Consumer preferences for public EV charging tariffs and infrastructure reliability: A choice experiment

被引:0
作者
Letmathe, Peter [1 ]
Sperling, Dustin [1 ]
Woeste, Richard [1 ]
机构
[1] Rhein Westfal TH Aachen, Chair Management Accounting, Templergraben 64, D-52062 Aachen, Germany
关键词
Public charging infrastructure; Electric vehicles; Charging tariffs; Reliability; Choice-based conjoint analysis; WILLINGNESS-TO-PAY; ELECTRIC MOBILITY; TRANSPORT; SERVICE; GENDER;
D O I
10.1016/j.tranpol.2025.05.010
中图分类号
F [经济];
学科分类号
02 ;
摘要
Public charging infrastructure (CIS) and its corresponding tariffs are becoming increasingly important for growing the market share of electric vehicles. To investigate the optimal design of such tariffs by gaining a better understanding of how consumers value the different attributes and the reliability of CIS, a choice-based conjoint analysis was conducted with 516 participants in Germany. Results suggest that the energy price is the most important attribute. However, unlimited tariffs are not perceived as being the most beneficial: A medium energy price combined with a moderate monthly fee is considered the most attractive option across the sample. Increased reliability provides high utility compared to the current status quo of about 80 % successful charging sessions. Additional services, such as a towing service or a mobility guarantee, are not regarded as beneficial by most participants. Policies should focus on ensuring competition for attractive charging prices and for sufficient and reliable CIS.
引用
收藏
页码:147 / 162
页数:16
相关论文
共 100 条
[31]  
EC-European Commission, 2024, Weekly oil bulletin
[32]  
EC-European Commission, 2023, Fit for 55: EU reaches new milestone to make all new cars and vans zero-emission from 2035
[33]  
EEA-European Environment Agency, 2023, DAS- 270-en
[34]  
elvah-elvah GmbH, 2022, Einfach laden mit dem richtigen Tarif
[35]  
EnBW-EnBW Energie Baden-Wurttemberg AG, 2022, Wir laden unterwegs
[36]  
European Commission, 2019, COM (2019), 640 final, DOI DOI 10.1017/CBO9781107415324.004
[37]   Multi-Criteria assessment of the user experience at E-Vehicle charging stations in Germany [J].
Fabianek, Paul ;
Madlener, Reinhard .
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2023, 121
[38]  
Gelman A., 2014, BAYESIAN DATA ANAL
[39]   Willingness-to-pay estimation with choice-based conjoint analysis: Addressing extreme response behavior with individually adapted designs [J].
Gensler, Sonja ;
Hinz, Oliver ;
Skiera, Bernd ;
Theysohn, Sven .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2012, 219 (02) :368-378
[40]  
Giesse A., 2024, Anwohnerparkausweis: Welche Regeln gelten und warum es teurer wird