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Can Housing and Accessibility Information Influence Residential Location Choice and Travel Behavior? An Experimental Study

Author

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  • Daniel A Rodriguez

    (Department of City and Regional Planning, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA)

  • Jennifer Rogers

    (Triangle Transit, 4600 Emperor Boulevard #100, Durham, NC 27703, USA)

Abstract

Although information has been used as a strategy to influence short-term travel behavior, there is a paucity of research on whether information can result in long-term behavioral changes. To examine the impact of providing information on location choices and travel behaviors we used an experimental design with a sample of incoming students at two area universities. Information was administered to individuals in the experimental group before they selected a residential location in the area. With a survey, we collected information on residential locations and travel behaviors from all participants six months after the intervention. Students in the intervention group from one university traveled between 50% and 68% fewer km/day by automobile, located closer to the university, and located in areas with more transit stops than students in the control group. Information appears to be a promising strategy for influencing location decisions and prompting travel behavior change.

Suggested Citation

  • Daniel A Rodriguez & Jennifer Rogers, 2014. "Can Housing and Accessibility Information Influence Residential Location Choice and Travel Behavior? An Experimental Study," Environment and Planning B, , vol. 41(3), pages 534-550, June.
    • Handle: RePEc:sae:envirb:v:41:y:2014:i:3:p:534-550
    DOI: 10.1068/b120032p
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    References listed on IDEAS

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    Cited by:

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    2. Kelcie M. Ralph & Anne E. Brown, 2019. "The role of habit and residential location in travel behavior change programs, a field experiment," Transportation, Springer, vol. 46(3), pages 719-734, June.
    3. Boeing, Geoff, 2018. "The Effects of Inequality, Density, and Heterogeneous Residential Preferences on Urban Displacement and Metropolitan Structure: An Agent-Based Model," SocArXiv mkq7d, Center for Open Science.

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