Research agenda for low-carbon mobility: Issues for New World cities

References

• Aditjandra, P., Mulley, C., & Nelson, J. (2013). The influence of neighbourhood design on travel behaviour: Empirical evidence from north east England. Transport Policy, 26, 54–65.
   Web of Science ®Google Scholar
• Akyelken, N. (2013). Finance and investment in transport. In M. Givoni & D. Banister (Eds.), Moving towards low carbon mobility (pp. 129–147).Cheltenham, UK: Edward Elgar Publishing.
   Google Scholar
• Banister, D. (2011). Cities, mobility, and climate change. Journal of Transport Geography, 19(6), 1538–1546.
   Web of Science ®Google Scholar
• Banister, D. (2013). City transport in a postcarbon society. In M. Givoni & D. Banister (Eds.), Moving towards low carbon mobility (pp. 255–266). Cheltenham, UK: Edward Elgar Publishing.
   Google Scholar
• Banister, D., Anderton, K., Bonilla, D., Givoni, M., & Schwanen, T. (2011). Transportation and the environment. Annual Review of Environment and Resources, 36, 247–270.
   Web of Science ®Google Scholar
• Banister, D., Stead, D., Steen, P., Åkerman, J., Dreborg, K., Nijkamp, P., & Schleicher-Tappeser, R. (2000). European transport policy and sustainable mobility. London, UK: Spon.
   Google Scholar
• Bishop, J. (2013). Technology. In M. Givoni & D. Banister (Eds.), Moving towards low carbon mobility (pp. 92–110). Cheltenham, UK: Edward Elgar Publishing.
   Google Scholar
• Brand, C., Anable, J., & Tran, M. (2013). Accelerating the transformation to a low carbon passenger transport system: The role of car purchase taxes, feebates, road taxes, and scrappage incentives in the UK. Transportation Research Part A, 49, 132–148.
   Google Scholar
• Bristow, A. L., Tight, M., Pridmore, A., & May, A. D. (2008). Developing pathways to low carbon land-based passenger transport in Great Britain by 2050. Energy Policy, 36(9), 3427–3435.
   Web of Science ®Google Scholar
• BTS. (2013). 2011/12 Household Travel Survey summary report 2013 release. Sydney, Australia: NSW Bureau of Transport Statistics. Retrieved from www.bts.nsw.gov.au
   Google Scholar
• Chavez, A., & Ramaswami, A. (2011). Progress toward low carbon cities: Approaches for transboundary GHG emissions' footprinting. Carbon Management, 2(4), 471–482.
   Web of Science ®Google Scholar
• Churkina, G. (2008). Modelling the carbon cycle of urban systems. Ecological Modelling, 216, 107–113.
   Web of Science ®Google Scholar
• DCCEE. (2012). Australian national greenhouse gas accounts: National inventory report 2010, Vol 1. Canberra, Australia: Department of the Environment.
   Google Scholar
• Dong, W., Dong, Y., & Wang, G.-P. (2011). Low-carbon transport, under the name of people: The confusion of “last mile problem” and its solutions. Journal of Harbin Institute of Technology (New Series), 18(S2), 279–284.
   Google Scholar
• Donoso, P., Martinez, F., & Zegras, C. (2006). The Kyoto Protocol and sustainable cities: Potential use of clean-development mechanism in structuring cities for carbon-efficient transportation. Transportation Research Record, 1983, 158–166.
   Google Scholar
• EU. (2011). Roadmap to a single European transport area: Towards a competitive and resource-efficient transport system (White Paper). Brussels, Belgium: European Commission. Retrieved from http://ec.europa.eu/transport/themes/strategies/2011_white_paper_en.htm
   Google Scholar
• EU. (2012). Towards low carbon transport in Europe (Policy Brochure). Brussels, Belgium: Directorate-General for Mobility and Transport (DG MOVE), European Commission. Retrieved from www.transport-research.info
   Google Scholar
• Feitelson, E. (2003). Packaging policies to address environmental concerns. In D. Hensher & K. Button (Eds.), Handbook of transport and the environment (pp. 757–769). Amsterdam, the Netherlands: Elsevier.
   Google Scholar
• Garnaut, R. (2008). The Garnaut climate change review: Final report. Melbourne, Australia: Cambridge University Press.
   Google Scholar
• Giles-Corti, B., & Donovan, R. (2002). Socioeconomic status differences in recreational physical activity levels and real and perceived access to a supportive physical environment. Preventive Medicine, 35(6), 601–611.
   PubMed Web of Science ®Google Scholar
• Givoni, M. (2013). Alternative pathways to low carbon mobility. In M. Givoni & D. Banister (Eds.), Moving towards low carbon mobility (pp. 209–230). Cheltenham, UK: Edward Elgar Publishing.
   Google Scholar
• Givoni, M., & Banister, D. (2013). Mobility, transport, and carbon. In M. Givoni & D. Banister (Eds.), Moving towards low carbon mobility (pp. 1–12). Cheltenham, UK: Edward Elgar Publishing.
   Google Scholar
• Givoni, M., Macmillen, J., Banister, D., & Feitelson, E. (2013). From policy measures to policy packages. Transport Reviews, 33(1), 1–20.
   Web of Science ®Google Scholar
• Global Footprint Network. (2010). Ecological footprint atlas 2010. Retrieved from http://www.footprintnetwork.org/images/uploads/Ecological_Footprint_Atlas_2010.pdf
   Google Scholar
• Grimm, N., Faeth, S., & Golubiewski, N. (2008). Global change and the ecology of cities. Science, 319, 756–760.
   PubMed Web of Science ®Google Scholar
• Grubler, A. (1994). Technology. In B. William & I. Turner (Eds.), Changes in land use and land cover: A global perspective (p. 287). Cambridge, UK: Cambridge University Press.
   Google Scholar
• Hackbarth, A., & Madlener, R. (2013). Consumer preferences for alternative fuel vehicles: A discrete choice analysis. Transportation Research Part D, 25, 5–17.
   Web of Science ®Google Scholar
• Hayashi, Y. (2013, October). Drastic visioning and backcasting to leapfrog to low carbon transport in growing Asia. Keynote paper presented at the Workshop on a Research Agenda for Low Carbon Transport, Cooperative Research Centre for Low Carbon Living, Adelaide, Australia.
   Google Scholar
• Hensher, D. A., Greene, W., & Chorus, C. (2013). Random regret minimization or random utility maximization: an exploratory analysis in the context of automobile fuel choice. Journal of Advanced Transportation, 47, 667–678.
   Web of Science ®Google Scholar
• Hensher, D. A., Rose, J. M., & Greene, W. H. (2005). Applied choice analysis: A primer. Cambridge, UK: Cambridge University Press.
   Google Scholar
• Hickman, R. (2013). Urbanization and future mobility. In M. Givoni & D. Banister, Moving towards low carbon mobility (pp. 60–74). Cheltenham, UK: Edward Elgar Publishing.
   Google Scholar
• Hickman, R., & Banister, D. (2007). Looking over the horizon: Transport and reduced CO2 emissions in the UK by 2030. Transport Policy, 14, 377–387.
   Web of Science ®Google Scholar
• International Energy Agency. (2008). World energy outlook. Paris, France: IEA.
   Google Scholar
• Jensen, A., Cherchi, E., & Mabit, L. (2013). On the stability of preferences and attitudes before and after experiencing an electric vehicle. Transportation Research Part D, 25, 24–32.
   Web of Science ®Google Scholar
• Jones, T., & Azevedo, L. (2013). Economic, social, and cultural transformation and the role of the bicycle in Brazil. Journal of Transport Geography, 30, 208–219.
   Web of Science ®Google Scholar
• Jones, L., Cherry, C., Vu, T., & Nguyen, Q. (2013). The effect of incentives and technology on the adoption of electric motorcycles: A stated choice experiment in Vietnam. Transportation Research Part A, 57, 1–11.
   Google Scholar
• Justen, A., Fearnley, N., Givoni, M., & Macmillen, J. (2014a). A process for designing policy packaging: Ideals and realities. Transportation Research Part A, 60, 9–18.
   Google Scholar
• Justen, A., Schippl, J., Lenz, B., & Fleischer, T. (2014b). Assessment of policies and detection of unintended effects: Guiding principles for the consideration of methods and tools in policy packaging. Transportation Research Part A, 60, 19–30.
   Google Scholar
• Lenzen, M., & Dey, C. J. (2003). Economic, energy, and greenhouse emissions impact of some consumer choice, technology, and government outlay options. Energy Economics, 24(4), 377–403.
   Web of Science ®Google Scholar
• Line, T., Chatterjee, K., & Lyons, G. (2012). Applying behavioural theories to studying the influence of climate change on young people's future travel intentions. Transportation Research D, 17(3), 270–276.
   Web of Science ®Google Scholar
• Lopez-Ruiz, H., Christidis, P., Demirel, H., & Kompil, M. (2013). Quantifying the effects of sustainable urban mobility plans. Luxemborg: European Commission Joint Research Centre Technical Report. Retrieved from http://ftp.jrc.es/EURdoc/JRC84116.pdf.
   Google Scholar
• Luo, Y., Jia, B., Liu, J., Lam, W., Xingang, L., & Gao, Z. (2015). Modelling the interactions between car and bicycle in heterogeneous traffic. Journal of Advanced Transportation, 49(1), 28–47.
   Web of Science ®Google Scholar
• McCarney, G. (2013, July). Travel mode choice: A simple interactive tool. Paper presented at the Proceedings of the AITPM National Traffic and Transport Conference, Perth. Australian Institute of Traffic Planning and Management.
   Google Scholar
• Mackett, R. L. (2013). Children's travel behaviour and its health implications. Transport Policy, 26, 66–72.
   Web of Science ®Google Scholar
• Martens, K. (2004). The bicycle as a feedering mode: Experiences from three European countries. Transportation Research Part D, 9, 281–294.
   Web of Science ®Google Scholar
• May, A., & Roberts, M. (1995). The design of integrated transport strategies. Transport Policy, 2, 97–105.
   Google Scholar
• Meng, L., Taylor, M. A. P., & Scrafton, D. (2016). Combining latent class models and GIS models for integrated transport and land use planning. Urban Policy and Research. DOI:10.1080/08111146.2015.1118372.
   Google Scholar
• Mindell, J. S., Cohen, J. M., Watkins, S., & Tyler, N. (2011). Synergies between low-carbon and healthy transport policies. Proceedings of the Institution of Civil Engineers: Transport, 164(3), 127–139.
   Web of Science ®Google Scholar
• Nakamura, K., & Hayashi, Y. (2013). Strategies and instruments for low-carbon urban transport: An international review on trends and effects. Transport Policy, 29, 264–274.
   Web of Science ®Google Scholar
• Nakamura, K., Hayashi, Y., & May, A. D. (2004). Urban transport and the environment. New York: Elsevier.
   Google Scholar
• Newman, P., Kenworthy, J., & Glazebrook, G. (2013). Peak car use and the rise of global rail: Why this is happening and what it means for large and small cities. Journal of Transportation Technologies, 3, 272–287.
   Google Scholar
• Newton, P. W. (2014). Low carbon precincts for low carbon living. Carbon Management, 5(1), 5–8.
   Web of Science ®Google Scholar
• Newton, P. W., & Newman, P. (2013). The geography of solar photovoltaics (PV) and a new low carbon urban transition theory. Sustainability, 5, 2537–2556.
   Web of Science ®Google Scholar
• Newton, P. W., Pears, A., Whiteman, J., & Astle, R. (2012). The energy and carbon footprints of urban housing and transport: Current trends and future prospects. In R. Tomlinson (Ed.), Australia's unintended cities: The impact of housing on urban development (pp. 153–189). Melbourne, Australia: CSIRO.
   Google Scholar
• Nocera, S., & Cavallaro, F. (2014). A methodological framework for the economic evaluation of CO2 emissions from transport. Journal of Advanced Transportation, 48(2), 138–164.
   Web of Science ®Google Scholar
• OECD. (2007). Instrument mixes for environmental policy. Paris, France: Organisation for Economic Cooperation and Development.
   Google Scholar
• O'Meara, M. (1999). Reinventing cities for people and the planet. Worldwatch, (147). Retrieved from www.worldwatch.org/system/files/WP147.pdf
   Google Scholar
• Philp, M., & Taylor, M. A. P. (2014). Research synthesis report: A research agenda for low carbon mobility (Research Report). Sydney, Australia: Cooperative Research Centre for Low Carbon Living.
   Google Scholar
• Philp, M., Taylor, M. A. P., & Thompson, S. (2015). Carbon reductions and co-benefits: Final report, part I: Literature and practice review of Australian policies relating urban planning and public health (Research Report RP-2015). Sydney, Australia: Cooperative Research Centre for Low Carbon Living.
   Google Scholar
• Potere, D., & Schneider, A. (2007). A critical look at representations of urban areas in global maps. GeoJournal, 69, 55–80.
   Google Scholar
• Primerano, F., Taylor, M. A. P., Pitaksringkarn, L., & Tisato, P. M. (2008). Defining and understanding trip chaining behaviour. Transportation, 35(1), 55–72.
   Web of Science ®Google Scholar
• Productivity Commission. (2010). Population and migration: Understanding the numbers (Research Paper). Retrieved from http://www.pc.gov.au/research/commissionresearch/population-migration
   Google Scholar
• Ramjerdi, F., & Fearnley, N. (2014). Risk and irreversibility of transport interventions. Transportation Research Part A, 60, 31–39.
   Google Scholar
• Rauland, V., & Newman, P. (2011). Decarbonising Australian cities: A new model for creating low carbon, resilient cities. In F. Chan, D. Marinova, & R. S. Anderssen (Eds.), MODSIM2011: 19th International Congress on Modelling and Simulation (pp. 3073–3079). Perth, WA: Modelling and Simulation Society of Australia and New Zealand.
   Google Scholar
• Rose, J. M., Bliemer, M. C. J., Hensher, D. A., & Collins, A. T. (2008). Designing efficient stated choice experiments in the presence of reference alternatives. Transportation Research Part B, 42(4), 395–406.
   Google Scholar
• Sallis, J., Frank, L., Saelens, B., & Kraft, M. (2004). Active transportation and physical activity: Opportunities for collaboration on transportation and public health research. Transportation Research Part A: Policy and Practice, 38(4), 249–268.
   Web of Science ®Google Scholar
• Santos, G., Behrendt, H., & Teytelboym, A. (2010). Part II: Policy instruments for sustainable road transport. Research in Transportation Economics, 28(1), 46–91.
   Google Scholar
• Schepers, P., Hagenzieker, M., Methorst, R., Wee, B., & Wegman, F. (2014). A conceptual framework for road safety and mobility applied to cycling safety. Accident Analysis and Prevention, 62, 331–340.
   PubMed Web of Science ®Google Scholar
• Singh, B., & Strømman, A. (2013). Environmental assessment of electrification of road transport in Norway: Scenarios and impacts. Transportation Research Part D, 25, 106–111.
   Web of Science ®Google Scholar
• Taeihagh, A., Bañares-Alcántra, R., & Givoni, M. (2014). A virtual environment for the formulation of policy packages. Transportation Research Part A, 60, 53–68.
   Google Scholar
• Taylor, M. A. P. (2007). Voluntary travel behaviour change programs in Australia: The carrot rather than the stick in travel demand management. International Journal of Sustainable Transportation, 1(3), 173–192.
   Web of Science ®Google Scholar
• Taylor, M. A. P., Pudney, P., Zito, R., Holyoak, N. M., Albrecht, A., & Raicu, R. (2010). Planning for electric vehicles: Can we match environmental requirements, technology, and travel demand? In Selected Proceedings of the 12th World Conference on Transport Research (pp.). Lyon, France: WCTR Society. Retrieved from http://www.wctrs-society.com/wp/wp-content/uploads/abstracts/lisbon/selected/01632.pdf.
   Google Scholar
• Tight, M., Timms, P., Banister, D., Bowmaker, J., Copas, J., Day, A., Drinkwater, D., Givoni, M., Gühnemann, A., Lawler, M., et al. (2011). Visions for a walking and cycling focussed urban transport system. Journal of Transport Geography, 19, 1580–1589.
   Web of Science ®Google Scholar
• Traut, E., Cherng, T., Hendrickson, C., & Michalek, J. (2013). US residential charging potential for electric vehicles. Transportation Research Part D, 25, 139–145.
   Web of Science ®Google Scholar
• United Nations. (2006). World urbanization prospects: The 2005 revision. New York, NY: Author.
   Google Scholar
• United Nations. (2007). World urbanization prospects: The 2007 revision. New York, NY: Author.
   Google Scholar
• Wedderburn, M. (2013). Improving the cost–benefit analysis of integrated PT, walking, and cycling (Research Report 537), Wellington, New Zealand: NZ Transport Agency.
   Google Scholar
• Wegman, F., Zhang, F., & Dijkstra, A. (2012). How to make more cycling good for road safety? Accident Analysis and Prevention, 44, 19–29.
   PubMed Web of Science ®Google Scholar
• Wen, L., & Rissel, C. (2008). Inverse associations between cycling to work, public transport, and overweight and obesity: Findings from a population based study in Australia. Preventive Medicine, 46(1), 29–32.
   PubMed Web of Science ®Google Scholar
• Whitehead, J. (2013). Making the transition to a “green” vehicle fleet: An analysis of the choice and usage effects of incentivizing the adoption of low emission vehicles (Licentiate thesis). Royal Institute of Technology, Stockholm, Sweden.
   Google Scholar
• Woodcock, J., Edwards, P., Tonne, C., Armstrong, B., Ashiru, O., Banister, D., Beevers, S., Chalabi, Z., Chowdhury, Z., Cohen, A., et al. (2009). Public health benefits of strategies to reduce greenhouse-gas emissions: Urban land transport. Lancet, 374(9705), 1930–1943.
   PubMed Web of Science ®Google Scholar
• Zhang, Y., Stopher, P. L., & Halling, B. (2013). Evaluation of South Australia's TravelSmart project: Changes in community's attitudes to travel. Transport Policy, 26, 15–22.
   Web of Science ®Google Scholar