Technical Papers
Mar 1, 2021

Identifying Priority Crosswalk Locations in Urban Road Networks

Publication: Journal of Urban Planning and Development
Volume 147, Issue 2

Abstract

Pedestrian crosswalks are not always placed at optimal locations, and some crosswalks cause walkers to detour from their shortest routes. Some walkers run the risk of jaywalking to avoid detours, and it becomes the cause of fatalities and serious injuries. However, it is not easy to find systematic procedures to identify preferred locations of pedestrian crossings at the network level from the pedestrian viewpoint. This study proposes a method for identifying high priority crosswalk locations in urban road networks by assessing measures such as total travel costs and network connectivity. The total travel costs were calculated using conventional shortest path algorithms and network connectivity was measured by employing a modified Dial's algorithm (1971). Application of the proposed method to a test network showed that total travel cost was a suitable metric to identify appropriate crosswalk locations and connectivity clarified priority among candidate crosswalks. The proposed method is useful to help plan better pedestrian environments in urban road networks by providing crossing locations in the viewpoint of pedestrians.

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Acknowledgments

The early draft of this paper was invited to an oral session of the 15th World Conference on Transport Research at Mumbai, India in May 2019.

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Go to Journal of Urban Planning and Development
Journal of Urban Planning and Development
Volume 147Issue 2June 2021

History

Received: Aug 29, 2019
Accepted: Dec 1, 2020
Published online: Mar 1, 2021
Published in print: Jun 1, 2021
Discussion open until: Aug 1, 2021

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Authors

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Sangjin Han [email protected]
Senior Research Fellow, Center for Transport Safety, Korea Transport Institute, Sejong 30147, South Korea. Email: [email protected]
Professor, Transportation Studies Group, Dept. of Environmental Planning, Seoul National Univ., Seoul 08826, South Korea (corresponding author). ORCID: https://orcid.org/0000-0001-8166-6258. Email: [email protected]

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