摘要
针对共享汽车发展混乱、接受率低等问题,以共享汽车企业为对象,基于卢因行为模型,从出行者感知的角度将共享汽车服务模式分为车辆要素和运营要素;利用网络调查、电话访问等多种手段,获取了共享汽车企业服务模式要素现状数据;通过关联规则学习算法,寻找共享汽车运营要素关联度较高的车辆要素,辨别了共享汽车服务模式;从不同服务模式类别的共同特征和不同特征角度,提出了若干积极发展共享汽车的启示性建议。
Aim at the problem of chaotic development and low acceptance rate of car-sharing,car-sharing enterprises were taken as the object,and the car-sharing service mode were divided into vehicle factors and operation factors from the perspective of traveler perception based on the Lewin metal of behavior.The actual data of service mode factors of the car-sharing enterprise were obtained through web inquiry,telephone interview and other means.By using association rule learning algorithm,the vehicle elements with high correlation degree of operation elements were found,and then the car-sharing service mode was identified.From the perspective of the common characteristics and different characteristics of different service modes,some enlightening suggestions on the active development of car-sharing were proposed.
作者
罗薇
王泽昊
焦朋朋
王益
姚丽亚
LUO Wei;WANG Ze-hao;JIAO Peng-peng;WANG Yi;YAO Li-ya(Beijing Advanced Innovation Center for Future Urban Design, Beijing University of Civil Engineering and Architecture, Beijing 100044, China;Department of Civil Engineering, Tsinghua University, Beijing 100091, China;School of Mechanical and Vehicular Engineering, Beijing Institute of Technology, Beijing 100081, China)
出处
《科学技术与工程》
北大核心
2021年第32期13944-13951,共8页
Science Technology and Engineering
基金
中国博士后科学基金(2021M690331)
北京市博士后工作经费资助项目(2020-zz-089)
国家自然科学基金(51578040)
北京市属高校高水平教师队伍建设支持计划(CIT&TCD20180324)
北京建筑大学北京未来城市设计高精尖创新中心(UDC2019032924)。
关键词
共享汽车
服务模式
卢因行为模型
出行感知
关联规则学习
car-sharing
service mode
Lewin metal of behavior
travel perception
association rule learning
