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Title:

A Pedestrian Crash Prediction Model for Urban Signalized Intersections Case Study: The City of Isfahan, Iran

Accession Number:

01698209

Record Type:

Component

Abstract:

In this paper, in order to develop and valid ate a model of vehicle-pedestrian prediction crashes at urban signalized intersections, data are gathered and extracted for 212 crashes at 55 signalized intersections of the city of Isfahan for four years period (2013-2016). While the total number of crashes within 50 m of each intersection was considered as the dependent variable, road network characteristics, land use characteristics, demographic and socio-economic characteristics within 400 m of each the intersection were considered as independent variables. The correlation test was performed to diagnose a possible multi-collinearity between variables to eliminate variables which were correlated to each other. To model the frequency prediction of pedestrian crashes, a generalized linear model based on the negative binomial distribution was developed and validated. The results indicate that the number of legs, the average number of lanes of the intersection, population, and land use characteristics within 400 m of the intersection have a positive impact on the number of pedestrian crashes. Conversely, the number of pedestrian crashes decreases with an increase in the pedestrian volume, the presence of marked crosswalks, and public transport stops. In addition to prediction of the number of pedestrian crashes, this study can be useful since it provides insights for a better transportation policy-making and planning as well as engineering improvements to minimize pedestrian crashes in the city of Isfahan.

Supplemental Notes:

This paper was sponsored by TRB committee ANF10 Standing Committee on Pedestrians.

Report/Paper Numbers:

19-05602

Language:

English

Corporate Authors:

Transportation Research Board

Authors:

Ghadirifaraz, Bahador
Fotoohi, Mohammad Nader
Vaziri, Manouchehr
Beheshtitabar, Ehsan

Pagination:

12p

Publication Date:

2019

Conference:

Transportation Research Board 98th Annual Meeting

Location: Washington DC, United States
Date: 2019-1-13 to 2019-1-17
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; Maps; References (13) ; Tables

Geographic Terms:

Isfahan (Iran)

Subject Areas:

Highways; Pedestrians and Bicyclists; Safety and Human Factors

Source Data:

Transportation Research Board Annual Meeting 2019 Paper #19-05602

Files:

TRIS, TRB, ATRI

Created Date:

Dec 7 2018 9:48AM