Effect of street network design on traffic congestion and traffic safety |
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| Affiliation: | 1. School of Urban & Regional Planning, Ryerson University, Toronto, ON M5B1Y3, Canada;2. TransLAB (Transportation Research Lab), School of Earth, Environment & Society, McMaster University Hamilton, ON L8S4K1, Canada;1. Department of Urban Planning and Design, The University of Hong Kong, Hong Kong SAR, China;2. Key Laboratory of Virtual Geographic Environment (Ministry of Education of PRC), Nanjing Normal University, Nanjing, China;3. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing, China |
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| Abstract: | We examine the effects of street network design on congestion levels and crash rates in neighborhoods across Utah's Wasatch Front. We employ propensity score matching to select pairwise neighborhood samples that have other similar characteristics but differ greatly in street network design. Our results show that denser and more connected neighborhoods have significantly lower congestion levels, but they do not have measurably lower (or higher) crash rates, presumably due to the prevalence of four-way intersections. This study can help guide data-driven decision making on street network design standards for many of the growing urban areas across the country and globe. |
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