Citation

Choi D, Ewing R. J. Transp. Geogr. 2021; 96: e103200.

Copyright

(Copyright © 2021, Elsevier Publishing)

DOI

10.1016/j.jtrangeo.2021.103200

PMID

unavailable

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.

Language: en

Keywords

Congestion; Propensity score matching; Road safety; Street connectivity; Street network