The impact of satisfaction with plug-in electric vehicles on future vehicle choice decisions: A hybrid choice modeling framework
To boost the market share of plug-in electric vehicles (PEVs) and ultimately achieve 100% of new vehicle sales, it is crucial for early adopters to continue choosing PEVs for their future vehicles. This underscores the importance of understanding who is more likely to be satisfied with PEVs and how...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-07-01
|
| Series: | Transportation Research Interdisciplinary Perspectives |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590198225001642 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1839651236241997824 |
|---|---|
| author | Mohammad Maghrour Zefreh Domokos Esztergár-Kiss |
| author_facet | Mohammad Maghrour Zefreh Domokos Esztergár-Kiss |
| author_sort | Mohammad Maghrour Zefreh |
| collection | DOAJ |
| description | To boost the market share of plug-in electric vehicles (PEVs) and ultimately achieve 100% of new vehicle sales, it is crucial for early adopters to continue choosing PEVs for their future vehicles. This underscores the importance of understanding who is more likely to be satisfied with PEVs and how this satisfaction impacts their future vehicle choices. This study investigates how satisfaction with the availability of public charging infrastructure, as well as with vehicle and charging technology, influences the future vehicle choices of Hungarian PEV users, utilizing a hybrid choice modeling (HCM) framework. Additionally, this study profiles the PEV users, taking their mobility and sociodemographic characteristics into account, and explores who are more likely to be satisfied with the availability of public charging infrastructure, as well as with vehicle and charging technology, using the structural equation models within the developed HCM framework. The results indicate that satisfaction with vehicle and charging technology as well as with the availability of public charging infrastructure has a positive impact on future PEV choice decisions. Furthermore, the findings reveal that PEV users who frequently charge at work and have a low average daily mileage are more likely to be satisfied with the vehicle and charging technology (e.g., charging time, range) than others. Commuters who use park-and-ride facilities and frequently charge their PEVs there are also more likely to be satisfied with the vehicle and charging technology. Those residing in Budapest who do not use their PEV daily are more likely to be satisfied with the availability of public charging infrastructure. Similarly, PEV users who are willing to walk at least 500 meters from their destination to reach a charging station are more likely to be satisfied with the availability of public charging infrastructure. Moreover, multi-car households and individuals over 40 are more inclined to choose a PEV for their next vehicle. However, household income and university education level did not significantly impact future PEV choice decisions. These insights can assist policymakers in profiling PEV users based on mobility and demographic factors, enabling the formulation of targeted strategies and investments to enhance satisfaction with PEVs and ultimately boost their adoption and market penetration. |
| format | Article |
| id | doaj-art-c39eeb614ece45f993494e8c4850f63a |
| institution | Matheson Library |
| issn | 2590-1982 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Transportation Research Interdisciplinary Perspectives |
| spelling | doaj-art-c39eeb614ece45f993494e8c4850f63a2025-06-26T09:53:28ZengElsevierTransportation Research Interdisciplinary Perspectives2590-19822025-07-0132101485The impact of satisfaction with plug-in electric vehicles on future vehicle choice decisions: A hybrid choice modeling frameworkMohammad Maghrour Zefreh0Domokos Esztergár-Kiss1Division of Transport Planning, KTH Royal Institute of Technology, Brinellvägen 23, Stockholm, SE-100 44, Sweden; Corresponding author.Department of Transport Technology and Economics, Budapest University of Technology and Economics, Muegyetem rkp 3, Budapest, 1111, HungaryTo boost the market share of plug-in electric vehicles (PEVs) and ultimately achieve 100% of new vehicle sales, it is crucial for early adopters to continue choosing PEVs for their future vehicles. This underscores the importance of understanding who is more likely to be satisfied with PEVs and how this satisfaction impacts their future vehicle choices. This study investigates how satisfaction with the availability of public charging infrastructure, as well as with vehicle and charging technology, influences the future vehicle choices of Hungarian PEV users, utilizing a hybrid choice modeling (HCM) framework. Additionally, this study profiles the PEV users, taking their mobility and sociodemographic characteristics into account, and explores who are more likely to be satisfied with the availability of public charging infrastructure, as well as with vehicle and charging technology, using the structural equation models within the developed HCM framework. The results indicate that satisfaction with vehicle and charging technology as well as with the availability of public charging infrastructure has a positive impact on future PEV choice decisions. Furthermore, the findings reveal that PEV users who frequently charge at work and have a low average daily mileage are more likely to be satisfied with the vehicle and charging technology (e.g., charging time, range) than others. Commuters who use park-and-ride facilities and frequently charge their PEVs there are also more likely to be satisfied with the vehicle and charging technology. Those residing in Budapest who do not use their PEV daily are more likely to be satisfied with the availability of public charging infrastructure. Similarly, PEV users who are willing to walk at least 500 meters from their destination to reach a charging station are more likely to be satisfied with the availability of public charging infrastructure. Moreover, multi-car households and individuals over 40 are more inclined to choose a PEV for their next vehicle. However, household income and university education level did not significantly impact future PEV choice decisions. These insights can assist policymakers in profiling PEV users based on mobility and demographic factors, enabling the formulation of targeted strategies and investments to enhance satisfaction with PEVs and ultimately boost their adoption and market penetration.http://www.sciencedirect.com/science/article/pii/S2590198225001642Plug-in electric vehicleSatisfactionVehicle choiceHybrid choice model |
| spellingShingle | Mohammad Maghrour Zefreh Domokos Esztergár-Kiss The impact of satisfaction with plug-in electric vehicles on future vehicle choice decisions: A hybrid choice modeling framework Transportation Research Interdisciplinary Perspectives Plug-in electric vehicle Satisfaction Vehicle choice Hybrid choice model |
| title | The impact of satisfaction with plug-in electric vehicles on future vehicle choice decisions: A hybrid choice modeling framework |
| title_full | The impact of satisfaction with plug-in electric vehicles on future vehicle choice decisions: A hybrid choice modeling framework |
| title_fullStr | The impact of satisfaction with plug-in electric vehicles on future vehicle choice decisions: A hybrid choice modeling framework |
| title_full_unstemmed | The impact of satisfaction with plug-in electric vehicles on future vehicle choice decisions: A hybrid choice modeling framework |
| title_short | The impact of satisfaction with plug-in electric vehicles on future vehicle choice decisions: A hybrid choice modeling framework |
| title_sort | impact of satisfaction with plug in electric vehicles on future vehicle choice decisions a hybrid choice modeling framework |
| topic | Plug-in electric vehicle Satisfaction Vehicle choice Hybrid choice model |
| url | http://www.sciencedirect.com/science/article/pii/S2590198225001642 |
| work_keys_str_mv | AT mohammadmaghrourzefreh theimpactofsatisfactionwithpluginelectricvehiclesonfuturevehiclechoicedecisionsahybridchoicemodelingframework AT domokosesztergarkiss theimpactofsatisfactionwithpluginelectricvehiclesonfuturevehiclechoicedecisionsahybridchoicemodelingframework AT mohammadmaghrourzefreh impactofsatisfactionwithpluginelectricvehiclesonfuturevehiclechoicedecisionsahybridchoicemodelingframework AT domokosesztergarkiss impactofsatisfactionwithpluginelectricvehiclesonfuturevehiclechoicedecisionsahybridchoicemodelingframework |