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The relationship between neighborhood design and social capital as measured by carpooling

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  • Dhari S. Alrasheed

Abstract

This paper examines whether social capital in a neighborhood is influenced by its design, taking the cul‐de‐sac as a special case. It offers two contributions: using carpooling to school as a proxy for social capital and a precise definition of the neighborhood using geo‐coded survey data from California. Living in a cul‐de‐sac neighborhood is found to increase the probability of carpooling, but the effect loses statistical significance when residential self‐selection is accounted for. The analysis reveals competing insights about the self‐selection behavior that must be resolved before neighborhood design can be considered an effective policy tool for enhancing social capital.

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  • Dhari S. Alrasheed, 2019. "The relationship between neighborhood design and social capital as measured by carpooling," Journal of Regional Science, Wiley Blackwell, vol. 59(5), pages 962-987, November.
    • Handle: RePEc:bla:jregsc:v:59:y:2019:i:5:p:962-987
    DOI: 10.1111/jors.12457
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    Cited by:

    1. Mustafa Coban, 2021. "rbprobit: Recursive bivariate probit estimation and decomposition of marginal effects," London Stata Conference 2021 20, Stata Users Group.
    2. Mustafa Coban, 2022. "rbicopula: Recursive bivariate copula estimation and decomposition of marginal effects," 2022 Stata Conference 04, Stata Users Group.
    3. Anne Aguiléra & Eléonore Pigalle, 2021. "The Future and Sustainability of Carpooling Practices. An Identification of Research Challenges," Sustainability, MDPI, vol. 13(21), pages 1-16, October.
    4. Diemer, Andreas, 2023. "Divided we fall? The effect of manufacturing decline on the social capital of US communities," LSE Research Online Documents on Economics 120355, London School of Economics and Political Science, LSE Library.
    5. Mustafa Coban, 2022. "Recursive bivariate copula estimation and decomposition of marginal effects," Northern European Stata Conference 2022 09, Stata Users Group.

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