Risk Factors Related to Road Traffic Accidents in Phuket Province, Southern Thailand: a Confirmatory Factor Analysis

Q3 Engineering Transactions on Transport Sciences Pub Date : 2021-11-10 DOI:10.5507/tots.2021.020
Jinda Kongcharoen, Nutthajit Onmek, S. Karrila, Jariya Seksan
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Abstract

Phuket is an outstanding province in promoting its economy to domestic and international tourism in Thailand. An investigation of relevant factors for understanding the accident process is one approach to reduce traffic accidents and thereby support tourism industry. This study aimed 1) to examine the characteristics of traffic accidents, physical and surface conditions, and driving behavior in Phuket province; 2) to investigate for an in-depth understanding the factors related to road accidents, including human and vehicle factors, and environmental conditions; and 3) to construct and verify a model concordant with the empirical data. The research instruments were a structural questionnaire to drivers and a checklist assessment of the road surface conditions. A stratified random sampling technique was used for selecting the drivers. The data were statistically analyzed using exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and second-order confirmatory factor analysis (SCFA). The majority of drivers were males (56.75%), aged between 21 and 40 years (57.00 %), married (62.25%), and working as company employees (73.25%). The study revealed that nearly half (47.15%) of the road traffic accidents in Phuket province involved motorcycles, surpassing other types of vehicles. Traffic accidents were more likely to occur during the daytime (38.11%), followed by night-time at 37.03%. Guided by the EFA and CFA, the three categories of factors, namely human, environmental and vehicle factors, were confirmed as appropriate in fitted models. The results of SCFA revealed that almost all traffic accidents were caused by human factors, followed by environmental, and vehicle factors, in this rank order. The fitted model was concordant with the empirical data (χ/df = 1.847, GFI = 0.972, AGFI = 0.951, CFI = 0.945, NFI = 0.890, and RMSEA = 0.046). Moreover, substandard road surfaces contributed to traffic accidents as an enabling factor. The responsible agency, therefore, should assist in improving the physical road conditions. Safety consciousness must be set as the default behavior for drivers to avoid accidents. Road accident reduction in Phuket province will increase the confidence among tourists for choosing Thailand as their tourist destination.
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泰国南部普吉岛省道路交通事故相关危险因素:验证性因素分析
普吉岛是泰国在促进国内和国际旅游方面表现突出的省份。研究交通事故发生过程的相关因素是减少交通事故、支持旅游业发展的途径之一。本研究的目的是:(1)研究普吉岛省交通事故特征、物理和地面条件以及驾驶行为;2)调查深入了解道路交通事故的相关因素,包括人、车因素和环境条件;3)构建并验证与实证数据一致的模型。研究工具是对驾驶员的结构性问卷调查和对路面状况的检查表评估。采用分层随机抽样技术选择驾驶员。采用探索性因子分析(EFA)、验证性因子分析(CFA)和二阶验证性因子分析(SCFA)对数据进行统计分析。大多数司机是男性(56.75%),年龄在21 - 40岁之间(57.00%),已婚(62.25%),公司雇员(73.25%)。研究显示,普吉省近一半(47.15%)的道路交通事故涉及摩托车,超过其他类型的车辆。交通事故主要发生在白天(38.11%),其次是夜间(37.03%)。在EFA和CFA的指导下,在拟合模型中确认了三类因素,即人、环境和车辆因素。SCFA结果显示,交通事故主要由人为因素引起,其次是环境因素和车辆因素。拟合模型与实证数据吻合较好(χ/df = 1.847, GFI = 0.972, AGFI = 0.951, CFI = 0.945, NFI = 0.890, RMSEA = 0.046)。此外,不合格的路面是造成交通事故的一个促成因素。因此,负责的机构应协助改善道路的实际状况。必须将安全意识设置为驾驶员的默认行为,以避免事故发生。普吉岛省道路交通事故的减少将增加游客选择泰国作为旅游目的地的信心。
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来源期刊
Transactions on Transport Sciences
Transactions on Transport Sciences Environmental Science-Management, Monitoring, Policy and Law
CiteScore
1.40
自引率
0.00%
发文量
0
审稿时长
13 weeks
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