Extracting Arterial Access Density Impacts on Safety Performance Based on Clustering and Computational Analysis
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.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/24732907
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Supplemental Notes:
- © 2018 American Society of Civil Engineers.
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Authors:
- Chen, Cong
- Wu, Qiong
- Zhang, Guohui
- Liu, Xiaoyue Cathy
- Prevedouros, Panos D
- Publication Date: 2018-4
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: 04018008
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Serial:
- Journal of Transportation Engineering, Part A: Systems
- Volume: 144
- Issue Number: 4
- Publisher: American Society of Civil Engineers
- ISSN: 2473-2907
- EISSN: 2473-2893
- Serial URL: http://ascelibrary.org/journal/jtepbs
Subject/Index Terms
- TRT Terms: Access control (Transportation); Arterial highways; Binomial distributions; Cluster analysis; Computer models; Crash causes; Crash rates; Highway safety; Metropolitan areas; Traffic crashes; Urban areas
- Uncontrolled Terms: Negative binomial models
- Geographic Terms: New Mexico
- Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; Safety and Human Factors;
Filing Info
- Accession Number: 01663852
- Record Type: Publication
- Files: TRIS, ASCE
- Created Date: Mar 22 2018 12:03PM