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Crossing behaviour of pedestrians along urban streets in Malaysia

Al bargi, Walid A. and David Daniel, Basil and Prasetijo, Joewono and Md Rohani, Munzilah and Mohamad Nor, Siti Naquiyah (2016) Crossing behaviour of pedestrians along urban streets in Malaysia. In: International Symposium on Civil and Environmental Engineering (ISCEE) 2016, 5-6 December 2016, Novotel, Melaka.

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Abstract

Road crossings are considered as an unavoidable part of walking in which the desirable route of pedestrians interacts with vehicles. These interactions may expose the pedestrians to risks or delays. In Malaysia, road accident statistics show that pedestrian casualties are fairly high. Inappropriate gap acceptance when pedestrians cross roads is a main contributing element to this situation. In this context, the purpose of this study was to develop realistic models for pedestrian road crossing behaviour using the regression technique for mid-block street crossing. A choice model was produced to capture the decision making process of pedestrians whereas rejected or accepted vehicular gaps was based on the discrete choice theory. Gap acceptance data under real mix traffic conditions was collected using video camera on a typical unsignalised two lane one way urban street section in the city center of Kuala Lumpur, Malaysia. The lognormal regression model developed for the crossing behaviour model shows that traffic speed, pedestrian waiting time, gender, crossing distance, age group, frequency of attempts and pedestrian number are the significant factors which are able to predict 77.0% of variance or changes in accepted gap size at 0.05 significance level. Higher traffic speed, lower waiting time, being a male, wider crossing distance, older age group, lower frequency of attempts and higher number of pedestrian were found to influence pedestrians to accept a bigger gap size. The binary logistic regression developed for the crossing choice model was found to be influenced by traffic speed, driver yield, pedestrian number and age group. Furthermore, lower traffic speed, willingness of drivers to slow down, more pedestrian crossings at the same time and a younger age group lead to a higher chance or probability of crossing roads. The model was validated again using 100 isolated samples and an accuracy of 98% was obtained compared to the calibrated model which yielded an accuracy of 98.9%.

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > TE Highway engineering. Roads and pavements
Divisions: Faculty of Civil and Environmental Engineering > Department of Infrastructure and Geomatic Engineering
Depositing User: Mr. Mohammad Shaifulrip Ithnin
Date Deposited: 19 Sep 2018 05:42
Last Modified: 19 Sep 2018 05:42
URI: http://eprints.uthm.edu.my/id/eprint/10377
Statistic Details: View Download Statistic

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