Staff View: Are sociodemographic characteristics and attitude good predictors of speeding behavior among drivers on Malaysia federal roads?

Are sociodemographic characteristics and attitude good predictors of speeding behavior among drivers on Malaysia federal roads?

Objective: The increasing number of road crashes and fatalities on Malaysian federal roads is a cause for concern. The main causes of road crashes and fatalities on federal roads have been attributed to the speeding behavior among drivers. As such, this research investigates the possible predictors...

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Main Authors:	Mohamad, Farah Fazlinda, Abdullah, Ahmad Saifizul, Mohamad, Jamilah
Format:	Article
Published:	Taylor & Francis 2019
Subjects:	G Geography. Anthropology. Recreation TJ Mechanical engineering and machinery
Online Access:	http://eprints.um.edu.my/24016/ https://doi.org/10.1080/15389588.2019.1612057
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id	my.um.eprints.24016
record_format	eprints
spelling	my.um.eprints.240162020-03-12T01:59:02Z http://eprints.um.edu.my/24016/ Are sociodemographic characteristics and attitude good predictors of speeding behavior among drivers on Malaysia federal roads? Mohamad, Farah Fazlinda Abdullah, Ahmad Saifizul Mohamad, Jamilah G Geography. Anthropology. Recreation TJ Mechanical engineering and machinery Objective: The increasing number of road crashes and fatalities on Malaysian federal roads is a cause for concern. The main causes of road crashes and fatalities on federal roads have been attributed to the speeding behavior among drivers. As such, this research investigates the possible predictors from sociodemographic characteristics and attitudes in predicting speeding behavior among drivers on Malaysia federal roads. Methods: A face-to-face survey was conducted via purposive sampling on 300 drivers at rest areas at 6 crash hotspots on Malaysian federal roads. A set of questions related to speeding behavior was developed. The questionnaire consisted of 10 questions related to sociodemographic characteristics of the participants, 37 questions regarding attitudes toward speeding, and 1 question regarding speeding behavior. Subsequently, the sociodemographics were analyzed using binary logistic regression and the attitude variable was analyzed using factor analysis and binary logistic regression. Results: The findings from the sociodemographic data revealed that male gender, single/separated status, broad driving experience, crash experience, and leisure/vacation trip purposes emerged as significant predictors for speeding behavior. Additionally, the results of factor analysis for the attitude variable revealed 3 components: Affective, behavioral, and cognitive. These 3 components are originally derived from the ABC model of attitude (affective, behavioral, and cognitive) that was adapted in this study. Furthermore, the findings from binary logistic regression appeared consistent with the model assumption, signifying that behavioral aspects significantly influenced speeding behavior among drivers. Nevertheless, affective and cognitive components were insignificant predictors. Furthermore, strong agreement with speeding countermeasures was observed among the participants. Conclusion: In conclusion, sociodemographic characteristics and attitude have been proven to affect speeding behavior among drivers on Malaysian federal roads. The findings have important implications in designing driver risk profiles on federal roads to develop suitable countermeasures based on the 4E approach (engagement, education, enforcement, and engineering) to enhance road safety. © 2019, © 2019 Taylor & Francis Group, LLC. Taylor & Francis 2019 Article PeerReviewed Mohamad, Farah Fazlinda and Abdullah, Ahmad Saifizul and Mohamad, Jamilah (2019) Are sociodemographic characteristics and attitude good predictors of speeding behavior among drivers on Malaysia federal roads? Traffic Injury Prevention, 20 (5). pp. 478-483. ISSN 1538-9588 https://doi.org/10.1080/15389588.2019.1612057 doi:10.1080/15389588.2019.1612057
institution	Universiti Malaya
building	UM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaya
content_source	UM Research Repository
url_provider	http://eprints.um.edu.my/
topic	G Geography. Anthropology. Recreation TJ Mechanical engineering and machinery
spellingShingle	G Geography. Anthropology. Recreation TJ Mechanical engineering and machinery Mohamad, Farah Fazlinda Abdullah, Ahmad Saifizul Mohamad, Jamilah Are sociodemographic characteristics and attitude good predictors of speeding behavior among drivers on Malaysia federal roads?
description	Objective: The increasing number of road crashes and fatalities on Malaysian federal roads is a cause for concern. The main causes of road crashes and fatalities on federal roads have been attributed to the speeding behavior among drivers. As such, this research investigates the possible predictors from sociodemographic characteristics and attitudes in predicting speeding behavior among drivers on Malaysia federal roads. Methods: A face-to-face survey was conducted via purposive sampling on 300 drivers at rest areas at 6 crash hotspots on Malaysian federal roads. A set of questions related to speeding behavior was developed. The questionnaire consisted of 10 questions related to sociodemographic characteristics of the participants, 37 questions regarding attitudes toward speeding, and 1 question regarding speeding behavior. Subsequently, the sociodemographics were analyzed using binary logistic regression and the attitude variable was analyzed using factor analysis and binary logistic regression. Results: The findings from the sociodemographic data revealed that male gender, single/separated status, broad driving experience, crash experience, and leisure/vacation trip purposes emerged as significant predictors for speeding behavior. Additionally, the results of factor analysis for the attitude variable revealed 3 components: Affective, behavioral, and cognitive. These 3 components are originally derived from the ABC model of attitude (affective, behavioral, and cognitive) that was adapted in this study. Furthermore, the findings from binary logistic regression appeared consistent with the model assumption, signifying that behavioral aspects significantly influenced speeding behavior among drivers. Nevertheless, affective and cognitive components were insignificant predictors. Furthermore, strong agreement with speeding countermeasures was observed among the participants. Conclusion: In conclusion, sociodemographic characteristics and attitude have been proven to affect speeding behavior among drivers on Malaysian federal roads. The findings have important implications in designing driver risk profiles on federal roads to develop suitable countermeasures based on the 4E approach (engagement, education, enforcement, and engineering) to enhance road safety. © 2019, © 2019 Taylor & Francis Group, LLC.
format	Article
author	Mohamad, Farah Fazlinda Abdullah, Ahmad Saifizul Mohamad, Jamilah
author_facet	Mohamad, Farah Fazlinda Abdullah, Ahmad Saifizul Mohamad, Jamilah
author_sort	Mohamad, Farah Fazlinda
title	Are sociodemographic characteristics and attitude good predictors of speeding behavior among drivers on Malaysia federal roads?
title_short	Are sociodemographic characteristics and attitude good predictors of speeding behavior among drivers on Malaysia federal roads?
title_full	Are sociodemographic characteristics and attitude good predictors of speeding behavior among drivers on Malaysia federal roads?
title_fullStr	Are sociodemographic characteristics and attitude good predictors of speeding behavior among drivers on Malaysia federal roads?
title_full_unstemmed	Are sociodemographic characteristics and attitude good predictors of speeding behavior among drivers on Malaysia federal roads?
title_sort	are sociodemographic characteristics and attitude good predictors of speeding behavior among drivers on malaysia federal roads?
publisher	Taylor & Francis
publishDate	2019
url	http://eprints.um.edu.my/24016/ https://doi.org/10.1080/15389588.2019.1612057
_version_	1662755211395989504
score	13.211869

Are sociodemographic characteristics and attitude good predictors of speeding behavior among drivers on Malaysia federal roads?

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