Submitted:
21 July 2025
Posted:
22 July 2025
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Abstract
Keywords:
1. Introduction
- What are the current and emerging research trends on electric mobility and social sustainability?
- What is the proposed future research agenda on electric mobility and social sustainability?
2. Materials and Methods
3. Results
3.1. Performance Analysis

3.1.1. Top Journals
3.1.2. Top Authors
3.1.3. Top Author Affiliations
3.1.4. Top Countries
3.2. Science Mapping
3.2.1. Co-Authorship Analysis
3.2.2. Co-Citation Analysis
3.2.3. Co-Word Analysis
3.2.4. Thematic Evolution

3.2.5. Citation Analysis
4. Discussion
5. Conclusions
- While energy and charging infrastructure is a key focus in e-mobility research, social equity and regional disparities remain underexplored, especially in developing regions. Most studies emphasise technological efficiency, with little attention to access for low-income or rural communities. Future research should explore inclusive infrastructure planning, equitable policy design, and the social impact of emerging technologies like vehicle-to-grid systems.
- Social and economic impacts theme is central focus in e-mobility and social sustainability research. However, there is limited attention to how EV adoption influences employment, affordability, and welfare among vulnerable groups. Future studies should examine the broader socio-economic outcomes of EV transitions, particularly about equity, access, and community-level benefits.
- Public policy and regulations are emerging as key drivers of e-mobility in social sustainability research. However, how specific policy designs influence social outcomes. Is overlooked. While many studies assess policy effectiveness in boosting EV adoption, fewer examine how these policies address justice, inclusivity, and long-term social resilience. Future research should analyse how regulatory frameworks can be shaped to support fair transitions, prioritise the marginalised communities, and align environmental goals with social sustainability.
- Technological innovations are becoming more important in e-mobility research, but their social impact is poorly understood. Most studies focus on technical performance, with little attention to how these innovations affect everyday users or reduce social barriers. Future research should explore how new technologies like smart grids, energy storage, and vehicle-to-grid systems can improve user experience, build trust, and support wider access to electric mobility.
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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| Description | Results |
| Timespan | 2004:2025 |
| Sources (Journals, Books, etc) | 278 |
| Documents | 490 |
| Annual Growth Rate % | 16.34 |
| Document Average Age | 4.29 |
| Average citations per doc | 31.54 |
| References | 20991 |
| DOCUMENT CONTENTS | |
| Keywords Plus (ID) | 3135 |
| Author’s Keywords (DE) | 1562 |
| AUTHORS | |
| Authors | 1411 |
| Authors of single-authored docs | 22 |
| AUTHORS COLLABORATION | |
| Single-authored docs | 22 |
| Co-Authors per Doc | 3.7 |
| International co-authorships % | 32.65 |
| DOCUMENT TYPES | |
| article | 344 |
| book chapter | 10 |
| conference paper | 116 |
| review | 20 |
| Rank | Journal | h-index | g-index | m-index | TC | NP | PY_start |
| 1 | Sustainability (Switzerland) | 8 | 13 | 1 | 235 | 13 | 2018 |
| 2 | Energy | 8 | 9 | 0.8 | 386 | 9 | 2016 |
| 3 | Applied Energy | 7 | 11 | 0.7 | 589 | 11 | 2016 |
| 4 | IEEE Transactions on Intelligent Transportation Systems | 7 | 8 | 1 | 307 | 8 | 2019 |
| 5 | Journal of Cleaner Production | 7 | 7 | 0.636 | 459 | 7 | 2015 |
| 6 | Sustainable Cities and Society | 7 | 8 | 1.167 | 288 | 8 | 2020 |
| 7 | Energy Policy | 6 | 7 | 0.273 | 460 | 7 | 2004 |
| 8 | IEEE Internet of Things Journal | 6 | 7 | 0.857 | 278 | 7 | 2019 |
| 9 | IEEE Transactions on Vehicular Technology | 6 | 6 | 0.75 | 334 | 6 | 2018 |
| 10 | Transportation Research Part D: Transport and Environment | 6 | 10 | 0.5 | 518 | 10 | 2014 |
| Rank | Element | h-index | g-index | m-index | TC | NP | PY_start |
| 1 | Li, Y | 7 | 12 | 0.778 | 664 | 12 | 2017 |
| 2 | Zhang, Y | 7 | 8 | 0.778 | 1186 | 8 | 2017 |
| 3 | Liu, Z | 6 | 8 | 0.6 | 545 | 8 | 2016 |
| 4 | Wang, C | 6 | 10 | 0.667 | 120 | 10 | 2017 |
| 5 | An, D | 5 | 5 | 0.556 | 115 | 5 | 2017 |
| 6 | Li, D | 5 | 5 | 0.556 | 159 | 5 | 2017 |
| 7 | Li, Z | 5 | 6 | 0.5 | 89 | 6 | 2016 |
| 8 | Liu, J | 5 | 9 | 0.385 | 527 | 9 | 2013 |
| 9 | Zhang, J | 5 | 7 | 0.357 | 120 | 7 | 2012 |
| 10 | Chen, X | 4 | 5 | 0.364 | 145 | 5 | 2015 |
| Rank | Institution of affiliation | Articles |
| 1 | Tsinghua University | 24 |
| 2 | Guangdong University of Technology | 20 |
| 3 | Southeast University | 17 |
| 4 | Xi’an Jiaotong University | 17 |
| 5 | China University of Petroleum-Beijing | 15 |
| 6 | Northeastern University | 14 |
| 7 | Xidian University | 14 |
| 8 | Concordia University | 13 |
| 9 | Wuhan University | 13 |
| 10 | Arizona State University | 12 |
| Rank | Country | Articles |
| 1 | China | 133 |
| 2 | USA | 41 |
| 3 | India | 30 |
| 4 | Germany | 23 |
| 5 | United Kingdom | 20 |
| 6 | Iran | 10 |
| 7 | Hong Kong | 9 |
| 8 | Canada | 8 |
| 9 | France | 7 |
| 10 | Korea | 7 |
| Rank | Word(s) | Occurrences | Rank | Word(s) | Occurrences |
| 1 | charging (batteries) | 118 | 26 | vehicle to grid (v2g) | 19 |
| 2 | costs | 74 | 27 | fleet operations | 18 |
| 3 | charging station | 63 | 28 | smart power grids | 18 |
| 4 | economic and social effects | 49 | 29 | competition | 17 |
| 5 | electric vehicle charging | 49 | 30 | gas emissions | 17 |
| 6 | sustainable development | 48 | 31 | social aspects | 17 |
| 7 | secondary batteries | 47 | 32 | social welfare maximisation | 17 |
| 8 | vehicle-to-grid | 44 | 33 | supply chains | 17 |
| 9 | environmental impact | 43 | 34 | transportation system | 17 |
| 10 | profitability | 42 | 35 | energy | 16 |
| 11 | electric power transmission networks | 37 | 36 | energy efficiency | 16 |
| 12 | recycling | 32 | 37 | energy storage | 16 |
| 13 | social impact | 31 | 38 | government subsidies | 16 |
| 14 | decision making | 30 | 39 | climate change | 15 |
| 15 | greenhouse gases | 26 | 40 | energy management | 15 |
| 16 | subsidy system | 26 | 41 | environmental technology | 15 |
| 17 | sales | 25 | 42 | fossil fuels | 15 |
| 18 | life cycle | 24 | 43 | public policy | 15 |
| 19 | optimisation | 22 | 44 | renewable energies | 15 |
| 20 | smart grid | 22 | 45 | blockchain | 14 |
| 21 | social acceptance | 22 | 46 | energy utilisation | 14 |
| 22 | investments | 21 | 47 | technology adoption | 14 |
| 23 | sustainability | 21 | 48 | traffic congestion | 14 |
| 24 | emission control | 20 | 49 | consumption behavior | 13 |
| 25 | charging infrastructures | 19 | 50 | economics | 13 |
| Author(s) | Total citations per year | Title | Findings |
| Kang et al. [23] | 115.22 | Enabling localised peer-to-peer electricity trading among plug-in hybrid electric vehicles using consortium blockchains | The aim of the paper was to propose a localised peer-to-peer electricity trading model with consortium blockchain (PETCON) for locally buying and selling electricity among PHEVs in smart grids. The proposed model improves transaction security and privacy protection. |
| Ahmad et al. [24] | 86.89 | A comprehensive review of wireless charging technologies for electric vehicles | The aim of the paper was to review all the wireless charging technologies for EVs. Results indicate that the wireless charging system is safer, more reliable, and offers more safety benefits than the wired charging system. |
| Andwari et al. [25] | 69.22 | A review of battery electric vehicle technology and readiness levels | The aim of the paper was to analyse barriers to the market penetration of BEVs. Results indicate that social acceptance (due to high capital cost, range anxiety, and insufficient charging infrastructure) is a major barrier to market penetration of BEVs |
| Liu et al. [28] | 50.00 | An IGDT-based risk-involved optimal bidding strategy for hydrogen storage-based intelligent parking lot of electric vehicles | The aim of the paper was to get optimal bidding curves while considering power price uncertainty and optimal operation of hydrogen storage-based intelligent parking lots for EVs. |
| Zhou et al. [19] | 38.67 | Secure and efficient vehicle-to-grid energy trading in cyber physical systems: Integration of blockchain and edge computing | The aim of the paper was to propose a secure and efficient V2G energy framework by exploring blockchain and edge computing. Energy trading is secured by exploiting consortium blockchain, and the successful probability of block creation can effectively be improved by using edge computing. |
| Helveston et al. [16] | 37.36 | Will subsidies drive electric vehicle adoption? Measuring consumer preferences in the US and China | The paper analysed consumer preferences for EVs in China and the USA. While subsidies in the two countries are the same, American consumers prefer low-range PHEVs despite subsidies, while Chinese consumers are willing to adopt today’s BEVs. |
| He et al. [17] | 36.62 | Optimal deployment of public charging stations for plug-in hybrid electric vehicles | The paper aimed to optimise public charging station allocation to maximise social welfare by modelling interactions between charging availability, electricity prices, and EV destination and route choices. The interactions lead to an equilibrium where equilibrium prices of electricity traffic and power flow distributions can be determined. |
| Featherman et al. [26] | 32.20 | The impact of new technologies on consumers beliefs: Reducing the perceived risks of electric vehicle adoption | The study developed a model for consumers deciding on their next electrified vehicle. It was found that social influences and trust in manufacturers influence EV adoption. |
| Dunn et al. [27] | 29.00 | Circularity of lithium-ion battery materials in electric vehicles | The paper examined the potential of a circular economy for lithium-ion batteries by analysing global material flows, emphasising the need for regional recycling and manufacturing infrastructure to support the sustainable adoption of EVs. |
| Li et al. [18] | 28.25 | Distribution locational marginal pricing for optimal electric vehicle charging management | The paper presented a distribution locational marginal pricing method to address congestion induced by EV loads in future power systems. It was shown that a decentralised mechanism ensures a socially optimum charging schedule as loads autonomously maximise their net surplus. |
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