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Abstract

This chapter focuses on the effectiveness of travel plans at a set of case study sites. The aim of the chapter is to evaluate the effectiveness of travel plans for new residential developments, while considering the potential for self-selection bias effects.

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References

  • Arlington County Commuter Services. (2013). Residential building transportation performance monitoring study. Virginia, US: Arlington.

    Google Scholar 

  • Arrington, G., & Cervero, R. (2008). TCRaP report 128: Effects of TOD on housing, parking and travel. Washington, D.C., US: Transportation Research Board of the National Academies.

    Google Scholar 

  • Australian Bureau of Statistics. (2011). Census of population and housing data. Retrieved September 25, 2014 from http://www.abs.gov.au/census.

  • Australian Bureau of Statistics. (2011b). Reflecting a nation: Stories from the 2011 Census. Australia: Canberra.

    Google Scholar 

  • Australian Government. (2006). Census and statistics act 1905. Australia: Canberra.

    Google Scholar 

  • BioRegional. (2009). BedZED seven years on: The impact of the UK’s best known eco-village and its residents. UK.

    Google Scholar 

  • Cairns, S., Sloman, L., Newson, C., Anable, J., Kirkbride, A., & Goodwin, P. (2004). Smarter choices—changing the way we travel. UK: Department for Transport.

    Google Scholar 

  • Caliendo, M., & Kopeinig, S. (2008). Some practical guidance for the implementation of propensity score matching. Journal of Economic Surveys, 22(1), 31–72.

    Article  Google Scholar 

  • Cao, X., Mokhtarian, P., & Handy, S. (2009). Examining the impacts of residential self-selection on travel behaviour: A focus on empirical findings. Transport Reviews, 29(3), 359–395.

    Article  Google Scholar 

  • Cao, X., Xu, Z., & Fan, Y. (2010). Exploring the connections among residential location, self-selection, and driving: Propensity score matching with multiple treatments. Transportation Research Part A, 44(10), 797–805.

    Google Scholar 

  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, New Jersey, US: Lawrence Erlbaum Associates.

    MATH  Google Scholar 

  • Department for Transport. (2005). Making residential travel plans work: Guidelines for new development. London, UK.

    Google Scholar 

  • Department of Transport, Planning and Local Infrastructure. (2010). Victorian integrated survey of travel and activity data. Retrieved September 25, 2014, from http://www.dtpli.vic.gov.au/.

  • De Gruyter, C., Rose, G., & Currie, G. (In Press). ‘Travel Plans for New Residential Developments: Measuring Self-Selection Effects to Better Understand Travel Behaviour Impacts’. Transportation Research Record: Journal of the Transportation Research Board, No. 2564.

    Google Scholar 

  • De Gruyter, C., Rose, G., & Currie, G. (2015). ‘Understanding Travel Plan Effectiveness for New Residential Developments’. Transportation Research Record: Journal of the Transportation Research Board, No. 2537, 126–136.

    Google Scholar 

  • Enoch, M. (2012). Sustainable transport, mobility management and travel plans. Surrey, England: Ashgate Publishing Limited.

    Google Scholar 

  • Heinrich, C., Maffioli, A., & Vazquez, G. (2010). A primer for applying propensity-score matching: Impact-evaluation guidelines, Technical Notes No. IDB-TN-161, Inter-American Development Bank.

    Google Scholar 

  • Institute of Transportation Engineers. (2008). Trip generation (8th ed.). US: Washington D.C.

    Google Scholar 

  • Kahneham, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263–291.

    Article  MATH  Google Scholar 

  • Lee, J. S., Zegras, C., Ben-Joseph, E., & Park, S. (2014). Does urban living influence baby boomer’ travel behaviour? Journal of Transport Geography, 35, 21–29.

    Article  Google Scholar 

  • Melia, S. (2009). Potential for carfree development in the UK. PhD thesis, University of West England.

    Google Scholar 

  • Melia, S., Barton, H., & Parkhurst, G. (2013). Potential for carfree development in the UK. Urban Design and Planning, 166(DP2), 136–145.

    Article  Google Scholar 

  • Mokhtarian, P., & Cao, X. (2008). Examining the impacts of residential self-selection on travel behaviour: A focus on methodologies. Transportation Research Part B, 42, 204–228.

    Article  Google Scholar 

  • Naess, P. (2009). Residential self-selection and appropriate control variables in land use: Travel studies. Transport Reviews, 29(3), 293–324.

    Article  MathSciNet  Google Scholar 

  • Roads & Maritime Services. (2013). Guide to traffic generating developments: Updated traffic surveys. Australia: New South Wales Government.

    Google Scholar 

  • Roads and Traffic Authority. (2002). Guide to traffic generating developments. Australia: New South Wales.

    Google Scholar 

  • Rye, T. (2002). Travel plans: Do they work? Transport Policy, 9, 287–298.

    Article  Google Scholar 

  • WSP. (2014). Does car ownership increase car use? A study of the use of car parking within residential developments in London, Commissioned by the Berkeley Group, UK.

    Google Scholar 

  • Howlett, R., & Watson, T. (2010). Travel planning in Victoria—a new strategic approach to sustaining communities. in Paper Presented to 33rd Australasian Transport Research Forum (ATRF), Canberra, Australia.

    Google Scholar 

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Correspondence to Chris De Gruyter .

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De Gruyter, C. (2017). Travel Plan Impacts. In: Travel Plans for New Residential Developments: Insights from Theory and Practice. Springer Theses. Springer, Singapore. https://doi.org/10.1007/978-981-10-2092-6_8

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  • DOI: https://doi.org/10.1007/978-981-10-2092-6_8

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2091-9

  • Online ISBN: 978-981-10-2092-6

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