Estimating charging demand from the perspective of choice behavior: A framework combining rule-based algorithm and hybrid choice model

It is of great significance to study the generation and spatio-temporal variation of electric vehicle charging demand for guiding the planning, construction and operation of charging facilities. Based on users' daily travel laws and behaviors, this paper proposed a framework for charging demand...

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Veröffentlicht in:	Journal of cleaner production Jg. 376; S. 134262
Hauptverfasser:	Zhang, Yiyuan, Luo, Xia, Wang, Zengrui, Mai, Qixin, Deng, Ruixin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 20.11.2022
Schlagworte:	algorithms batteries Battery electric vehicle Charging demand estimation electric vehicles Hybrid choice model Individual heterogeneity Latent variable logit analysis surveys traffic travel Trip chain Trip chain Latent variable Individual heterogeneity Hybrid choice model Battery electric vehicle Charging demand estimation
ISSN:	0959-6526, 1879-1786
Online-Zugang:	Volltext
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