Driver behaviour and traffic accident involvement among professional heavy semi-trailer truck drivers in China

被引：11
作者：
Han, Wanli [1 ,2 ]
Zhao, Jianyou [3 ]
Chang, Ying [1 ]
机构：
[1] Shanghai Urban Operat Grp Co Ltd, Shanghai, Peoples R China
[2] Changan Univ, Coll Transportat Engn, Xian, Shaanxi, Peoples R China
[3] Changan Univ, Sch Automobile, Xian, Shaanxi, Peoples R China
来源：
PLOS ONE | 2021年 / 16卷 / 12期
关键词：
ABERRANT DRIVING BEHAVIORS; VIOLATIONS; ERRORS; QUESTIONNAIRE; DBQ; PERSONALITY; VALIDATION; FATIGUE; GOODS; ROADS;
D O I：
10.1371/journal.pone.0260217
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
The purpose of this study was to develop a driving behavior scale for professional drivers of heavy semi-trailer trucks in China, and study the causes of such driving behavior and its impact on traffic safety operation. Data was processed by IBM SPSS 25. In addition to principal component analysis, Promax rotation, Bartlett's test, Cronbach's alpha, correlation analysis and binary logistic regression were examined. A DBQ with 4 dimensions and 20 items, and a PDBQ with 1 dimension and 6 items were developed for professional drivers of heavy semi-trailer trucks in China. The KMO coefficients of PDBQ and DBQ were 0.822 and 0.852, respectively, and the significant level of Bartlett's popularity test was p < 0.0001. The accident prediction model showed that the variables related to traffic accidents were negligence/lapses and driving time of heavy semi-trailer truck drivers. 1-5 a.m. was found to be the most dangerous period for drivers of medium and heavy semi-trailer trucks, during which accidents were most likely to happen. As negligence/lapses increased by one unit, the probability of traffic accidents increased by 2.293 times.
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页数：11
相关论文
共 29 条
  • [1] Dimensions of aberrant driver behaviour
    Aberg, L
    Rimmo, PA
    [J]. ERGONOMICS, 1998, 41 (01) : 39 - 56
  • [2] The Driver Behaviour Questionnaire as accident predictor; A methodological re-meta-analysis
    af Wahlberg, A. E.
    Barraclough, P.
    Freeman, J.
    [J]. JOURNAL OF SAFETY RESEARCH, 2015, 55 : 185 - 212
  • [3] [Anonymous], 2002, Transportation Research Part F, DOI DOI 10.1016/S1369-8478(02)00019-0
  • [4] [Anonymous], 1999, BEHAV RES ROAD SAFET
  • [5] Personality domains and traits that predict self-reported aberrant driving behaviours in a southeastern US university sample
    Beanland, Vanessa
    Sellbom, Martin
    Johnson, Alexandria K.
    [J]. ACCIDENT ANALYSIS AND PREVENTION, 2014, 72 : 184 - 192
  • [6] Traffic climate, driver behaviour, and accidents involvement in China
    Chu, Wenhui
    Wu, Chaozhong
    Atombo, Charles
    Zhang, Hui
    Ozkan, Turker
    [J]. ACCIDENT ANALYSIS AND PREVENTION, 2019, 122 : 119 - 126
  • [7] Modernization of the Driver Behaviour Questionnaire
    Cordazzo, Sheila T. D.
    Scialfa, Charles T.
    Ross, Rachel Jones
    [J]. ACCIDENT ANALYSIS AND PREVENTION, 2016, 87 : 83 - 91
  • [8] The Driver Behaviour Questionnaire as a predictor of accidents: A meta-analysis
    de Winter, J. C. F.
    Dodou, D.
    [J]. JOURNAL OF SAFETY RESEARCH, 2010, 41 (06) : 463 - 470
  • [9] Demographic factors, fatigue, and driving accidents: An examination of the published literature
    Di Milia, Lee
    Smolensky, Michael H.
    Costa, Giovanni
    Howarth, Heidi D.
    Ohayon, Maurice M.
    Philip, Pierre
    [J]. ACCIDENT ANALYSIS AND PREVENTION, 2011, 43 (02) : 516 - 532
  • [10] Gelau C., 2009, HDB FAHRERASSISTENZS, DOI [10.1007/978-3-8348-9977-4, DOI 10.1007/978-3-8348-9977-4]
123