在途中充电选择行为中考虑电动汽车用户的风险态度和充电惯性

IF 2 4区 工程技术 Q2 ENGINEERING, CIVIL Journal of Advanced Transportation Pub Date : 2024-05-02 DOI:10.1155/2024/9926334
Zhicheng Jin, Hao Li, Di Chen, Lu Yu, Huizhao Tu
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引用次数: 0

摘要

本文创新性地探讨了电池电动汽车(BEV)用户的风险态度和充电惰性,研究了它们对途中充电和充电路线选择行为的影响。通过态度调查,探讨了风险态度和充电惰性这两个潜变量与社会经济和旅行相关特征的关系。采用 ICLV(综合选择和潜变量)模型来同时估计潜变量和充电选择行为。具体来说,ICLV 模型首先考虑了能源消耗的不确定性,即可用范围(AR)不确定性。在与 ICLV 模型进行比较时,采用了直接包含社会经济属性的多叉对数(MNL)模型作为参考。结果表明,风险态度和充电惰性在途中充电选择行为建模中都发挥了重要作用。规避风险的用户和具有充电惰性的用户更看重 AR 的不确定性。电池续航能力、充电频率和收入是影响用户途中充电意愿的最关键因素。研究结果表明,电动汽车用户在态度和充电选择行为上存在明显的异质性,这凸显了在途中充电需求评估和公共充电站部署优化中考虑异质性的重要性,尤其是对中长途出行而言。
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Accounting for BEV Users’ Risk Attitudes and Charging Inertia in En Route Charging Choice Behavior

This paper innovatively explores BEV (battery electric vehicle) users’ risk attitudes and charging inertia, examining their effects on en route charging and charging route choice behavior. An attitudinal survey was conducted to explore the two latent variables of risk attitudes and charging inertia in relation to socioeconomic and travel-related characteristics. ICLV (Integrated choice and latent variable) models are adopted to estimate the latent variables and the charging choice behavior simultaneously. Specifically, uncertainty in energy consumption is first considered in the ICLV model, which is represented by the available range (AR) uncertainty. Multinomial logit (MNL) models directly incorporating socioeconomic attributes are employed as a reference for comparison with ICLV models. Results illustrate that risk attitudes and charging inertia both play significant roles in modeling en route charging choice behavior. Risk-averse users and users having charging inertia value AR uncertainty more. Battery range, charging frequency, and income emerge as the most crucial factors influencing users’ intention to charge en route. The results show significant heterogeneity of BEV users in attitudes and charging choice behavior, underscoring the importance of accounting for the heterogeneity in en route charging demand estimation and deployment optimization of public charging stations, particularly for medium-to long-distance trips.

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来源期刊
Journal of Advanced Transportation
Journal of Advanced Transportation 工程技术-工程:土木
CiteScore
5.00
自引率
8.70%
发文量
466
审稿时长
7.3 months
期刊介绍: The Journal of Advanced Transportation (JAT) is a fully peer reviewed international journal in transportation research areas related to public transit, road traffic, transport networks and air transport. It publishes theoretical and innovative papers on analysis, design, operations, optimization and planning of multi-modal transport networks, transit & traffic systems, transport technology and traffic safety. Urban rail and bus systems, Pedestrian studies, traffic flow theory and control, Intelligent Transport Systems (ITS) and automated and/or connected vehicles are some topics of interest. Highway engineering, railway engineering and logistics do not fall within the aims and scope of JAT.
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