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Title:

On Accommodating Spatial Dependence in Bicycle and Pedestrian Injury Counts by Severity Level

Accession Number:

01472415

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

This paper proposes a new spatial multivariate count model to jointly analyze the traffic crash-related counts of pedestrians and bicyclists by injury severity. The modeling framework is applied to predict injury counts at a Census tract level, based on crash data from Manhattan, New York. The results highlight the need to use a multivariate modeling system for the analysis of injury counts by road-user type and injury severity level, while also accommodating spatial dependence effects in injury counts.

Supplemental Notes:

This paper was sponsored by TRB committee ANF10 Pedestrians.

Monograph Accession #:

01470560

Report/Paper Numbers:

13-3967

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Narayanamoorthy, Sriram
Paleti, Rajesh
Bhat, Chandra R

ORCID 0000-0002-0715-8121

Pagination:

20p

Publication Date:

2013

Conference:

Transportation Research Board 92nd Annual Meeting

Location: Washington DC, United States
Date: 2013-1-13 to 2013-1-17
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

References; Tables

Geographic Terms:

Manhattan (New York, New York)

Subject Areas:

Highways; Pedestrians and Bicyclists; Safety and Human Factors; I72: Traffic and Transport Planning

Source Data:

Transportation Research Board Annual Meeting 2013 Paper #13-3967

Files:

TRIS, TRB, ATRI

Created Date:

Feb 5 2013 12:46PM