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The relationships between land use measures and travel behavior: a meta-analytic approach

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  • Tae-Hyoung Tommy Gim

Abstract

From a review of the literature on residential self-selection and spatial multicollinearity, this paper identifies the relationships that travel behavior has with three factors: land use, sociodemographics, and attitudes. It then analyzes the magnitude of the land use--travel behavior relationship by testing two meta-regression models. Each model specifies: (1) residential self-selection as a sociodemographic or attitudinal confounding factor in the land use--travel behavior relationship; and (2) spatial multicollinearity as a land use confounding variable. The first model shows that the land use factor is related to travel behavior more strongly than is residential self-selection. The second model finds that, among land use variables, accessibility to regional centers is most strongly related to travel behavior. Depending on the accessibility--travel behavior relationship, other land use variables are conditionally related to travel behavior. This finding implies that accessibility represents the overall effect of land use on travel behavior.

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  • Tae-Hyoung Tommy Gim, 2013. "The relationships between land use measures and travel behavior: a meta-analytic approach," Transportation Planning and Technology, Taylor & Francis Journals, vol. 36(5), pages 413-434, July.
    • Handle: RePEc:taf:transp:v:36:y:2013:i:5:p:413-434
    DOI: 10.1080/03081060.2013.818272
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    Cited by:

    1. Ding, Chuan & Wang, Donggen & Liu, Chao & Zhang, Yi & Yang, Jiawen, 2017. "Exploring the influence of built environment on travel mode choice considering the mediating effects of car ownership and travel distance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 65-80.
    2. van de Coevering, Paul & Maat, Kees & van Wee, Bert, 2021. "Causes and effects between attitudes, the built environment and car kilometres: A longitudinal analysis," Journal of Transport Geography, Elsevier, vol. 91(C).
    3. Yu, Haitao & Peng, Zhong-Ren, 2019. "Exploring the spatial variation of ridesourcing demand and its relationship to built environment and socioeconomic factors with the geographically weighted Poisson regression," Journal of Transport Geography, Elsevier, vol. 75(C), pages 147-163.
    4. van de Coevering, Paul & Maat, Kees & van Wee, Bert, 2018. "Residential self-selection, reverse causality and residential dissonance. A latent class transition model of interactions between the built environment, travel attitudes and travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 466-479.
    5. Tae-Hyoung Tommy Gim, 2023. "Residential self-selection or socio-ecological interaction? the effects of sociodemographic and attitudinal characteristics on the built environment–travel behavior relationship," Transportation, Springer, vol. 50(4), pages 1347-1398, August.
    6. Hui Zheng & Baohong He & Mingwei He & Jinghui Guo, 2022. "Impact of Urban Spatial Transformation on the Mobility of Commuters with Different Transportation Modes in China: Evidence from Kunming 2011–2016," Sustainability, MDPI, vol. 14(13), pages 1-22, June.
    7. Tae-Hyoung Tommy Gim, 2016. "Testing the Reciprocal Relationship between Attitudes and Land Use in Relation to Trip Frequencies," International Regional Science Review, , vol. 39(2), pages 203-227, April.
    8. Sharmin, Samia & Kamruzzaman, Md., 2017. "Association between the built environment and children's independent mobility: A meta-analytic review," Journal of Transport Geography, Elsevier, vol. 61(C), pages 104-117.
    9. Tae‐Hyoung Tommy Gim, 2023. "The corona blues according to daily life changes by COVID‐19: A partial least squares regression model," Growth and Change, Wiley Blackwell, vol. 54(2), pages 386-403, June.
    10. Ding, Chuan & Cao, Xinyu (Jason) & Næss, Petter, 2018. "Applying gradient boosting decision trees to examine non-linear effects of the built environment on driving distance in Oslo," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 107-117.
    11. Tae-Hyoung Tommy Gim, 2018. "An Analysis of the Relationship between Land Use and Weekend Travel: Focusing on the Internal Capture of Trips," Sustainability, MDPI, vol. 10(2), pages 1-17, February.
    12. Peng Zang & Hualong Qiu & Fei Xian & Linchuan Yang & Yanan Qiu & Hongxu Guo, 2022. "Nonlinear Effects of the Built Environment on Light Physical Activity among Older Adults: The Case of Lanzhou, China," IJERPH, MDPI, vol. 19(14), pages 1-15, July.
    13. Tae-Hyoung Tommy Gim, 2017. "Investigating travel utility elements in association with travel time and mode choice: the case of Seoul, South Korea," Transportation Planning and Technology, Taylor & Francis Journals, vol. 40(6), pages 641-660, August.
    14. Yang, Linchuan & Ao, Yibin & Ke, Jintao & Lu, Yi & Liang, Yuan, 2021. "To walk or not to walk? Examining non-linear effects of streetscape greenery on walking propensity of older adults," Journal of Transport Geography, Elsevier, vol. 94(C).
    15. Tae‐Hyoung T. Gim, 2021. "Partial least squares regression and importance–satisfaction analyses of the strategic drivers of happiness: A quality of life survey in Seoul, Korea," Growth and Change, Wiley Blackwell, vol. 52(1), pages 567-599, March.
    16. Tae-Hyoung Tommy Gim & Joonho Ko, 2017. "Maximum Likelihood and Firth Logistic Regression of the Pedestrian Route Choice," International Regional Science Review, , vol. 40(6), pages 616-637, November.
    17. O’Driscoll, Conor & Crowley, Frank & Doran, Justin & McCarthy, Nóirín, 2023. "Land-use mixing in Irish cities: Implications for sustainable development," Land Use Policy, Elsevier, vol. 128(C).
    18. Liang Guo & Shuo Yang & Yuqing Peng & Man Yuan, 2023. "Examining the Nonlinear Effects of Residential and Workplace-built Environments on Active Travel in Short-Distance: A Random Forest Approach," IJERPH, MDPI, vol. 20(3), pages 1-21, January.

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