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A GIS-based, microscale walkability assessment integrating the local topography

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  • Rahman, Ashikur

Abstract

This research sets an example of how large-scale walkability indices can be transformed into microscale walkability indices through a systematic evaluation of the different local components of the built environment. A Geographic Information System (GIS)-based qualitative scoring system of 15 micro-variables is developed to assess the walkability performances of the urban streets. Furthermore, the proposed microscale walkability index has been validated against real-world pedestrian surveys. The study also devises a method of quantifying the topographic variation within the catchments of urban streets and eventually, estimating its adverse impact on walkability. The City of Sydney area of Sydney, Australia is selected as the case study for its varying topography and availability of relevant data. The research is the first of its kind for incorporating the distinctive topography of Australian urban areas in the analysis of microscale walkability.

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  • Rahman, Ashikur, 2022. "A GIS-based, microscale walkability assessment integrating the local topography," Journal of Transport Geography, Elsevier, vol. 103(C).
    • Handle: RePEc:eee:jotrge:v:103:y:2022:i:c:s0966692322001284
    DOI: 10.1016/j.jtrangeo.2022.103405
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    References listed on IDEAS

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    1. 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.
    2. D'Orso, Gabriele & Migliore, Marco, 2020. "A GIS-based method for evaluating the walkability of a pedestrian environment and prioritised investments," Journal of Transport Geography, Elsevier, vol. 82(C).
    3. Delso, Javier & Martín, Belén & Ortega, Emilio, 2018. "A new procedure using network analysis and kernel density estimations to evaluate the effect of urban configurations on pedestrian mobility. The case study of Vitoria –Gasteiz," Journal of Transport Geography, Elsevier, vol. 67(C), pages 61-72.
    4. Daniels, Rhonda & Mulley, Corinne, 2013. "Explaining walking distance to public transport: The dominance of public transport supply," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 6(2), pages 5-20.
    5. Tarek Al Shammas & Francisco Escobar, 2019. "Comfort and Time-Based Walkability Index Design: A GIS-Based Proposal," IJERPH, MDPI, vol. 16(16), pages 1-22, August.
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    Cited by:

    1. Bartzokas-Tsiompras, Alexandros & Bakogiannis, Efthimios & Nikitas, Alexandros, 2023. "Global microscale walkability ratings and rankings: A novel composite indicator for 59 European city centres," Journal of Transport Geography, Elsevier, vol. 111(C).
    2. Gen Hayauchi & Ryo Ariyoshi & Takayuki Morikawa & Fumihiko Nakamura, 2023. "Assessment of the Improvement of Public Transport in Hillside Cities Considering the Impact of Topography on Walking Choices," Sustainability, MDPI, vol. 15(12), pages 1-12, June.

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