01657988

Component

The focus of this paper is two-fold - 1) to research and identify factors that influence pedestrian safety at intersections within the vicinity of light rail transit (LRT) stations, and, 2) to examine the change in crash patterns at these intersections before and after the operation of LRT service. Pedestrian crashes at 71 randomly selected intersections, within a vicinity of 0.25 miles (402 m) for fifteen LRT stations in Charlotte, North Carolina, were analyzed to determine the factors associated with pedestrian safety at intersections near LRT stations. Geographical Information System (GIS) software was used to overlay shapefiles related to pedestrian crash data, road network, and intersection characteristics on buffers around the selected intersections to capture data and conduct analysis. Generalized linear pedestrian crash estimation model (based on negative binomial distribution) was developed and validated to determine the relationship between road network characteristics and pedestrian crashes at the intersections near LRT stations. Speed limit, the number of bus stops and pedestrian signal were identified as statistically significant predictor variables that influence pedestrian safety at the intersections near LRT stations.

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

18-05593

English

15p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

Figures; References; Tables

Before and after studies; Estimation theory; Geographic information systems; Intersections; Light rail transit; Mathematical models; Pedestrian vehicle crashes; Rail transit stations

Charlotte (North Carolina)

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

Transportation Research Board Annual Meeting 2018 Paper #18-05593

TRIS, TRB, ATRI

Jan 8 2018 11:25AM