Effect of street network design on traffic congestion and traffic safety

The authors examine the effects of street network design on congestion levels and crash rates in neighborhoods across Utah's Wasatch Front. They employ propensity score matching to select pairwise neighborhood samples that have other similar characteristics but differ greatly in street network design. The 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.

• Record URL:
  https://doi.org/10.1016/j.jtrangeo.2021.103200
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S0966692321002532
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/09666923
• Supplemental Notes:
  • © 2021 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Choi, Dong-ah
  • Ewing, Reid
• Publication Date: 2021-10

Language

• English

Media Info

• Media Type: Web
• Features: Maps; References; Tables;
• Serial:
  • Journal of Transport Geography
  • Volume: 96
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0966-6923
  • Serial URL: http://www.elsevier.com/locate/jtrangeo

Subject/Index Terms

• TRT Terms: Highway design; Highway safety; Neighborhoods; Networks; Streets; Traffic congestion
• Geographic Terms: Wasatch Front (Utah)
• Subject Areas: Design; Highways; Operations and Traffic Management; Safety and Human Factors;

Filing Info

• Accession Number: 01830424
• Record Type: Publication
• Files: TRIS
• Created Date: Dec 16 2021 4:08PM