emission cost, and monetary cost. This paper extends the FCA framework and measures the full cost accessibility by auto for the Minneapolis - St. Paul Metropolitan area, demonstrating the practicality of the FCA framework on real networks.

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References


American Automobile Association (2015), ‘Annual cost to own and operate a vehicle’. URL: http://newsroom.aaa.com/2015/04/annual-cost-operate-vehicle-falls-8698-finds-aaa- archive/

Barnes, G. and Langworthy, P. (2004), ‘Per mile costs of operating automobiles and trucks’, Transportation Research Record: Journal of the Transportation Research Board (1864), 71–77.

Blincoe, L., Miller, T. R., Zaloshnja, E. and Lawrence, B. A. (2015), The economic and so- cietal impact of motor vehicle crashes, 2010 (revised), Technical report, US Department of Transportation, National Highway Traffic Safety Administration.

Cervero, R. et al. (1997), ‘Paradigm shift: From automobility to accessibility planning’, Urban Futures (Canberra) (22), 9.

Cheng, J. and Bertolini, L. (2013), ‘Measuring urban job accessibility with distance decay, competition and diversity’, Journal of Transport Geography .

Cui, M. (2018), Full Cost Accessibility, PhD Dissertation, University of Minnesota.

Cui, M. and Levinson, D. (2018), ‘Full cost accessibility’, The Journal of Transport and Land Use 11, 1–19.

Cui, M. and Levinson, D. (2019), ‘Link-based full cost analysis of travel’, Transportation Research Board Annual Meeting .

El-Geneidy, A., Levinson, D., Diab, E., Boisjoly, G., Verbich, D. and Loong, C. (2016), ‘The cost of equity: Assessing transit accessibility and social disparity using total travel cost’, Transportation Research Part A: Policy and Practice 91, 302–316.

El-Geneidy, A. M. and Levinson, D. M. (2006), Access to destinations: Development of accessibility measures, Technical report, Minnesota Department of Transportation Research Services Section.

Geurs, K. T. and Van Wee, B. (2004), ‘Accessibility evaluation of land-use and transport strategies: review and research directions’, Journal of Transport geography 12(2), 127–140.

Hansen, W. G. (1959), ‘How accessibility shapes land use’, Journal of the American Institute of Planners 25(2), 73–76.

Hau, T. D. (2005), ‘Economic fundamentals of road pricing: a diagrammatic analysis, part i—fundamentals’, Transportmetrica 1(2), 81–117.

IHS Automotive (2014), ‘Average age of vehicles on the road remains steady at 11.4 years’. URL: http://news.ihsmarkit.com/press-release/automotive/average-age-vehicles-road-remains- steady-114-years-according-ihs-automotive

Levine, J., Merlin, L. and Grengs, J. (2017), ‘Project-level accessibility analysis for land-use planning’, Transport Policy 53, 107–119.

Levinson, D. (1998), ‘Accessibility and the journey to work’, Journal of Transport Geography 6(1), 11–21.

Martellato, D. and Nijkamp, P. (1998), The concept of accessibility revisited, Accessibility, Trade and Locational Behaviour, Ashgate, Brookfield.

McGarity, T. O. (2012), Final regulatory impact analysis: Corporate average fuel economy for MY 2017-MY 2025 passenger cars and light trucks, Technical report, US Department of Transportation,National Highway Traffic Safety Administration.

Minnesota Department of Transportation (2015), ‘Benefit-cost analysis for transportation projects’. URL: http://www.dot.state.mn.us/planning/program/benefitcost.html

Owen, A. and Levinson, D. (2012), ‘Access to destinations: Annual accessibility measure for the Twin Cities Metropolitan Region’.

Pa ́ez, A., Scott, D. M. and Morency, C. (2012), ‘Measuring accessibility: positive and nor- mative implementations of various accessibility indicators’, Journal of Transport Geogra- phy 25, 141–153.

TomTom International BV (2013), Speed profiles, Technical report.

US Department of Labor, Bureau of Labor Statistics (2015), ‘Consumer expenditure survey (CE Tables)’. URL: https://www.bls.gov/cex/tables.htm

US Energy Information Administration (2018), ‘Weekly retail gasoline and diesel prices’. URL: https://www.eia.gov/dnav/pet/PET_PRI_GND_DCUS_SMN_A.htm

Vickerman, R. W. (1974), ‘Accessibility, attraction, and potential: A review of some concepts and their use in determining mobility’, Environment and Planning A 6(6), 675–691.

Wachs, M. and Kumagai, T. G. (1973), ‘Physical accessibility as a social indicator’, Socio-Economic Planning Sciences 7(5), 437–456.




DOI: http://dx.doi.org/10.5198/jtlu.2019.1495


Copyright (c) 2019 Mengying Cui, David Levinson

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