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基于卢因行为模型的共享汽车出行选择 被引量:6

Travel Choice of Car-sharing Based on Lewin Metal of Behavior
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摘要 针对共享汽车发展过程中的普及率低、接受程度低、使用率低等问题,以交通出行者为研究对象,基于改进的卢因行为模型,通过问卷调查,从个体特征、出行特征、信息感知多维角度分析了共享汽车出行行为,并通过构建非集计模型分析了交通出行者是否选择共享汽车、共享汽车出行者出行强度、非共享汽车出行者未来是否选择共享汽车等方面的影响因素.研究结果表明:共享汽车男性出行者比女性出行者更多,受教育程度越高,选择共享汽车的意愿越大;学生、公司职员2类人群共享汽车出行次数较少,每月5次以下;已使用共享汽车1~6个月的人群和感知共享汽车信息量较大的人群出行稳定,强度较高,每月20次以下;出行者获得共享汽车信息准确性偏低时,若提高信息准确性,共享汽车使用强度也会增大;出行者获取共享汽车信息越早,共享汽车出行强度越大;非共享汽车出行者所获取的信息量越大、时间越早,未来选择共享汽车的意愿越大. To address the issues about the low popularity rate, acceptance degree and usage of car-sharing, regarding traffic traveler as the research object, Lewin metal of behavior was improved in this paper. Based on an car-sharing analysis by a questionnaire on travel behavior from the perspective of individuals, trip and information perception characteristic, influence factors of choosing car-sharing, use intensity, choosing car-sharing in future were studied by establishing three disaggregate models. The results indicate that males are more willing to choose car-sharing to travel than females. The higher the amount of schooling, travelers are more willing to choose car-sharing. Students and office workers’trip frequency is relatively low, just under 5 times a month. Travelers, who have already used carsharing for one month to 6 months, trip frequency is relatively higher, which is stabilized under 20 times a month. When car-sharing information is low, the more accurate of car-sharing information, the higher the car-sharing use intensity is. The earlier one gets the car-sharing information, the higher the car-sharing use intensity is. The larger amount of car-sharing information and the earlier the car-sharing information obtainment, non-car-sharing travelers are more willing to choose car-sharing in future. The research results can provide theoretical underpinning for studying travel choice of carsharing, and provide theory gist for relevant policy making.
作者 罗薇 孙立山 王顺超 荣建 LUO Wei;SUN Lishan;WANG Shunchao;RONG Jian(Beijing Key Laboratory of Traffic Engineering,Beijing University of Technology,Beijing 100124,China)
出处 《北京工业大学学报》 CAS CSCD 北大核心 2019年第5期476-484,共9页 Journal of Beijing University of Technology
基金 北京市交通委员会资助项目(ZD1825-JNBJ2) 北京市自然科学基金资助项目(4181002 L181001)
关键词 共享汽车 卢因行为模型 出行选择 信息感知 问卷调查 非集计模型 car-sharing Lewin metal of behavior travel choice information perception questionnaire disaggregate model
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