Modeling pedestrian gap crossing index under mixed traffic condition

There are a variety of challenges faced by pedestrians when they walk along and attempt to cross a road, as the most recorded accidents occur during this time. Pedestrians of all types, including both sexes with numerous aging groups, are always subjected to risk and are characterized as the most ex...

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Main Authors:	M.M., Naser, A., Zulkiple, Al bargi, W.A., Khalifa, N.A., Daniel, B.D.
Format:	Article
Language:	English English
Published:	Elsevier Ltd 2017
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/20422/ http://umpir.ump.edu.my/id/eprint/20422/ http://umpir.ump.edu.my/id/eprint/20422/ http://umpir.ump.edu.my/id/eprint/20422/1/Modeling%20Pedestrian%20Gap%20Crossing%20Index%20Under%20Mixed%20Traffic%20Condition.pdf http://umpir.ump.edu.my/id/eprint/20422/7/Modeling%20Pedestrian%20Gap%20Crossing%20Index%20Under%20Mixed%20Traffic%20Condition%201.pdf

id	ump-20422
recordtype	eprints
spelling	ump-204222018-08-01T04:12:57Z http://umpir.ump.edu.my/id/eprint/20422/ Modeling pedestrian gap crossing index under mixed traffic condition M.M., Naser A., Zulkiple Al bargi, W.A. Khalifa, N.A. Daniel, B.D. TA Engineering (General). Civil engineering (General) There are a variety of challenges faced by pedestrians when they walk along and attempt to cross a road, as the most recorded accidents occur during this time. Pedestrians of all types, including both sexes with numerous aging groups, are always subjected to risk and are characterized as the most exposed road users. The increased demand for better traffic management strategies to reduce the risks at intersections, improve quality traffic management, traffic volume, and longer cycle time has further increased concerns over the past decade.This paper aims to develop a sustainable pedestrian gap crossing index model based on traffic flow density. It focusses on the gaps accepted by pedestrians and their decision for street crossing, where (Log-Gap) logarithm of accepted gaps was used to optimize the result of a model for gap crossing behavior. Through a review of extant literature, 15 influential variables were extracted for further empirical analysis. Subsequently, data from the observation at an uncontrolled mid-block in Jalan Ampang in Kuala Lumpur, Malaysia was gathered and Multiple Linear Regression (MLR) and Binary Logit Model (BLM) techniques were employed to analyze the results.From the results, different pedestrian behavioral characteristics were considered for a minimum gap size model, out of which only a few (four) variables could explain the pedestrian road crossing behavior while the remaining variables have an insignificant effect. Among the different variables, age, rolling gap, vehicle type, and crossing were the most influential variables. The study concludes that pedestrians’ decision to cross the street depends on the pedestrian age, rolling gap, vehicle type, and size of traffic gap before crossing.The inferences from these models will be useful to increase pedestrian safety and performance evaluation of uncontrolled midblock road crossings in developing countries. Elsevier Ltd 2017-12 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/20422/1/Modeling%20Pedestrian%20Gap%20Crossing%20Index%20Under%20Mixed%20Traffic%20Condition.pdf pdf en http://umpir.ump.edu.my/id/eprint/20422/7/Modeling%20Pedestrian%20Gap%20Crossing%20Index%20Under%20Mixed%20Traffic%20Condition%201.pdf M.M., Naser and A., Zulkiple and Al bargi, W.A. and Khalifa, N.A. and Daniel, B.D. (2017) Modeling pedestrian gap crossing index under mixed traffic condition. Journal of Safety Research, 63. pp. 91-98. ISSN 0022-4375 https://doi.org/10.1016/j.jsr.2017.08.005 10.1016/j.jsr.2017.08.005
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	TA Engineering (General). Civil engineering (General)
spellingShingle	TA Engineering (General). Civil engineering (General) M.M., Naser A., Zulkiple Al bargi, W.A. Khalifa, N.A. Daniel, B.D. Modeling pedestrian gap crossing index under mixed traffic condition
description	There are a variety of challenges faced by pedestrians when they walk along and attempt to cross a road, as the most recorded accidents occur during this time. Pedestrians of all types, including both sexes with numerous aging groups, are always subjected to risk and are characterized as the most exposed road users. The increased demand for better traffic management strategies to reduce the risks at intersections, improve quality traffic management, traffic volume, and longer cycle time has further increased concerns over the past decade.This paper aims to develop a sustainable pedestrian gap crossing index model based on traffic flow density. It focusses on the gaps accepted by pedestrians and their decision for street crossing, where (Log-Gap) logarithm of accepted gaps was used to optimize the result of a model for gap crossing behavior. Through a review of extant literature, 15 influential variables were extracted for further empirical analysis. Subsequently, data from the observation at an uncontrolled mid-block in Jalan Ampang in Kuala Lumpur, Malaysia was gathered and Multiple Linear Regression (MLR) and Binary Logit Model (BLM) techniques were employed to analyze the results.From the results, different pedestrian behavioral characteristics were considered for a minimum gap size model, out of which only a few (four) variables could explain the pedestrian road crossing behavior while the remaining variables have an insignificant effect. Among the different variables, age, rolling gap, vehicle type, and crossing were the most influential variables. The study concludes that pedestrians’ decision to cross the street depends on the pedestrian age, rolling gap, vehicle type, and size of traffic gap before crossing.The inferences from these models will be useful to increase pedestrian safety and performance evaluation of uncontrolled midblock road crossings in developing countries.
format	Article
author	M.M., Naser A., Zulkiple Al bargi, W.A. Khalifa, N.A. Daniel, B.D.
author_facet	M.M., Naser A., Zulkiple Al bargi, W.A. Khalifa, N.A. Daniel, B.D.
author_sort	M.M., Naser
title	Modeling pedestrian gap crossing index under mixed traffic condition
title_short	Modeling pedestrian gap crossing index under mixed traffic condition
title_full	Modeling pedestrian gap crossing index under mixed traffic condition
title_fullStr	Modeling pedestrian gap crossing index under mixed traffic condition
title_full_unstemmed	Modeling pedestrian gap crossing index under mixed traffic condition
title_sort	modeling pedestrian gap crossing index under mixed traffic condition
publisher	Elsevier Ltd
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/20422/ http://umpir.ump.edu.my/id/eprint/20422/ http://umpir.ump.edu.my/id/eprint/20422/ http://umpir.ump.edu.my/id/eprint/20422/1/Modeling%20Pedestrian%20Gap%20Crossing%20Index%20Under%20Mixed%20Traffic%20Condition.pdf http://umpir.ump.edu.my/id/eprint/20422/7/Modeling%20Pedestrian%20Gap%20Crossing%20Index%20Under%20Mixed%20Traffic%20Condition%201.pdf
first_indexed	2023-09-18T22:29:25Z
last_indexed	2023-09-18T22:29:25Z
_version_	1777416185816547328

Modeling pedestrian gap crossing index under mixed traffic condition

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