Driving the Change: How Do Personal Factors and Socio-Economic Context Influence Electric Vehicles Adoption Across Europe? DOI
Valerio Schiaroli, Luca Fraccascia

Опубликована: Янв. 1, 2024

Язык: Английский

Beyond conventional: Analysing the factors affecting the adoption of electric four-wheelers in an Indian metropolis DOI
Furqan A. Bhat, Yash Seth, Ashish Verma

и другие.

Transportation Research Part D Transport and Environment, Год журнала: 2024, Номер 131, С. 104200 - 104200

Опубликована: Апрель 16, 2024

Язык: Английский

Процитировано

6
A decision framework for improving the service quality of charging stations based on online reviews and evolutionary game theory DOI

Shengnan Lv,

Anran Xiao, Yong Qin

и другие.

Transportation Research Part A Policy and Practice, Год журнала: 2024, Номер 187, С. 104168 - 104168

Опубликована: Июль 13, 2024

Язык: Английский

Процитировано

5
Assessing optimized time-of-use pricing for electric vehicle charging in deep vehicle-grid integration system DOI
So Young Yang, JongRoul Woo, Wonjong Lee

и другие.

Energy Economics, Год журнала: 2024, Номер 138, С. 107852 - 107852

Опубликована: Авг. 20, 2024

Язык: Английский

Процитировано

4
Are past ownership experience and satisfaction major determinants of endorsement and future demand for zero emission vehicle technology when accounting for vehicle characteristics? DOI Creative Commons
Hui Shi, Konstadinos G. Goulias

Research in Transportation Economics, Год журнала: 2025, Номер 110, С. 101535 - 101535

Опубликована: Март 5, 2025

Язык: Английский

Процитировано

0
What drives the adoption of electric four-wheelers in India? An investigation of the reasons for and against DOI
Furqan A. Bhat, Ashish Verma

Travel Behaviour and Society, Год журнала: 2025, Номер 40, С. 101016 - 101016

Опубликована: Март 18, 2025

Язык: Английский

Процитировано

0
Electric vehicle adoption and the energy rebound effect in the transportation sector: evidence from China DOI
Xiaolei Zhao, Xuemei Li, Yumeng Mao

и другие.

Transport Policy, Год журнала: 2025, Номер unknown

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0
Towards sustainable Transportation: Factors influencing electric vehicle charging stations development DOI
Sudhanshu Ranjan Singh, Abhijeet K. Digalwar, Srikanta Routroy

и другие.

Sustainable Energy Technologies and Assessments, Год журнала: 2025, Номер 77, С. 104339 - 104339

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0
Understanding the zero-emission vehicle market spatial diffusion and its determinants from 2019 to 2022 using spatial econometric models DOI Creative Commons
Hui Shi, Konstadinos G. Goulias

Energy, Год журнала: 2024, Номер unknown, С. 133607 - 133607

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

3
Self-reported public fast charging infrastructure demand: what do existing and potential electric vehicle adopters want and where? DOI
Ubaid Illahi, Robert Egan, Margaret O’Mahony

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер unknown, С. 105935 - 105935

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

2
Modeling of the Acceptable Waiting Time for EV Charging in Japan DOI Open Access

Umm e Hanni,

Toshiyuki Yamamoto, Toshiyuki Nakamura

и другие.

Sustainability, Год журнала: 2024, Номер 16(6), С. 2536 - 2536

Опубликована: Март 20, 2024

The limited number of charging stations for electric vehicles (EVs) necessitates periodic charging, resulting in extended queues at as drivers await their availability. This study contributes to the existing body literature by providing estimates consumer preferences allowable waiting times stations, well furthering understanding roles explanatory variables influencing these preferences. also compares average and maximum experienced EV drivers, with acceptable time. Responses from stated preference survey Japan 2021 were analyzed using a generalized ordered logit model. results show that (a) sex, age, household income, employment status, vehicle usage frequency significantly influenced times, (b) time associated locations. Our estimation model indicated positive association convenience stores, large commercial facilities, highway locations short medium times. provide useful insights into policy implications infrastructure.

Язык: Английский

Процитировано

0