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Modelling the Pedestrian Speed at Signalised Intersection Crosswalks for Heterogeneous Traffic Conditions

Authors :
Ankit Bansal
Tripta Goyal
Umesh Sharma
Source :
Promet (Zagreb), Vol 31, Iss 6, Pp 681-692 (2019)
Publication Year :
2019
Publisher :
University of Zagreb, Faculty of Transport and Traffic Sciences, 2019.

Abstract

Pedestrian crossing speed is the key element in the design of pedestrian facilities. It depends on various attributes related to road, traffic and pedestrians. In this paper, an attempt has been made to explore the variation, examine the influencing factors and formulate a model for the pedestrian crossing speed at signalised intersection crosswalks. The data have been collected using video graphic technique at 16 signalised crosswalks of the Chandigarh city. The findings reveal that a 15th percentile crossing speed (1.11-1.31 m/s) exceeds the design crossing speed of 0.95 m/s. It is also higher than the crossing speed of 1.2 m/s, usually being prescribed and adopted in the developed countries. The statistical analysis indicates no significant difference in the percentile crossing speeds between males and females. However, the variation exists among different age groups, group sizes, and crossing patterns. The correlation analysis depicts that the pedestrian crossing speed has significant negative correlation with the crosswalk width, the crosswalk length, the width of the pedestrian island, the classification of road, average traffic flow and average pedestrian delay, whereas the availability of separate bicycle paths at intersections is positively correlated. Furthermore, the stepwise regression model with 70.1 percent accuracy reveals that the crosswalk width, the width of the pedestrian island and the average pedestrian delay play a predominant role in determining the pedestrian crossing speed. The authors propose the usage of the developed model for setting out the standards for the appropriate design crossing speed for different crosswalks having similar geometric and traffic conditions as that of the study area.

Details

Language :
English
ISSN :
03535320 and 18484069
Volume :
31
Issue :
6
Database :
Directory of Open Access Journals
Journal :
Promet (Zagreb)
Publication Type :
Academic Journal
Accession number :
edsdoj.508adf50acbe49ba9290627b203e9df2
Document Type :
article
Full Text :
https://doi.org/10.7307/ptt.v31i6.3299