Fuel price changes and their impacts on urban transport – a literature review using bibliometric and content analysis techniques, 1972–2017

References

• An, F., Gordon, D., He, H., Kodjak, D., & Rutherford, D. (2007). Passenger vehicle greenhouse Gas and fuel economy standards: A global update. Washington, DC, USA: The International Council on Clean Transportation.
   Google Scholar
• Bastian, A., Börjesson, M., & Eliasson, J. (2016). Explaining “peak car” with economic variables. Transportation Research Part A: Policy and Practice, 88, 236–250. doi: 10.1016/j.tra.2016.04.005
   Web of Science ®Google Scholar
• Bergman, N., Schwanen, T., & Sovacool, B. K. (2017). Imagined people, behaviour and future mobility: Insights from visions of electric vehicles and car clubs in the United Kingdom. Transport Policy, 59, 165–173. doi: 10.1016/j.tranpol.2017.07.016
   Web of Science ®Google Scholar
• Berry, A., Jouffe, Y., Coulombel, N., & Guivarch, C. (2016). Investigating fuel poverty in the transport sector: Toward a composite indicator of vulnerability. Energy Research & Social Science, 18, 7–20. doi: 10.1016/j.erss.2016.02.001
   Web of Science ®Google Scholar
• Bonilla, D. (2009). Fuel demand on UK roads and dieselisation of fuel economy. Energy Policy, 37(10), 3769–3778. doi: 10.1016/j.enpol.2009.07.016
   Web of Science ®Google Scholar
• Boussauw, K., Neutens, T., & Witlox, F. (2012). Relationship between spatial proximity and travel-to-work distance: The effect of the compact city. Regional Studies, 46(6), 687–706. doi: 10.1080/00343404.2010.522986
   Web of Science ®Google Scholar
• Buehler, R. (2011). Determinants of transport mode choice: A comparison of Germany and the USA. Journal of Transport Geography, 19(4), 644–657. doi: 10.1016/j.jtrangeo.2010.07.005
   Web of Science ®Google Scholar
• Burke, P. J., Batsuuri, T., & Yudhistira, M. H. (2017). Easing the traffic: The effects of Indonesia’s fuel subsidy reforms on toll-road travel. Transportation Research Part A: Policy and Practice, 105, 167–180. doi: 10.1016/j.tra.2017.08.003
   Web of Science ®Google Scholar
• Cao, M., & Hickman, R. (2018). Car dependence and housing affordability: An emerging social deprivation issue in London? Urban Studies, 55, 2088–2105. doi: 10.1177/0042098017712682
   Web of Science ®Google Scholar
• Cetin, T., & Deakin, E. (2017). Regulation of taxis and the rise of ridesharing. Transport Policy, doi: 10.1016/j.tranpol.2017.09.002
   Web of Science ®Google Scholar
• Cohen-Blankshtain, G., & Rotem-Mindali, O. (2016). Key research themes on ICT and sustainable urban mobility. International Journal of Sustainable Transportation, 10(1), 9–17. doi: 10.1080/15568318.2013.820994
   Web of Science ®Google Scholar
• Colgan, J. D. (2014). Oil, domestic politics, and international conflict. Energy Research & Social Science, 1, 198–205. doi: 10.1016/j.erss.2014.03.005
   Google Scholar
• Coventry, D. H. (2011). Peak oil and significant change for rural Australia. Rural Society, 20(3), 235–243. doi: 10.5172/rsj.20.3.235
   Google Scholar
• Cui, J., Dodson, J., & Hall, P. V. (2015). Planning for urban freight transport: An overview. Transport Reviews, 35(5), 583–598. doi: 10.1080/01441647.2015.1038666
   Web of Science ®Google Scholar
• Currie, G., & Delbosc, A. (2011). Transport disadvantage: A review. In G. Currie (Ed.), New perspectives and methods in transport and social exclusion research (pp. 15–25). Emerald Group Publishing Limited. doi: 10.1108/9781780522012
   Google Scholar
• Czako, J. A. (2015, February). Mobility pricing in road transport paradigm shift to improve congestion, environment, road safety, and financing. Presented at the 2nd Annual ASECAP Marketing Workshop, Paris, France.
   Google Scholar
• Denmark, D. (1998). The outsiders: Planning and transport disadvantage. Journal of Planning Education and Research, 17(3), 231–245. doi: 10.1177/0739456X9801700304
   Web of Science ®Google Scholar
• Di Ciommo, F., & Shiftan, Y. (2017). Transport equity analysis. Transport Reviews, 37(2), 139–151. doi: 10.1080/01441647.2017.1278647
   Web of Science ®Google Scholar
• Dodson, J., & Sipe, N. (2007). Oil vulnerability in the Australian city: Assessing socioeconomic risks from higher urban fuel prices. Urban Studies, 44(1), 37–62. doi: 10.1080/00420980601023810
   Web of Science ®Google Scholar
• Duncan, D., Nadella, V., Giroux, S., Bowers, A., & Graham, J. D. (2017). The road mileage user-fee: Level, intensity, and predictors of public support. Transport Policy, 53, 70–78. doi: 10.1016/j.tranpol.2016.09.002
   Web of Science ®Google Scholar
• Ewing, R., Hamidi, S., Tian, G., Proffitt, D., Tonin, S., & Fregolent, L. (2018). Testing Newman and Kenworthy’s theory of density and automobile dependence. Journal of Planning Education and Research, 38(2), 167–182. doi: 10.1177/0739456X16688767
   Web of Science ®Google Scholar
• Ferreira, A., Bertolini, L., & Næss, P. (2017). Immotility as resilience? A key consideration for transport policy and research. Applied Mobilities, 2(1), 16–31. doi: 10.1080/23800127.2017.1283121
   Google Scholar
• Figueroa, M., Lah, O., Fulton, L. M., McKinnon, A., & Tiwari, G. (2014). Energy for transport. Annual Review of Environment and Resources, 39(1), 295–325. doi: 10.1146/annurev-environ-031913-100450
   Web of Science ®Google Scholar
• Fofana, I. (2015). Gender analysis of the policy responses to high Oil prices: A case study of South Africa. Feminist Economics, 21(3), 216–240. doi: 10.1080/13545701.2015.1023330
   Web of Science ®Google Scholar
• Fuller, B., & Romer, P. (2014). Urbanization as opportunity. Washington, DC, USA: The World Bank Sustainable Development Network.
   Google Scholar
• Gao, Y., & Newman, P. (2018). Beijing’s peak Car transition: Hope for emerging cities in the 1.5 °C agenda. Urban Planning, 3(2), 82. doi: 10.17645/up.v3i2.1246
   Web of Science ®Google Scholar
• Gilbert, G., & Dajani, J. S. (1974). Energy, urban form and transportation policy. Transportation Research, 8(4–5), 267–276. https://doi.org/10.1016/0041-1647(74)90046-X
   Google Scholar
• Gilbert, R., & Perl, A. (2012). Transport revolutions: Moving people and freight without Oil (2nd ed.). London: Earthscan.
   Google Scholar
• Gillingham, K. (2014). Identifying the elasticity of driving: Evidence from a gasoline price shock in California. Regional Science and Urban Economics, 47, 13–24. doi: 10.1016/j.regsciurbeco.2013.08.004
   Web of Science ®Google Scholar
• Giuliano, G., & Narayan, D. (2003). Another look at travel patterns and urban form: The US and Great Britain. Urban Studies, 40(11), 2295–2312. doi: 10.1080/0042098032000123303
   Web of Science ®Google Scholar
• Givoni, M., & Perl, A. (2017). Rethinking transport infrastructure planning to extend Its value over time. Journal of Planning Education and Research, 23, 0739456X1774119. doi: 10.1177/0739456X17741196
   Google Scholar
• Goodwin, P., Dargay, J., & Hanly, M. (2004). Elasticities of road traffic and fuel consumption with respect to price and income: A review. Transport Reviews, 24(3), 275–292. doi: 10.1080/0144164042000181725
   Web of Science ®Google Scholar
• Hamilton, J. D. (2013). History of Oil shocks. In R. E. Parker, & R. Whaples (Eds.), Routledge handbook of major events in economic history (pp. 239–266). London, New York: Routledge.
   Google Scholar
• Hickman, R., & Banister, D. (2014). Transport, climate change and the city. London, New York: Routledge, Taylor & Francis Group.
   Google Scholar
• Hine, J., & Mitchell, F. (2001). Better for everyone? Travel experiences and transport exclusion. Urban Studies, 38(2), 319–332. doi: 10.1080/00420980020018619
   Web of Science ®Google Scholar
• Hwang, J. J. (2010). Sustainable transport strategy for promoting zero-emission electric scooters in Taiwan. Renewable and Sustainable Energy Reviews, 14(5), 1390–1399. doi: 10.1016/j.rser.2010.01.014
   Web of Science ®Google Scholar
• Jeekel, H. (2014). Social exclusion, vulnerable groups and driving forces: Towards a social research based policy on car mobility. Case Studies on Transport Policy, 2(2), 96–106. doi: 10.1016/j.cstp.2014.06.005
   Google Scholar
• Johansson, O., & Schipper, L. (1997). Measuring the long-run fuel demand of cars: Separate estimations of vehicle stock, mean fuel intensity, and mean annual driving distance. Journal of Transport Economics and Policy, 31(3), 277–292.
   Web of Science ®Google Scholar
• Karathodorou, N., Graham, D. J., & Noland, R. B. (2010). Estimating the effect of urban density on fuel demand. Energy Economics, 32(1), 86–92. doi: 10.1016/j.eneco.2009.05.005
   Web of Science ®Google Scholar
• Kaufman, B. (2017). Exploration of new methods in long distance transportation data collection and tourism travel in Vermont. Burlington, VT, USA: University of Vermont. Vol. Graduate College Dissertations and Theses. 809. https://scholarworks.uvm.edu/graddis/809/
   Google Scholar
• Kenworthy, J. R., Laube, F. B., Newman, P., & Barter, P. A. (1999). An international sourcebook of automobile dependence in cities 1960–1990. Boulder: University Press of Colorado.
   Google Scholar
• Kerschner, C., Prell, C., Feng, K., & Hubacek, K. (2013). Economic vulnerability to Peak Oil. Global Environmental Change, 23(6), 1424–1433. doi: 10.1016/j.gloenvcha.2013.08.015
   Web of Science ®Google Scholar
• Khan, M. I. (2017). Falling oil prices: Causes, consequences and policy implications. Journal of Petroleum Science and Engineering, 149, 409–427. doi: 10.1016/j.petrol.2016.10.048
   Web of Science ®Google Scholar
• Khayesi, M., & Amekudzi, A. A. (2011). Kingdon’s multiple streams model and automobile dependence reversal path: The case of Curitiba, Brazil. Journal of Transport Geography, 19(6), 1547–1552. doi: 10.1016/j.jtrangeo.2011.06.012
   Web of Science ®Google Scholar
• Klein, N. J., & Smart, M. J. (2017). Millennials and car ownership: Less money, fewer cars. Transport Policy, 53, 20–29. doi: 10.1016/j.tranpol.2016.08.010
   Web of Science ®Google Scholar
• Lane, B. W. (2010). The relationship between recent gasoline price fluctuations and transit ridership in major US cities. Journal of Transport Geography, 18(2), 214–225. doi: 10.1016/j.jtrangeo.2009.04.002
   Web of Science ®Google Scholar
• Leung, A., Burke, M., Perl, A., & Cui, J. (2018). The peak oil and oil vulnerability discourse in urban transport policy: A comparative discourse analysis of Hong Kong and Brisbane. Transport Policy, 65, 5–18. doi: 10.1016/j.tranpol.2017.03.023
   Web of Science ®Google Scholar
• Li, T., Dodson, J., & Sipe, N. (2015). Exploring social and spatial patterns in private vehicle fuel efficiency: A case study of Brisbane and Sydney, Australia. Australian Geographer, 46(2), 217–233. doi: 10.1080/00049182.2015.1020994
   Web of Science ®Google Scholar
• Li, T., Sipe, N., & Dodson, J. (2013). Investigating private motorised travel and vehicle fleet efficiency: Using new data and methods to reveal socio-spatial patterns in Brisbane, Australia. Geographical Research, 51(3), 269–278. doi: 10.1111/1745-5871.12001
   Web of Science ®Google Scholar
• Litman, T. (2018). Evaluating transportation equity. Victoria, BC: Victoria Transport Policy Institute.
   Google Scholar
• Lucas, K., Mattioli, G., Verlinghieri, E., & Guzman, A. (2016). Transport poverty and its adverse social consequences. In T. Telford (Ed.), Proceedings of the institution of civil engineers - transport. ICE Publishing.
   Google Scholar
• Lyons, G., & Chatterjee, K. (Eds.). (2002). Transport lessons from the fuel tax protests of 2000. Hampshire, UK ; Burlington, VT: Ashgate.
   Google Scholar
• Martens, K. (2012). Justice in transport as justice in accessibility: Applying Walzer’s ‘spheres of justice’ to the transport sector. Transportation, 39(6), 1035–1053. doi: 10.1007/s11116-012-9388-7
   Web of Science ®Google Scholar
• Mattioli, G., Anable, J., & Vrotsou, K. (2016). Car dependent practices: Findings from a sequence pattern mining study of UK time use data. Transportation Research Part A: Policy and Practice, 89, 56–72. doi: 10.1016/j.tra.2016.04.010
   Web of Science ®Google Scholar
• Mattioli, G., Lucas, K., & Marsden, G. (2017). Transport poverty and fuel poverty in the UK: From analogy to comparison. Transport Policy, 59, 93–105. doi: 10.1016/j.tranpol.2017.07.007
   Web of Science ®Google Scholar
• Mattioli, G., Wadud, Z., & Lucas, K. (2018). Vulnerability to fuel price increases in the UK: A household level analysis. Transportation Research Part A: Policy and Practice, 113, 227–242. doi: 10.1016/j.tra.2018.04.002
   Web of Science ®Google Scholar
• Mazur, A., & Rosa, E. (1974). Energy and life-style. Science, 186(4164), 607–610. doi: 10.1126/science.186.4164.607
   PubMed Web of Science ®Google Scholar
• Mees, P. (2009). Density delusion? Urban form and sustainable transport in Australian, Canadian and US cities. World Transport Policy and Practice, 15(2), 29–42.
   Google Scholar
• Metz, D. (2010). Saturation of demand for daily travel. Transport Reviews, 30(5), 659–674. doi: 10.1080/01441640903556361
   Web of Science ®Google Scholar
• Metz, D. (2013). Peak Car and beyond: The fourth era of travel. Transport Reviews, 33(3), 255–270. doi: 10.1080/01441647.2013.800615
   Web of Science ®Google Scholar
• Milan, B. F., & Creutzig, F. (2016). Municipal policies accelerated urban sprawl and public debts in Spain. Land Use Policy, 54, 103–115. doi: 10.1016/j.landusepol.2016.01.009
   Web of Science ®Google Scholar
• Millard-Ball, A., & Schipper, L. (2011). Are we reaching peak travel? Trends in passenger transport in eight industrialized countries. Transport Reviews, 31(3), 357–378. doi: 10.1080/01441647.2010.518291
   Web of Science ®Google Scholar
• Mindali, O., Raveh, A., & Salomon, I. (2004). Urban density and energy consumption: A new look at old statistics. Transportation Research Part A: Policy and Practice, 38, 143–162. doi: 10.1016/j.tra.2003.10.004
   Web of Science ®Google Scholar
• Moradi, A., & Vagnoni, E. (2018). A multi-level perspective analysis of urban mobility system dynamics: What are the future transition pathways? Technological Forecasting and Social Change, 126, 231–243. doi: 10.1016/j.techfore.2017.09.002
   Web of Science ®Google Scholar
• Moriarty, P. (2016). Reducing levels of urban passenger travel. International Journal of Sustainable Transportation, 10(8), 712–719. doi: 10.1080/15568318.2015.1136364
   Web of Science ®Google Scholar
• Motte-Baumvol, B., Massot, M.-H., & Byrd, A. M. (2010). Escaping car dependence in the outer suburbs of Paris. Urban Studies, 47(3), 604–619. doi: 10.1177/0042098009349773
   Web of Science ®Google Scholar
• Newell, J. P., & Cousins, J. J. (2015). The boundaries of urban metabolism: Towards a political-industrial ecology. Progress in Human Geography, 39(6), 702–728. doi: 10.1177/0309132514558442
   Web of Science ®Google Scholar
• Newman, P., & Kenworthy, J. R. (1989). Cities and automobile dependence: A sourcebook. Aldershot, Hants, UK, Brookfield, VT, US: Gower Technical.
   Google Scholar
• Nizlek, M. C., & Duckstein, L. (1974). A system model for predicting the effect of energy resources on urban modal split. Transportation Research, 8(4–5), 329–334. doi: 10.1016/0041-1647(74)90051-3
   Google Scholar
• Ohnemus, M., & Perl, A. (2016). Shared autonomous vehicles: Catalyst of new mobility for the last mile? Built Environment, 42(4), 589–602. doi: 10.2148/benv.42.4.589
   Google Scholar
• Owens, S. (1986). Strategic planning and energy conservation. Town Planning Review, 57(1), 69. doi: 10.3828/tpr.57.1.w374181612n1813t
   Web of Science ®Google Scholar
• Persson, O. (2010). Identifying research themes with weighted direct citation links. Journal of Informetrics, 4(3), 415–422. doi: 10.1016/j.joi.2010.03.006
   Web of Science ®Google Scholar
• Pojani, D. (2016). The urban transport crisis in emerging economies. New York, NY: Springer Science + Business Media.
   Google Scholar
• Rendall, S., Page, S., Reitsma, F., Van Houten, E., & Krumdieck, S. (2011). Quantifying transport energy resilience: Active mode accessibility. Transportation Research Record: Journal of the Transportation Research Board, 2242(1), 72–80. doi: 10.3141/2242-09
   Google Scholar
• Rodier, C. (2009). Review of international modeling literature: Transit, land Use, and auto pricing strategies to reduce vehicle miles traveled and greenhouse gas emissions. Transportation Research Record: Journal of the Transportation Research Board, 2132, 1–12. doi:10.3141/2132-01
   Web of Science ®Google Scholar
• Romanos, M. C. (1978). Energy-price effects on metropolitan spatial structure and form. Environment and Planning A: Economy and Space, 10(1), 93–104. doi: 10.1068/a100093
   Google Scholar
• Schiffer, A. (2016). Empowered, excited, or disenfranchised? Unveiling issues of energy access inequality and resource dependency in The Gambia. Energy Research & Social Science, 18, 50–61. doi:10.1016/j.erss.2016.04.011
   Web of Science ®Google Scholar
• Schipper, L. (2011). Automobile use, fuel economy and CO2 emissions in industrialized countries: Encouraging trends through 2008? Transport Policy, 18(2), 358–372. doi: 10.1016/j.tranpol.2010.10.011
   Web of Science ®Google Scholar
• Sharpe, R. (1982). Energy efficiency and equity of various urban land use patterns. Urban Ecology, 7(1), 1–18. doi: 10.1016/0304-4009(82)90002-X
   Web of Science ®Google Scholar
• Sheller, M., & Urry, J. (2016). Mobilizing the new mobilities paradigm. Applied Mobilities, 1(1), 10–25. doi: 10.1080/23800127.2016.1151216
   Google Scholar
• Small, K. A., & Van Dender, K. (2007). Fuel efficiency and motor vehicle travel: The declining rebound effect. The Energy Journal, 28(1), 25–51.
   Web of Science ®Google Scholar
• Social Exclusion Unit (SEU). (2003). Making the connections: Final report on transport and social exclusion, London. London, UK: Cabinet Office, UK. Retrieved from http://www.socialexclusionunit.gov.uk/publications/reports/ntml/transportfinal/summary
   Google Scholar
• Sperling, D., & Gordon, D. (2009). Two billion cars: Driving toward sustainability. Oxford, New York: Oxford University Press. Retrieved from http://public.eblib.com/choice/publicfullrecord.aspx?p=416014
   Google Scholar
• Stapleton, L., Sorrell, S., & Schwanen, T. (2017). Peak car and increasing rebound: A closer look at car travel trends in Great Britain. Transportation Research Part D: Transport and Environment, 53, 217–233. doi: 10.1016/j.trd.2017.03.025
   Web of Science ®Google Scholar
• Stokes, G. (2013). The prospects for future levels of car access and Use. Transport Reviews, 33(3), 360–375. doi: 10.1080/01441647.2013.800614
   Web of Science ®Google Scholar
• U.S. Energy Information Administration. (2016). International energy outlook 2016 - With projections to 2040. Washington, DC, USA: U.S. Energy Information Administration (EIA), U.S. Department of Energy.
   Google Scholar
• Van de Graaf, T., & Verbruggen, A. (2015). The oil endgame: Strategies of oil exporters in a carbon-constrained world. Environmental Science & Policy, 54, 456–462. doi: 10.1016/j.envsci.2015.08.004
   Web of Science ®Google Scholar
• Viguié, V., Hallegatte, S., & Rozenberg, J. (2014). Downscaling long term socio-economic scenarios at city scale: A case study on Paris. Technological Forecasting and Social Change, 87, 305–324. doi: 10.1016/j.techfore.2013.12.028
   Web of Science ®Google Scholar
• Vyas, A. D., Santini, D. J., & Johnson, L. R. (2009). Potential of plug-in hybrid electric vehicles to reduce petroleum use: Issues involved in developing reliable estimates. Transportation Research Record: Journal of the Transportation Research Board, 2139, 55–63. doi:10.3141/2139-07
   Google Scholar
• Wadud, Z., & Baierl, M. (2017). Explaining “peak car” with economic variables: A comment. Transportation Research Part A: Policy and Practice, 95, 381–385. doi: 10.1016/j.tra.2016.11.002
   Web of Science ®Google Scholar
• Wadud, Z., Graham, D. J., & Noland, R. B. (2010). Gasoline demand with heterogeneity in household responses. The Energy Journal, 31(1), 47–74.
   Web of Science ®Google Scholar
• Walks, A. (2013). Mapping the urban Debtscape: The geography of household debt in Canadian cities. Urban Geography, 34(2), 153–187. doi: 10.1080/02723638.2013.778647
   Web of Science ®Google Scholar
• Wang, T., & Chen, C. (2014). Impact of fuel price on vehicle miles traveled (VMT): Do the poor respond in the same way as the rich? Transportation, 41(1), 91–105. doi: 10.1007/s11116-013-9478-1
   Web of Science ®Google Scholar
• Waymire, B., & Waymire, E. (1980). Effects of rising energy prices on urban space. Regional Science and Urban Economics, 10(3), 407–422. doi: 10.1016/0166-0462(80)90040-X
   Web of Science ®Google Scholar
• Weinert, J., Ma, C., & Cherry, C. (2007). The transition to electric bikes in China: History and key reasons for rapid growth. Transportation, 34(3), 301–318. doi: 10.1007/s11116-007-9118-8
   Web of Science ®Google Scholar
• Weiss, M., Dekker, P., Moro, A., Scholz, H., & Patel, M. K. (2015). On the electrification of road transportation – A review of the environmental, economic, and social performance of electric two-wheelers. Transportation Research Part D: Transport and Environment, 41, 348–366. doi: 10.1016/j.trd.2015.09.007
   PubMed Web of Science ®Google Scholar
• Wells, P. (2012). Converging transport policy, industrial policy and environmental policy: The implications for localities and social equity. Local Economy, 27(7), 749–763. doi: 10.1177/0269094212455018
   Google Scholar
• Wells, P., & Xenias, D. (2015). From ‘freedom of the open road’ to ‘cocooning’: Understanding resistance to change in personal private automobility. Environmental Innovation and Societal Transitions, 16, 106–119. doi: 10.1016/j.eist.2015.02.001
   Web of Science ®Google Scholar
• Wiedenhofer, D., Lenzen, M., & Steinberger, J. K. (2013). Energy requirements of consumption: Urban form, climatic and socio-economic factors, rebounds and their policy implications. Energy Policy, 63, 696–707. doi: 10.1016/j.enpol.2013.07.035
   Web of Science ®Google Scholar
• Zucchetto, J. (1983). Energy and the future of human settlement patterns: Theory, models and empirical considerations. Ecological Modelling, 20(2–3), 85–111. doi: 10.1016/0304-3800(83)90001-7
   Web of Science ®Google Scholar