| Title |
Mathematical modelling of electric vehicle adoption: A systematic literature review |
| ID_Doc |
73522 |
| Authors |
Maybury, L; Corcoran, P; Cipcigan, L |
| Title |
Mathematical modelling of electric vehicle adoption: A systematic literature review |
| Year |
2022 |
| Published |
|
| DOI |
10.1016/j.trd.2022.103278 |
| Abstract |
As decarbonisation is becoming increasingly important, many countries have placed an emphasis on decarbonising their transportation sector through electrification to support the transition to net zero. As such, research regarding the adoption of electric vehicles has drastically increased in recent years. Mathematical modelling plays an important role in optimising a transition to electric vehicles. This article describes a systematic literature review of existing works which perform mathematical modelling of the adoption of electric motor vehicles. In this study, 53 articles containing mathematical models of electric vehicle adoption are reviewed systematically to answer 6 research questions regarding the process of modelling transitions to electric vehicles. The mathematical modelling techniques observed in existing literature are discussed, along with the main barriers to electric vehicle adoption, and future research directions are suggested. |
| Author Keywords |
Electric vehicles; Emerging technologies; Mathematical modelling; Sustainable mobility; Technology adoption; Transition theory |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
| EID |
WOS:000828189200004 |
| WoS Category |
Environmental Studies; Transportation; Transportation Science & Technology |
| Research Area |
Environmental Sciences & Ecology; Transportation |
| PDF |
https://doi.org/10.1016/j.trd.2022.103278
|