Personal Characteristics of e-Bike Riders and Illegal Lane Occupation Behavior
Personal Characteristics of e-Bike Riders and Illegal Lane Occupation Behavior
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电动自行车骑乘者个人特征及违法占用车道行为
DOI：
10.1155/2020/1840975
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发表时间：
2020-06-27
影响因子：
2.3
通讯作者：
Fan, Yuanyuan
中科院分区：
文献类型：
--
作者：
Ma, Changxi;Zhou, Jibiao;Fan, Yuanyuan
本研究旨在揭示电动自行车骑行者的个人特征与违法占用机动车道行为之间的潜在关系。为此，进行了一项问卷调查，并从电动自行车骑手那里获得了350份有效的答复。根据占用车道数的不同，将违法占用车道的危险行为分为A、B、C、D四个区间。非集计理论对个体交通行为分析具有很强的适应性。本研究采用多项logit模型，选取了8个个人特征的电动自行车骑手。以上述四个区间为四个选择肢，构建了个体特征对非法占用行为影响的测量模型。运用弹性理论分析了各影响因素的敏感度。结果表明，所有测试的影响因素，包括年龄，教育程度和视力的弹性的绝对值都小于1.000。然而，在四个区间，骑手的气质弹性分别为1.203，1.656，1.554和1.355，和骑熟练度的弹性分别为2.782，3.883，3.453和2.932，分别。
This study aimed to reveal the potential relationship between personal characteristics of e-bike riders and illegal occupation of motor vehicle lane. To this end, a questionnaire survey was conducted and 350 valid copies of responses were retrieved from the e-bike riders. Depending on the number of motor vehicle lanes occupied, the risky behavior of illegal occupation was divided into four intervals: intervals A, B, C, and D. The disaggregate theory has high adaptability to the analysis of individual traffic behavior. In this study, the multinomial logit model was used, and eight personal characteristics of e-bike riders were selected. The aforementioned four intervals were the four selection limbs, and a measurement model calculating the influence of personal characteristics on the behavior of illegal occupation was built. The theory of elasticity was employed to analyze the sensitivity degree of each influence factor. The results showed that the absolute values of elasticity of all tested influence factors, including age, educational level, and eye vision, were less than 1.000. However, on the four intervals, the elasticity of riders' temperament was 1.203, 1.656, 1.554, and 1.355, respectively, and elasticity of riding proficiency was 2.782, 3.883, 3.453, and 2.932, respectively.