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Can the built environment influence nonwork activity participation? An analysis with national data

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  • Louis Merlin

Abstract

Most of the research on the influence of the built environment on travel has focused on reducing the impacts of travel, but one of the primary benefits of travel is the opportunity to engage in activities. This study examines a national travel data set to see if variation in the built environment can facilitate participation in out-of-the-home, nonwork activities for households. Although several studies have examined the relationship between the built environment and nonwork trip generation in the past, none have looked at such a wide range of built environments as a national data set can provide. Built environment variables are associated with higher than expected impacts on household participation in nonwork activities, increasing or decreasing activity levels in the range of 8–47 %, depending largely upon the level of household vehicle ownership. For households without vehicles, high residential and employment densities appear to support greater nonwork activity. Households with full access to vehicles appear to be supported by higher than average residential and employment densities and mid-range urban and metropolitan area sizes. Interestingly, activity participation in households with limited vehicle access is for the most part not affected by the built environment in a statistically significant way. In sum, these results suggest that the built environment may play a larger role in facilitating activity participation than previously presumed. Copyright Springer Science+Business Media New York 2015

Suggested Citation

  • Louis Merlin, 2015. "Can the built environment influence nonwork activity participation? An analysis with national data," Transportation, Springer, vol. 42(2), pages 369-387, March.
    • Handle: RePEc:kap:transp:v:42:y:2015:i:2:p:369-387
    DOI: 10.1007/s11116-014-9554-1
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    References listed on IDEAS

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    1. Kevin Krizek, 2003. "Neighborhood services, trip purpose, and tour-based travel," Transportation, Springer, vol. 30(4), pages 387-410, November.
    2. Reid Ewing & Robert Cervero, 2010. "Travel and the Built Environment," Journal of the American Planning Association, Taylor & Francis Journals, vol. 76(3), pages 265-294.
    3. Jean-Claude Thill & Marim Kim, 2005. "Trip making, induced travel demand, and accessibility," Journal of Geographical Systems, Springer, vol. 7(2), pages 229-248, June.
    4. Thirayoot Limanond & Debbie Niemeier, 2004. "Effect of land use on decisions of shopping tour generation: A case study of three traditional neighborhoods in WA," Transportation, Springer, vol. 31(2), pages 153-181, May.
    5. Golob, Thomas F., 2000. "A simultaneous model of household activity participation and trip chain generation," Transportation Research Part B: Methodological, Elsevier, vol. 34(5), pages 355-376, June.
    6. Crane, Randall & Crepeau, Richard, 1998. "Does Neighborhood Design Influence Travel?: Behavioral Analysis of Travel Diary and GIS Data," University of California Transportation Center, Working Papers qt4pj4s7t8, University of California Transportation Center.
    7. Jonathan Levine & Joe Grengs & Qingyun Shen & Qing Shen, 2012. "Does Accessibility Require Density or Speed?," Journal of the American Planning Association, Taylor & Francis Journals, vol. 78(2), pages 157-172.
    8. Boarnet, Marlon & Crane, Randall, 2001. "The influence of land use on travel behavior: specification and estimation strategies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(9), pages 823-845, November.
    9. S Hanson & M Schwab, 1987. "Accessibility and Intraurban Travel," Environment and Planning A, , vol. 19(6), pages 735-748, June.
    10. Crane, Randall, 1998. "Travel By Design?," University of California Transportation Center, Working Papers qt3pc4v6jj, University of California Transportation Center.
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    Cited by:

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    2. Yang Zhou & Hui Ji & Songtian Zhang & Caiyun Qian & Zixiong Wei, 2019. "Empirical Study on the Boundary Space Form of Residential Blocks Oriented Toward Low-Carbon Travel," Sustainability, MDPI, vol. 11(10), pages 1-31, May.
    3. Caiyun Qian & Yang Zhou & Ze Ji & Qing Feng, 2018. "The Influence of the Built Environment of Neighborhoods on Residents’ Low-Carbon Travel Mode," Sustainability, MDPI, vol. 10(3), pages 1-26, March.
    4. Luz, Gregorio & Barboza, Matheus Henrique Cunha & da Silva Portugal, Licinio & Giannotti, Mariana & van Wee, Bert, 2022. "Does better accessibility help to reduce social exclusion? Evidence from the City of São Paulo, Brazil," SocArXiv 2p896, Center for Open Science.
    5. Zelong Xia & Hao Li & Yuehong Chen, 2018. "Assessing Neighborhood Walkability Based on Usage Characteristics of Amenities under Chinese Metropolises Context," Sustainability, MDPI, vol. 10(11), pages 1-18, October.

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