A Generalized Framework for Measuring Pedestrian Accessibility around
the World Using Open Data
- URL: http://arxiv.org/abs/2105.08814v1
- Date: Tue, 18 May 2021 20:22:58 GMT
- Title: A Generalized Framework for Measuring Pedestrian Accessibility around
the World Using Open Data
- Authors: Shiqin Liu, Carl Higgs, Jonathan Arundel, Geoff Boeing, Nicholas
Cerdera, David Moctezuma, Ester Cerin, Deepti Adlakha, Melanie Lowe, and
Billie Giles-Corti
- Abstract summary: This study develops an open source software framework to construct pedestrian accessibility indicators for cities using open and consistent data.
The software is made publicly available for reuse in an open repository.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- 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.
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