Literature DB >> 25662881

Pedestrian temporal and spatial gap acceptance at mid-block street crossing in developing world.

Digvijay S Pawar1, Gopal R Patil2.   

Abstract

INTRODUCTION: Most of the midblock pedestrian crossings on urban roads in India are uncontrolled; wherein the high degree of discretion in pedestrians' behavior while crossing the traffic stream, has made the situation complex to analyze. Vehicles do not yield to pedestrians, even though the traffic laws give priority to pedestrians over motorized vehicles at unsignalized pedestrian crossings. Therefore, a pedestrian has to decide if an available gap is safe or not for crossing.
METHOD: This paper aims to investigate pedestrian temporal and spatial gap acceptance for midblock street crossings. Field data were collected using video camera at two midblock pedestrian crossings. The data extraction in laboratory resulted in 1107 pedestrian gaps. Available gaps, pedestrians' decision, traffic volume, etc. were extracted from the videos. While crossing a road with multiple lanes, rolling gap acceptance behavior was observed. Using binary logit analysis, six utility models were developed, three each for temporal and spatial gaps. RESULTS AND
CONCLUSIONS: The 50th percentile temporal and spatial gaps ranged from 4.1 to 4.8s and 67 to 79 m respectively, whereas the 85th percentile temporal and spatial gaps ranged from 5 to 5.8s and 82 to 95 m respectively. These gap values were smaller than that reported in the studies in developed countries. The speed of conflicting vehicle was found to be significant in spatial gap but not in temporal gap acceptance. The gap acceptance decision was also found to be affected by the type of conflicting vehicles. PRACTICAL APPLICATIONS: The insights from this study can be used for the safety and performance evaluation of uncontrolled midblock street crossings in developing countries.
Copyright © 2014 Elsevier Ltd and National Safety Council. All rights reserved.

Keywords:  Gap acceptance; Logit model; Pedestrians midblock crossings; Spatial gap; Temporal gap

Mesh:

Year:  2014        PMID: 25662881     DOI: 10.1016/j.jsr.2014.12.006

Source DB:  PubMed          Journal:  J Safety Res        ISSN: 0022-4375


  4 in total

1.  Analysis of the Effect of Human-Machine Co-Driving Vehicle on Pedestrian Crossing Speed at Uncontrolled Mid-Block Road Sections: A VR-Based Case Study.

Authors:  Kun Wang; Liang Xu; Han Jiang
Journal:  Int J Environ Res Public Health       Date:  2022-06-12       Impact factor: 4.614

2.  Vehicle yielding probability estimation model at unsignalized midblock crosswalks in Shanghai, China.

Authors:  Jairus Odawa Malenje; Jing Zhao; Peng Li; Yin Han
Journal:  PLoS One       Date:  2019-03-14       Impact factor: 3.240

3.  Analysis of Pedestrian Street-Crossing Decision-Making Based on Vehicle Deceleration-Safety Gap.

Authors:  Hongjia Zhang; Yingshi Guo; Yunxing Chen; Qinyu Sun; Chang Wang
Journal:  Int J Environ Res Public Health       Date:  2020-12-10       Impact factor: 3.390

4.  Cultural influence of social information use in pedestrian road-crossing behaviours.

Authors:  Marie Pelé; Caroline Bellut; Elise Debergue; Charlotte Gauvin; Anne Jeanneret; Thibault Leclere; Lucie Nicolas; Florence Pontier; Diorne Zausa; Cédric Sueur
Journal:  R Soc Open Sci       Date:  2017-02-15       Impact factor: 2.963

  4 in total

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