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Exploring the Role of Socio-Economic and Built Environment Driving Factors in Shaping the Commuting Modal Share: A Path-Analysis-Based Approach

Author

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  • Boukarta Soufiane

    (Institut d’Architecture et d’Urbanisme (IAU), Université de Blida, Bilda, Algeria)

  • Berezowska-Azzag Ewa

    (Laboratoire, Ville, Urbanisme et Développement Durable (VUDD), Ecole Polytechnique d’Architecture et d’Urbanisme (EPAU), Algiers, Algeria)

Abstract

This paper explores the role of the built environment and socio-economic drivers in shaping the modal share of commuting. For this, we have identified through our literature review 67 potential variables categorised into two groups; the built environment and the households’ socio-economic characteristics. We have considered the city of Djelfa as a case study and used the questionnaire as a data collection tool. The questionnaire processing of the 700 questionnaires provided to the households allowed us to select 184 questionnaires for our analysis. The sensitivity analysis protocol is designed for two stages; (i) an exploratory stage, conducted by principal component analysis and bivariate correlation analysis; (ii) and a confirmatory stage conducted by a path analysis. The first step allowed us to hypothesise several causal pathways that could explain, directly or indirectly, the modal share of commuting. The results of the path analysis show that the modal shares of walking, private car and public transit are controlled by 13, 16 and 12 explanatory variables, respectively. Overall, the socio-economic characteristics of households discourage walking and transit use, and encourage private car commuting. On the other hand, the variables identified in this paper related to the built environment discourage walking, but encourage the use of public transit rather than private cars for commuting.

Suggested Citation

  • Boukarta Soufiane & Berezowska-Azzag Ewa, 2020. "Exploring the Role of Socio-Economic and Built Environment Driving Factors in Shaping the Commuting Modal Share: A Path-Analysis-Based Approach," Quaestiones Geographicae, Sciendo, vol. 39(4), pages 87-107, December.
    • Handle: RePEc:vrs:quageo:v:39:y:2020:i:4:p:87-107:n:4
    DOI: 10.2478/quageo-2020-0032
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    References listed on IDEAS

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    1. Yi Zhang & Wei Wu & Yuan Li & Qixing Liu & Chaoyang Li, 2014. "Does the Built Environment Make a Difference? An Investigation of Household Vehicle Use in Zhongshan Metropolitan Area, China," Sustainability, MDPI, vol. 6(8), pages 1-21, August.
    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. Cervero, Robert & Radisch, Carolyn, 1995. "Travel Choices in Pedestrian Versus Automobile Oriented Neighborhoods," University of California Transportation Center, Working Papers qt7cn9m1qz, University of California Transportation Center.
    4. Van Acker, Veronique & Witlox, Frank, 2010. "Car ownership as a mediating variable in car travel behaviour research using a structural equation modelling approach to identify its dual relationship," Journal of Transport Geography, Elsevier, vol. 18(1), pages 65-74.
    5. Khan, Mobashwir & M. Kockelman, Kara & Xiong, Xiaoxia, 2014. "Models for anticipating non-motorized travel choices, and the role of the built environment," Transport Policy, Elsevier, vol. 35(C), pages 117-126.
    6. Karathodorou, Niovi & Graham, Daniel J. & Noland, Robert B., 2010. "Estimating the effect of urban density on fuel demand," Energy Economics, Elsevier, vol. 32(1), pages 86-92, January.
    7. 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.
    8. Naess, Petter, 2014. "Tempest in a teapot: The exaggerated problem of transport-related residential self-selection as a source of error in empirical studies," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 7(3), pages 57-79.
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