Trakulsanti Yaifa, Chantruthai Piti, Raya Orawan, T. Pichai
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引用次数: 0
摘要
本文描述了一种方法来识别危险的道路位置在那空西塔玛拉市和调查结果关于交通事故的原因。以严重事故数量和严重程度指数为标准,选择研究地点的排名。这三个研究地点包括黑点一号(BS-1):罗宾逊百货公司,黑点2号(BS-2): Nakhon Si Thammarat技术学院和黑点3(BS-3):塔马-市场路口。二元Logistic回归模型分析结果表明,对于BS-1,预计影响交通事故的独立因素包括性别、家庭摩托车数量和超速驾驶。对于BS-2,预计影响交通事故发生率的自变量包括年龄、家庭汽车数量和缺乏交通控制设备。对于BS-3,自变量为男性和受访者的年龄。对影响交通事故发生的因素提出了处理建议。
Factors affecting road accidents in urban areas: a case study of Nakhon Si Thammarat municipality
This paper describes a method for identity hazardous road location in Nakhon Si Thammarat municipality and the findings regarding the causes of the traffic accidents. The ranking of study locations were selected by using the criteria of number of critical accidents and severity index. The 3 study locations comprise Black Spot no.1 (BS-1): Robinson department store, Black spot no.2 (BS-2): Nakhon Si Thammarat Technical College and Black spot no.3 (BS-3): Thama-market intersection. Results of analysis using the Binary Logistic Regression model show that for BS-1, independent factors that are expected to influence the traffic accidents include gender, number of household motorcycles and driving with excessive speed. For BS-2, the independent variables that are expected to influence the incidence of traffic accidents include age, number of cars in a household and lack of traffic control devices. For BS-3, the independent variables are male and the age of the respondents. Recommendations are suggested to deal with the factors that influence the occurrence of the traffic accidents.