A generalized framework for measuring pedestrian accessibility around the world using open data
Journal article
Liu, Shiqin, Higgs, Carl, Arundel, Jonathan, Boeing, Geoff, Cerdera, Nicholas, Moctezuma, David, Cerin, Ester, Adlakha, Deepti, Lowe, Melanie and Giles-Corti, Billie. (2022). A generalized framework for measuring pedestrian accessibility around the world using open data. Geographical Analysis. 54(3), pp. 559-582. https://doi.org/10.1111/gean.12290
Authors | Liu, Shiqin, Higgs, Carl, Arundel, Jonathan, Boeing, Geoff, Cerdera, Nicholas, Moctezuma, David, Cerin, Ester, Adlakha, Deepti, Lowe, Melanie and Giles-Corti, Billie |
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Abstract | Pedestrian accessibility is an important factor in urban transport and land use policy and critical for creating healthy, sustainable cities. Developing and evaluating indicators measuring inequalities in pedestrian accessibility can help planners and policymakers benchmark and monitor the progress of city planning interventions. However, measuring and assessing indicators of urban design and transport features at high resolution worldwide to enable city comparisons is challenging due to limited availability of official, high-quality, and comparable spatial data, as well as spatial analysis tools offering customizable frameworks for indicator construction and analysis. To address these challenges, this study develops an open source software framework to construct pedestrian accessibility indicators for cities using open and consistent data. It presents a generalized method to consistently measure pedestrian accessibility at high resolution and spatially aggregated scale, to allow for both within- and between-city analyses. The open source and open data methods developed in this study can be extended to other cities worldwide to support local planning and policymaking. The software is made publicly available for reuse in an open repository. |
Year | 2022 |
Journal | Geographical Analysis |
Journal citation | 54 (3), pp. 559-582 |
Publisher | Wiley-Blackwell Publishing, Inc. |
ISSN | 0016-7363 |
Digital Object Identifier (DOI) | https://doi.org/10.1111/gean.12290 |
Scopus EID | 2-s2.0-85106206972 |
Open access | Published as green open access |
Page range | 559-582 |
Author's accepted manuscript | License All rights reserved File Access Level Open |
Publisher's version | License All rights reserved File Access Level Controlled |
Output status | Published |
Publication dates | |
Online | 19 May 2021 |
Publication process dates | |
Accepted | 16 Apr 2021 |
Deposited | 10 Jan 2022 |
https://acuresearchbank.acu.edu.au/item/8x43z/a-generalized-framework-for-measuring-pedestrian-accessibility-around-the-world-using-open-data
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Author's accepted manuscript
AM_Liu_2021_A_generalized_framework_for_measuring_pedestrian.pdf | |
License: All rights reserved | |
File access level: Open |
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