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Article
Extracting Arterial Access Density Impacts on Safety Performance Based on Clustering and Computational Analysis
Journal of Transportation Engineering, Part A: Systems
  • Cong Chen, University of South Florida
  • Qiong Wu, University of Hawaii at Manoa
  • Guohui Zhang, University of Hawaii at Manoa
  • Xiaoyue Cathy Liu, University of Utah
  • Panos D Prevedouros, University of South Florida
Document Type
Article
Publication Date
1-1-2018
Keywords
  • access density,
  • crash rate,
  • cluster analysis,
  • negative binomial model,
  • arterial safety
Digital Object Identifier (DOI)
https://doi.org/10.1061/JTEPBS.0000127
Abstract

Access density is defined as the number of accesses per unit length along an arterial. Numerous studies conducted in various regions have indicated that access density has a significant influence on crash occurrences and severities. However, these research findings tend to simplify the relationship between access density and crash attributes and overlook the distinctive local roadway geometric and traffic flow characteristics. This study was conducted to quantitatively understand the impacts of various access densities on the safety performance of major arterials in New Mexico. A cluster analysis and a negative binomial model have been used through computational analysis to investigate the relationship between access density and crash rate. The analysis results demonstrate the piecewise relationship and verify that access density imposes heterogeneous influences on crash rates given different access density ranges, and lower public and commercial access rates are associated with lower crash rates. The impacts of other access features, such as access usage type and median opening type, on crash rates are also investigated. The research findings are helpful to improve safety performance on major arterials in urban metropolitan areas.

Citation / Publisher Attribution

Journal of Transportation Engineering, Part A: Systems , v. 144, issue 4, art. 04018008

Citation Information
Cong Chen, Qiong Wu, Guohui Zhang, Xiaoyue Cathy Liu, et al.. "Extracting Arterial Access Density Impacts on Safety Performance Based on Clustering and Computational Analysis" Journal of Transportation Engineering, Part A: Systems Vol. 144 Iss. 4 (2018)
Available at: http://works.bepress.com/cong-chen/13/