Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/16741
Title: Modeling the Perceptions and Preferences of Pedestrians on Crossing Facilities
Authors: Guo, Hongwei
Zhao, Facheng
Wang, Wuhong
ZHOU, Yanlong 
Zhang, Yujie
WETS, Geert 
Issue Date: 2014
Source: DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2014, (ART N° 949475)
Abstract: Pedestrian’s street-crossing behaviour has a significant effect on traffic performance and safety. The crossing behaviour is determined by human factors and environmental factors. Aiming at examining the pedestrian perceptions toward crossing facilities and preferences for crossing locations, an observational study of pedestrian crossing behaviour at urban street is conducted. The perceptions and preferences of pedestrians are collected using stated preference technique. A specific questionnaire is designed to conduct the stated preference survey. A multinomial logit model is proposed to describe the perceptions and preferences of pedestrians on crossing facilities and locations. The sensitivity analysis is performed to discuss the influence of various factors on crossing behaviour. Then the relationship between crossing locations and crossing distances is analyzed by a new proposed method. With the theoretical analysis, the engineering solutions considering pedestrian behaviour are suggested. The results are helpful to design human-centered crossing facilities in urban traffic.
Document URI: http://hdl.handle.net/1942/16741
ISSN: 1026-0226
e-ISSN: 1607-887X
DOI: 10.1155/2014/949475
ISI #: 000332884100001
Rights: Copyright © 2014 Hongwei Guo et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Category: A1
Type: Journal Contribution
Validations: ecoom 2015
Appears in Collections:Research publications

Files in This Item:
File Description SizeFormat 
guo 1.pdfPublished version2.16 MBAdobe PDFView/Open
Show full item record

SCOPUSTM   
Citations

14
checked on Sep 3, 2020

WEB OF SCIENCETM
Citations

72
checked on Apr 30, 2024

Page view(s)

72
checked on Jul 15, 2022

Download(s)

120
checked on Jul 15, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.