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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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    2. 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.
    3. 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.
    4. Luz, Gregório & Barboza, Matheus H.C. & Portugal, Licinio & Giannotti, Mariana & van Wee, Bert, 2022. "Does better accessibility help to reduce social exclusion? Evidence from the city of São Paulo, Brazil," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 186-217.
    5. 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.

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