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.
Managing Roadway Safety at the Traffic Analysis Zones Level
First International Conference on Transportation Information and Safety (ICTIS) ; 2011 ; Wuhan, China
ICTIS 2011 ; 230-236
2011-06-16
Conference paper
Electronic Resource
English
Integrating Trip and Roadway Characteristics to Manage Safety in Traffic Analysis Zones
Online Contents | 2011
|Integrating Trip and Roadway Characteristics to Manage Safety in Traffic Analysis Zones
Transportation Research Record | 2011
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