A data-driven approach to uncovering the charging demand of electrified ride-hailing services

IF 7.3 1区工程技术 Q1 ENVIRONMENTAL STUDIES Transportation Research Part D-transport and Environment Pub Date : 2025-02-01 DOI:10.1016/j.trd.2025.104599

Zhicheng Jin , Xiaotong Sun , Zhengtian Xu , Huizhao Tu

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引用次数: 0

Abstract

Electric ride-hailing vehicles feature distinct charging needs compared to private-owned electric vehicles due to their intense daily usage and unique service characteristics. This study leverages trip data from 96,716 ride-hailing vehicles in Shanghai to develop a data-driven approach that forecasts spatially varying potential charging demand. Multiple linear regression, spatial autoregressive, spatial error, and spatial autoregressive combined models examine the relationship between charging demand and built environment variables. The analysis confirms strong positive spatial autocorrelation and identifies spatial lags in error terms. Positive correlations are found with the densities of metro and bus stations, residential communities, and catering, while negative ones with distances to airports and train stations and the density of medical facilities. Spatial panel and geographically weighted regression further uncover temporal variations in spatial lags and spatial variations in explanatory variables. Finally, supply-side data is incorporated to assess the capability of current public charging infrastructure to meet potential demand.

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来源期刊

Transportation Research Part D-transport and Environment 工程技术-运输科技

CiteScore

14.40

自引率

9.20%

发文量

314

审稿时长

39 days

期刊介绍： Transportation Research Part D: Transport and Environment focuses on original research exploring the environmental impacts of transportation, policy responses to these impacts, and their implications for transportation system design, planning, and management. The journal comprehensively covers the interaction between transportation and the environment, ranging from local effects on specific geographical areas to global implications such as natural resource depletion and atmospheric pollution. We welcome research papers across all transportation modes, including maritime, air, and land transportation, assessing their environmental impacts broadly. Papers addressing both mobile aspects and transportation infrastructure are considered. The journal prioritizes empirical findings and policy responses of regulatory, planning, technical, or fiscal nature. Articles are policy-driven, accessible, and applicable to readers from diverse disciplines, emphasizing relevance and practicality. We encourage interdisciplinary submissions and welcome contributions from economically developing and advanced countries alike, reflecting our international orientation.

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