摘要
为了揭示共享电动汽车的需求分布机理,文章研究个人碳交易、风险、习惯等潜变量对共享电动汽车出行地点选择行为的影响。基于北京市问卷调查数据,以计划行为理论为框架,通过建立多指标多原因模型量化不可直接观测的潜变量,并整合潜变量模型和混合Logit模型构建混合选择模型。模型估计结果表明:性别、学历、职业、是否有车、驾龄均对各心理潜变量有较大影响;个人碳交易、风险、主观规范、行为意向及知觉行为控制均对出行地点的选择有显著影响;停车场、地铁站、商场属性均对出行地点的选择有显著影响,而公交线路并无显著影响。该研究根据模型结果提出不同出行地点下发展共享电动汽车的相关建议。
In order to reveal the demand distribution mechanism of shared electric vehicles,this paper explores the impact of latent variables such as personal carbon trading,risk,and habits on travel location choice behavior of shared electric vehicles.Based on the questionnaire data of Beijing City,this paper establishes a multiple indicators multiple causes(MIMIC)model to quantify the unobserved latent variables in the framework of the theory of planned behavior,and integrates the latent variable model and Mixed Logit model to construct a hybrid choice model.The results of the model estimation show that gender,education,occupation,car ownership and driving age all have great influence on psychological latent variables.Personal carbon trading,risk,subjective norms,behavioral intention and perceived behavioral control have significant influence on the choice of travel location.Parking lots,subway stations and shopping malls all have significant influence on the choice of travel location,while bus routes have no significant influence.According to the model results,relevant suggestions are put forward to develop shared electric vehicles in different travel locations.
作者
孙小慧
王飞燕
SUN Xiaohui;WANG Feiyan(School of Civil Engineering and Architecture,Xinjiang University,Urumqi 830017,China)
出处
《合肥工业大学学报(自然科学版)》
北大核心
2025年第5期628-634,共7页
Journal of Hefei University of Technology:Natural Science
基金
新疆维吾尔自治区自然科学基金资助项目(2021D01C104)。
关键词
交通工程
需求分布机理
混合选择模型
共享电动汽车
心理潜变量
多指标多原因模型
traffic engineering
demand distribution mechanism
hybrid choice model
shared electric vehicle
psychological latent variable
multiple indicators multiple causes(MIMIC)model
