电动出租车充电行为的异质性：与出行服务特征的关联

IF 5.1 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society Pub Date : 2024-10-15 DOI:10.1016/j.tbs.2024.100917

Haiming Cai , Binliang Li , Wu Li , Jian Wang

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引用次数: 0

摘要

全面了解电动汽车用户的充电行为对于推进绿色交通和部署有效的充电基础设施至关重要。本研究利用深圳电动出租车队的数据进行了大规模的实证研究，以探索出租车司机充电行为的异质性。研究假设，电动出租车队内部存在不同的充电模式，影响整个车队充电和服务活动的波动和重复。我们采用协变量增强潜特征分析模型，研究了车队内部独特的充电模式，并调查了出租车服务属性与充电行为异质性之间的关系。我们确定了整个车队的昼夜波动、每日重复和特定亚群的充电模式。在微观层面，评估了运营活动序列的相似性和组间多样性。研究结果为政策制定者和利益相关者在推广绿色交通和优化充电基础设施方面提供了有价值的见解。

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Heterogeneity in electric taxi charging behavior: Association with travel service characteristics

A comprehensive understanding of charging behaviors among electric vehicle users is crucial for advancing green transportation and deploying effective charging infrastructure. This study conducted large-scale empirical research using data from electric taxi fleets in Shenzhen to explore the heterogeneity of charging behaviors among taxi drivers. The study hypothesized that distinct charging patterns exist within the electric taxi fleet, impacting fleet-wide fluctuations and repetitions of charging and service activities. Employing a covariate-enhanced latent profile analysis model, we examined unique charging patterns within the fleet and investigated relationships between taxi service attributes and charging behavior heterogeneity. Fleet-wide diurnal fluctuations, daily repetitions, and subgroup-specific charging patterns were identified. At the micro level, operational activity sequence similarity and between-group diversity were assessed. The findings offer valuable insights for policymakers and stakeholders involved in promoting green transportation and optimizing charging infrastructure.

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来源期刊

Travel Behaviour and Society TRANSPORTATION-

CiteScore

9.80

自引率

7.70%

发文量

109

期刊介绍： Travel Behaviour and Society is an interdisciplinary journal publishing high-quality original papers which report leading edge research in theories, methodologies and applications concerning transportation issues and challenges which involve the social and spatial dimensions. In particular, it provides a discussion forum for major research in travel behaviour, transportation infrastructure, transportation and environmental issues, mobility and social sustainability, transportation geographic information systems (TGIS), transportation and quality of life, transportation data collection and analysis, etc.