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Journal of Advanced Transportation
Volume 2019, Article ID 9072358, 15 pages
https://doi.org/10.1155/2019/9072358
Research Article

Identifying High-Risk Intersections for Walking and Bicycling Using Multiple Data Sources in the City of San Diego

1Civil, Construction, and Environmental Engineering, San Diego State University, 5500 Campanile Dr, San Diego, CA 92182, USA
2Texas A&M Transportation Institute, 505 E. Huntland Dr., Austin, TX 78752, USA
3Virginia Tech Transportation Institute, 3500 Transportation Research Plaza, Blacksburg, VA 24061, USA
4School of Public Affairs, San Diego State University, 5500 Campanile Dr, San Diego, CA 92182, USA
5Texas A&M Transportation Institute, 3135 TAMU, College Station, TX 77843, USA

Correspondence should be addressed to Arash Jahangiri; ude.usds@irignahaja

Received 1 January 2019; Revised 30 March 2019; Accepted 16 May 2019; Published 16 June 2019

Guest Editor: Milad Haghani

Copyright © 2019 Mahdie Hasani et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Mahdie Hasani, Arash Jahangiri, Ipek Nese Sener, et al., “Identifying High-Risk Intersections for Walking and Bicycling Using Multiple Data Sources in the City of San Diego,” Journal of Advanced Transportation, vol. 2019, Article ID 9072358, 15 pages, 2019. https://doi.org/10.1155/2019/9072358.