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Title:

Evaluation of Surrogate Measures for Pedestrian Exposure to Traffic Crashes at Intersections

Accession Number:

01623109

Record Type:

Component

Abstract:

Pedestrians are considered as the most vulnerable road users who are directly exposed to traffic crashes. With a view to addressing the growing concern of pedestrian safety, Federal and local governments aim at reducing pedestrian-involved crashes. Nevertheless, pedestrian volume data are rarely available even though they are the most important data to explore pedestrian safety. Thus,this study aims at identifying surrogate measures for pedestrian exposure to traffic at intersections. A two-step process is implemented: the first step is the development of Tobit and generalized linear models for predicting pedestrian trips(i.e., exposure models). In the second step, negative binomial and zero inflated negative binomial models were developed for pedestrian crashes using the predicted pedestrian trips. The results indicate that among various exposure models the Tobit model performs the best in describing pedestrian exposure. The identified exposure factors are the presence of school, car-ownership, pavement condition, sidewalk width, bus ridership, intersection control type and presence of sidewalk barrier. It was also found that the negative binomial model with the predicted pedestrian trips and that with the observed pedestrian trips perform equally well for estimating pedestrian crashes.Also, the Wilcoxon signed-rank test result shows that there is no significant difference between the observed and the predicted pedestrian trips.It is expected that the methodologies using predicted pedestrian trips or directly including pedestrian surrogate exposure variables can estimate reliable safety performance functions for pedestrian crashes even though when pedestrian trip data is not available.

Supplemental Notes:

This paper was sponsored by TRB committee ANB20 Standing Committee on Safety Data, Analysis and Evaluation.

Monograph Accession #:

01618707

Report/Paper Numbers:

17-03402

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Shah, Md Imran
Abdel-Aty, Mohamed
Lee, Jaeyoung

Pagination:

15p

Publication Date:

2017

Conference:

Transportation Research Board 96th Annual Meeting

Location: Washington DC, United States
Date: 2017-1-8 to 2017-1-12
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

References; Tables

Subject Areas:

Pedestrians and Bicyclists; Planning and Forecasting; Safety and Human Factors

Source Data:

Transportation Research Board Annual Meeting 2017 Paper #17-03402

Files:

TRIS, TRB, ATRI

Created Date:

Dec 8 2016 11:16AM