Title
Managing Roadway Safety At The Traffic Analysis Zones Level
Keywords
Traffic analysis; Traffic safety
Abstract
This paper aims at managing safety at traffic analysis zones (TAZs) by investigating best sets of covariates for total, severe, peak hour, and pedestrian and bicycle-related crashes considering various types of trip productions and attractions in combination with roadway characteristics of the TAZs as explanatory variables. It is found that the severe crash model is the best fit by trip related predictors only; total crash and peak hour crash model are best fit for total trip attractions and total trip productions whereas pedestrian and bicycle related crash model is best described as road related predictors only. © 2011 ASCE.
Publication Date
9-9-2011
Publication Title
ICTIS 2011: Multimodal Approach to Sustained Transportation System Development - Information, Technology, Implementation - Proceedings of the 1st Int. Conf. on Transportation Information and Safety
Number of Pages
230-236
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1061/41177(415)29
Copyright Status
Unknown
Socpus ID
80052421349 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/80052421349
STARS Citation
Abdel-Aty, Mohamed; Siddiqui, Chowdhury; and Huang, Helai, "Managing Roadway Safety At The Traffic Analysis Zones Level" (2011). Scopus Export 2010-2014. 2847.
https://stars.library.ucf.edu/scopus2010/2847