Green driver: Driving behaviors revisited on safety

作     者：Muslim, Nurul Hidayah Binti Shafaghat, Arezou Keyvanfar, Ali Ismail, Mohammad 

作者机构：Faculty of Civil Engineering Universiti Teknologi Malaysia Skudai Johor Malaysia MIT-UTM MSCP Program Institute Sultan Iskandar Universiti Teknologi Malaysia Skudai Malaysia Department of Landscape Architecture Faculty of Built Environment Universiti Teknologi Malaysia Skudai Johor Malaysia Facultad de Arquitectura y Urbanismo Universidad Tecnológica Equinoccial Calle Rumipamba s/n y Bourgeois Quito Ecuador Center for Energy Research Jacobs School of Engineering University of California San Diego United States 

出 版 物：《Archives of Transport》 (Arch. Transp.)

年 卷 期：2018年第46卷第3期

页      面：49-78页

核心收录：

学科分类：0303[法学-社会学] 0710[理学-生物学] 1202[管理学-工商管理] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 0837[工学-安全科学与工程] 0836[工学-生物工程] 0823[工学-交通运输工程] 082301[工学-道路与铁道工程] 

基　　金：The authors would like to thank the Malaysia Ministry of Science  Technology  Innovation (MOSTI) grant vote no. R.J130000.7922.4S123 

主　　题：Roads and streets 

摘      要：Interactions between road users, motor vehicles, and environment affect to driver’s travel behavior;however, frailer of proper interaction may lead to ever-increasing road crashes, injuries and fatalities. The current study has generated the green driver concept to evaluate the incorporation of green driver to negative outcomes reduction of road transportation. The study aimed to identify the green driver’s behaviors affecting safe traveling by engaging two research phases. Phase one was to identify the safe driving behaviors using Systematic literature review and Content Analysis methods. Phase one identified twenty-four (24) sub-factors under reckless driving behaviors cluster, and nineteen (19) sub-factors under safe driving practice cluster. Second phase was to establish the actual weight value of the sub-factors using Grounded Group Decision Making (GGDM) and Value Assignment (VA) methods, in order to determine the value impact of each sub-factor to green driving. Phase two resulted that sub-factors Exceeding speed limits (DB f2.2.) and Driver’s cognitive and motor skills (SD f1.2.2.) have received highest actual values, 0.64 and 0.49, respectively;ranked as the High contributor grade. Contrary, the sub-factors Age cognitive decline (DB f1.2.) and Competitive attitude (DB f1.2.), and Avoid gear snatching (SD f1.1.4.) have the lowest actual values;and ranked in low-contribution grade. The rest of the sub-factors have ranked in medium-contribution grade. The research also found out drivers’ personalities (included, physical and psychological characteristics) remains unaccountable and non-measureable yet in driver travel behavior assessment models. The study outputs would be used in development of Green Driver Index Assessment Model. © Warsaw University of Technology. All rights reserved.