Identification of traffic and roadway variables affecting safe motorcycling along urban roads

In Malaysia, motorcycles represented 45% of all registered vehicles. Alarmingly, motorcyclists comprise 65% of total road deaths. One major reason being that these vulnerable road users get entangled with other mixed vehicles. It is appreciated that roadway design guidelines are based on the charact...

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Main Authors: Hamid, Hussain, Tan, Ai Ping, Law, Teik Hua, Wong, Shaw Voon
Format: Article
Language:English
Published: Society of Automotive Engineers Malaysia 2019
Online Access:http://psasir.upm.edu.my/id/eprint/80139/1/Identification%20of%20traffic%20and%20roadway%20variables%20affecting%20safe%20motorcycling%20along%20urban%20roads.pdf
http://psasir.upm.edu.my/id/eprint/80139/
http://jsaem.saemalaysia.org.my/index.php/jsaem/article/view/83
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spelling my.upm.eprints.801392020-09-24T08:35:53Z http://psasir.upm.edu.my/id/eprint/80139/ Identification of traffic and roadway variables affecting safe motorcycling along urban roads Hamid, Hussain Tan, Ai Ping Law, Teik Hua Wong, Shaw Voon In Malaysia, motorcycles represented 45% of all registered vehicles. Alarmingly, motorcyclists comprise 65% of total road deaths. One major reason being that these vulnerable road users get entangled with other mixed vehicles. It is appreciated that roadway design guidelines are based on the characteristics of drivers/automobiles and not riders/motorcycles. Thus, motorcyclists are expected to occupy the dynamically changing space that is available along the roadway. An effective engineering measure to tackle motorcycle safety problems in mixed traffic conditions would be to segregate the motorcycles exclusively. However, this measure is not appropriate for urban roads. One practical approach to address motorcycling safety along urban roads is to identify the traffic and road environment variables that affects safe motorcycling. This list of variables can be used to check the safe motorcycling status along segments of urban roads. The variables relating to bicyclist’s perception on the roadway segments were adopted for the variables affecting motorcycling safety along urban roads. To corroborate the adopted variables factors with the actual perception of motorcyclist, the questionnaires related to the variables affecting safe motorcycling were responded by 137 motorcyclists. The variables were identified to be pavement condition, on-street parking, traffic volume, divided/undivided roadway, left-side kerb clearance, lane width, and travelling speed. To further understand these seven variables from the aspect of motorcyclist perceptions, 14 short clips were presented to 483 motorcyclists who rated each clip based on their perception of safe motorcycling. Results found that the odds of feeling unsafe riding on bad pavement is 61.5 times greater than the odds of riding on good pavement. The odds of unsafe motorcycling along roads with on-street parking is 43.2 times higher than without on- street parking. Overall, it infers that the maintenance of road pavement conditions must be of high priority to the local authorities followed by issues of on-street parking along urban links. Society of Automotive Engineers Malaysia 2019 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/80139/1/Identification%20of%20traffic%20and%20roadway%20variables%20affecting%20safe%20motorcycling%20along%20urban%20roads.pdf Hamid, Hussain and Tan, Ai Ping and Law, Teik Hua and Wong, Shaw Voon (2019) Identification of traffic and roadway variables affecting safe motorcycling along urban roads. Journal of the Society of Automotive Engineers Malaysia, 3 (2). pp. 177-184. ISSN 2600-8092; ESSN: 2550-2239 http://jsaem.saemalaysia.org.my/index.php/jsaem/article/view/83
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description In Malaysia, motorcycles represented 45% of all registered vehicles. Alarmingly, motorcyclists comprise 65% of total road deaths. One major reason being that these vulnerable road users get entangled with other mixed vehicles. It is appreciated that roadway design guidelines are based on the characteristics of drivers/automobiles and not riders/motorcycles. Thus, motorcyclists are expected to occupy the dynamically changing space that is available along the roadway. An effective engineering measure to tackle motorcycle safety problems in mixed traffic conditions would be to segregate the motorcycles exclusively. However, this measure is not appropriate for urban roads. One practical approach to address motorcycling safety along urban roads is to identify the traffic and road environment variables that affects safe motorcycling. This list of variables can be used to check the safe motorcycling status along segments of urban roads. The variables relating to bicyclist’s perception on the roadway segments were adopted for the variables affecting motorcycling safety along urban roads. To corroborate the adopted variables factors with the actual perception of motorcyclist, the questionnaires related to the variables affecting safe motorcycling were responded by 137 motorcyclists. The variables were identified to be pavement condition, on-street parking, traffic volume, divided/undivided roadway, left-side kerb clearance, lane width, and travelling speed. To further understand these seven variables from the aspect of motorcyclist perceptions, 14 short clips were presented to 483 motorcyclists who rated each clip based on their perception of safe motorcycling. Results found that the odds of feeling unsafe riding on bad pavement is 61.5 times greater than the odds of riding on good pavement. The odds of unsafe motorcycling along roads with on-street parking is 43.2 times higher than without on- street parking. Overall, it infers that the maintenance of road pavement conditions must be of high priority to the local authorities followed by issues of on-street parking along urban links.
format Article
author Hamid, Hussain
Tan, Ai Ping
Law, Teik Hua
Wong, Shaw Voon
spellingShingle Hamid, Hussain
Tan, Ai Ping
Law, Teik Hua
Wong, Shaw Voon
Identification of traffic and roadway variables affecting safe motorcycling along urban roads
author_facet Hamid, Hussain
Tan, Ai Ping
Law, Teik Hua
Wong, Shaw Voon
author_sort Hamid, Hussain
title Identification of traffic and roadway variables affecting safe motorcycling along urban roads
title_short Identification of traffic and roadway variables affecting safe motorcycling along urban roads
title_full Identification of traffic and roadway variables affecting safe motorcycling along urban roads
title_fullStr Identification of traffic and roadway variables affecting safe motorcycling along urban roads
title_full_unstemmed Identification of traffic and roadway variables affecting safe motorcycling along urban roads
title_sort identification of traffic and roadway variables affecting safe motorcycling along urban roads
publisher Society of Automotive Engineers Malaysia
publishDate 2019
url http://psasir.upm.edu.my/id/eprint/80139/1/Identification%20of%20traffic%20and%20roadway%20variables%20affecting%20safe%20motorcycling%20along%20urban%20roads.pdf
http://psasir.upm.edu.my/id/eprint/80139/
http://jsaem.saemalaysia.org.my/index.php/jsaem/article/view/83
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score 13.18916