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Title:

Associations Between Road Network Structure and Pedestrian-Bicyclist Accidents

Accession Number:

01477754

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

It is widely known that the road network layout can impact the non-motorized users’ traffic safety by changing the non-motorized traffic volume and road users’ behavior. Different road network patterns lead to different traffic safety levels for non-auto users and a single pattern can even have both the safe and unsafe features at the same time. By knowing what features can lead to safer traffic environment, existing road networks can be improved and new network patterns can be produced by combining all safe features from different patterns. Therefore, the associations between road network structure and pedestrian-bicyclist crashes are analyzed in this paper to determine how the structural features of a road network affect non-motorist safety. Three structural measures including average geodesic distance, network betweenness centrality, and overall clustering coefficient are calculated based on the road networks of 321 census tracts in Alameda County, California. Then the three measures together with other factors like traffic behavior, land use, transportation facility, and demographic features are employed separately in a spatial statistical model called geographically weighted regression. Conclusions are: if a network is more highly centered on major roads, there will be fewer non-motorist crashes; the network which has more average number of intersections between each pair of roads tends to have fewer accidents for pedestrians and bicyclists; and, the more a network is clustered into several sub-core networks, the lower the non-motorist crash count will be.

Supplemental Notes:

This paper was sponsored by TRB committee ANF20 Bicycle Transportation.

Monograph Accession #:

01470560

Report/Paper Numbers:

13-4316

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Zhang, Yuanyuan
Bigham, John
Li, Zhibin
Ragland, David

ORCID 0000-0002-8996-1320

Chen, Xiaohong

Pagination:

17p

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:

Figures; Maps; References; Tables

Uncontrolled Terms:

Road networks

Geographic Terms:

Alameda County (California)

Subject Areas:

Pedestrians and Bicyclists; Planning and Forecasting; Safety and Human Factors; I21: Planning of Transport Infrastructure; I82: Accidents and Transport Infrastructure

Source Data:

Transportation Research Board Annual Meeting 2013 Paper #13-4316

Files:

TRIS, TRB, ATRI

Created Date:

Feb 5 2013 12:50PM