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Barrier Effect in a Medium-Sized Brazilian City: An Exploratory Analysis Using Decision Trees and Random Forests

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  • Mylena Cristine Rodrigues de Jesus

    (Department of Transportation Engineering, São Carlos School of Engineering of the University of Sao Paulo, São Carlos 13566-590, Brazil)

  • Antônio Nélson Rodrigues da Silva

    (Department of Transportation Engineering, São Carlos School of Engineering of the University of Sao Paulo, São Carlos 13566-590, Brazil)

Abstract

This study aims to examine if an urban road with intense motorized traffic in a medium-sized Brazilian city constitutes a barrier for walking trips. A questionnaire was conducted with 103 individuals in an area up to 800 m from the road selected for the study to obtain information about personal characteristics (age, income, etc.), social interactions in the neighborhood, and travel and mobility characteristics. We used the dataset to explore the potential of Decision Tree and Random Forest classification models to predict the users’ perception of the barrier effect, which was characterized by the dependent variables speed and volume (of motorized traffic). For 36.9% and 47.6% of respondents, traffic speed and traffic volume, respectively, represent a barrier to walking. The results also show that the following variables considerably affect the perception of the barrier effect of the respondents: distance from their residence to the studied road, time living at the address and in the study area, social connections in the neighborhood, and the street reported as the busiest one in the neighborhood. Identifying the variables with the largest influence on the perception of the barrier effect may be very useful for planning and policy initiatives.

Suggested Citation

  • Mylena Cristine Rodrigues de Jesus & Antônio Nélson Rodrigues da Silva, 2022. "Barrier Effect in a Medium-Sized Brazilian City: An Exploratory Analysis Using Decision Trees and Random Forests," Sustainability, MDPI, vol. 14(10), pages 1-18, May.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:10:p:6309-:d:821162
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    References listed on IDEAS

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    1. Nimegeer, Amy & Thomson, Hilary & Foley, Louise & Hilton, Shona & Crawford, Fiona & Ogilvie, David, 2018. "Experiences of connectivity and severance in the wake of a new motorway: Implications for health and well-being," Social Science & Medicine, Elsevier, vol. 197(C), pages 78-86.
    2. Nils Soguel, 1995. "Costing the traffic barrier effect: A contingent valuation survey," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 6(3), pages 301-308, October.
    3. Mindell, Jennifer S. & Anciaes, Paulo R. & Dhanani, Ashley & Stockton, Jemima & Jones, Peter & Haklay, Muki & Groce, Nora & Scholes, Shaun & Vaughan, Laura, 2017. "Using triangulation to assess a suite of tools to measure community severance," Journal of Transport Geography, Elsevier, vol. 60(C), pages 119-129.
    4. Anciaes, Paulo & Jones, Peter, 2020. "A comprehensive approach for the appraisal of the barrier effect of roads on pedestrians," Transportation Research Part A: Policy and Practice, Elsevier, vol. 134(C), pages 227-250.
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    Cited by:

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