Evaluating urban accessibility: leveraging open-source data and analytics to overcome existing limitations (Record no. 11634)

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Personal name Logan, TM
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Title Evaluating urban accessibility: leveraging open-source data and analytics to overcome existing limitations
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Name of publisher, distributor, etc Sage,
Date of publication, distribution, etc 2019.
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Pages Vol 46, Issue 5, 2019,(897-913 p.)
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Summary, etc We revisit the standard methodology for evaluating proximity to urban services and recommend enhancements to address existing limitations. Existing approaches often simplify their measure of proximity by using large areal units and by imposing arbitrary distance thresholds. By doing so, these approaches risk overlooking vulnerable, access-poor populations – the very populations that such studies are often trying to identify. These limitations are primarily motivated by computational constraints. However, recent advances in computational power, open data, and open-source analytics permit high-resolution proximity analyses on large scales. Given the impetus for equitable accessibility in our communities, this is of fundamental importance for researchers and practitioners. In this paper, we present an approach that leverages these open source advances to (a) measure proximity using network distance at the building level, (b) estimate population at that level, and (c) present the resulting distributions so vulnerable populations can be identified. Using three cities and modes of transport, we demonstrate how the approach enhances existing measures and identifies service-poor populations where the previous methods fall short. The proximity results could be used alone, or as inputs to access metrics. Our collating of these components into an open source code provides opportunities for researchers and practitioners to explore fine-resolution, city-wide accessibility across multiple cities and the host of questions that follow.
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Subject Spatial accessibility,
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Subject proximity,
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Subject walking,
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Subject cycling,
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Subject health care,
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Subject green space,
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Subject food deserts
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Added Entry Personal Name Williams, TG
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Added Entry Personal Name Nisbet, AJ
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Added Entry Personal Name Liberman, KD
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Added Entry Personal Name Zuo, CT
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Added Entry Personal Name Guikema, SD
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Host Biblionumber 11590
Host Itemnumber 15512
Place, publisher, and date of publication Sage 2019.
Title Environment and Planning B: Urban Analytics and City Science
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Uniform Resource Identifier https://doi.org/10.1177/2399808317736528
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Koha item type Articles
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