Zixin Feng
Email: z.feng.1@research.gla.ac.uk
Adress: Urban Big Data Centre, 7 Lilybank Gardens, University of Glasgow, Glasgow, G12 8RZ
Research Title: Future Deployment of EV Charging Infrastructures
Research title: Exploring the Electric Vehicle Driver Behaviours for the Sustainable Future of Charging Infrastructure
Research summary
Zixin's research aims to explore the behaviour patterns of electric vehicles (EV) and find the future deployment of charging infrastructure. She also aims to discover how the new deployment of charging infrastructures can affect the adoption rate of EVs.
Publications
2026
Feng, Zixin ORCID: https://orcid.org/0009-0003-7539-9917, Zhao, Qunshan
ORCID: https://orcid.org/0000-0002-5549-9457 and Heppenstall, Alison
ORCID: https://orcid.org/0000-0002-0663-3437
(2026)
Evaluating RL and Rule-Based Agents for Replicating Electric Vehicle Charging Behaviours.
In: 20th Social Simulation Conference (SSC 2025), Delft, the Netherlands, 25 - 29 Aug 2025,
pp. 137-146.
ISBN 9783032317117
(doi: 10.1007/978-3-032-31712-4_10)
Feng, Zixin ORCID: https://orcid.org/0009-0003-7539-9917, Zhao, Qunshan
ORCID: https://orcid.org/0000-0002-5549-9457 and Heppenstall, Alison
ORCID: https://orcid.org/0000-0002-0663-3437
(2026)
Replicating the behaviour of electric vehicle drivers using an agent-based reinforcement learning model.
Environment and Planning B: Urban Analytics and City Science,
(doi: 10.1177/23998083261455937)
(Early Online Publication)
Feng, Zixin ORCID: https://orcid.org/0009-0003-7539-9917, Zhao, Qunshan
ORCID: https://orcid.org/0000-0002-5549-9457 and Heppenstall, Alison
ORCID: https://orcid.org/0000-0002-0663-3437
(2026)
Exploring the influencing factors of public electric vehicle charger usage in Great Britain.
Journal of Transport Geography, 134,
104667.
(doi: 10.1016/j.jtrangeo.2026.104667)
Feng, Zixin ORCID: https://orcid.org/0009-0003-7539-9917, Zhao, Qunshan
ORCID: https://orcid.org/0000-0002-5549-9457 and Heppenstall, Alison
ORCID: https://orcid.org/0000-0002-0663-3437
(2026)
Using agent-based models to simulate the electric vehicle driving behaviours in Great Britain.
Cities, 172,
106864.
(doi: 10.1016/j.cities.2026.106864)
2025
Feng, Zixin ORCID: https://orcid.org/0009-0003-7539-9917, Zhao, Qunshan
ORCID: https://orcid.org/0000-0002-5549-9457 and Heppenstall, Alison
ORCID: https://orcid.org/0000-0002-0663-3437
(2025)
Exploring the Complex Behaviours of Electric Vehicle Drivers Based on an Agent-based Reinforcement Learning Method.
In: 19th Annual Social Simulation Conference (SSC 2024), Cracow, Poland, 16-20 Sep 2024,
pp. 113-127.
ISBN 9783031917820
(doi: 10.1007/978-3-031-91782-0_8)
Feng, Zixin ORCID: https://orcid.org/0009-0003-7539-9917, Zhao, Qunshan
ORCID: https://orcid.org/0000-0002-5549-9457 and Heppenstall, Alison
ORCID: https://orcid.org/0000-0002-0663-3437
(2025)
Exploring the Influencing Factors of Public Electric Vehicle Charger Usage in Great Britain.
In: CUPUM 2025 The 19th International Conference on Computational Urban Planning and Urban Management, UCL, London UK, 23-27 June 2025,
(doi: 10.17605/OSF.IO/ABYQH)
2024
Feng, Zixin ORCID: https://orcid.org/0009-0003-7539-9917, Xian, Xinyan, Gamal, Yahya
ORCID: https://orcid.org/0000-0003-2370-6172, Zhao, Qunshan
ORCID: https://orcid.org/0000-0002-5549-9457 and Heppenstall, Alison
ORCID: https://orcid.org/0000-0002-0663-3437
(2024)
Optimizing the Locations of Electric Vehicle Charging Stations in Georgia, USA.
In: 32nd ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL '24), Atlanta, GA, USA, 29 Oct - 01 Nov 2024,
pp. 733-736.
ISBN 9798400711077
(doi: 10.1145/3678717.3700831)
2023
Feng, Zixin ORCID: https://orcid.org/0009-0003-7539-9917, Zhao, Qunshan
ORCID: https://orcid.org/0000-0002-5549-9457 and Heppenstall, Alison
ORCID: https://orcid.org/0000-0002-0663-3437
(2023)
Understanding the Complex Behaviours of Electric Vehicle Drivers with Agent-Based Models in Glasgow.
In: 12th International Conference on Geographic Information Science (GIScience 2023), Leeds, UK, 14-19 Sept 2023,
29:1-29:6.
ISBN 9783959772884
(doi: 10.4230/LIPIcs.GIScience.2023.29)
Articles
Feng, Zixin ORCID: https://orcid.org/0009-0003-7539-9917, Zhao, Qunshan
ORCID: https://orcid.org/0000-0002-5549-9457 and Heppenstall, Alison
ORCID: https://orcid.org/0000-0002-0663-3437
(2026)
Replicating the behaviour of electric vehicle drivers using an agent-based reinforcement learning model.
Environment and Planning B: Urban Analytics and City Science,
(doi: 10.1177/23998083261455937)
(Early Online Publication)
Feng, Zixin ORCID: https://orcid.org/0009-0003-7539-9917, Zhao, Qunshan
ORCID: https://orcid.org/0000-0002-5549-9457 and Heppenstall, Alison
ORCID: https://orcid.org/0000-0002-0663-3437
(2026)
Exploring the influencing factors of public electric vehicle charger usage in Great Britain.
Journal of Transport Geography, 134,
104667.
(doi: 10.1016/j.jtrangeo.2026.104667)
Feng, Zixin ORCID: https://orcid.org/0009-0003-7539-9917, Zhao, Qunshan
ORCID: https://orcid.org/0000-0002-5549-9457 and Heppenstall, Alison
ORCID: https://orcid.org/0000-0002-0663-3437
(2026)
Using agent-based models to simulate the electric vehicle driving behaviours in Great Britain.
Cities, 172,
106864.
(doi: 10.1016/j.cities.2026.106864)
Conference Proceedings
Feng, Zixin ORCID: https://orcid.org/0009-0003-7539-9917, Zhao, Qunshan
ORCID: https://orcid.org/0000-0002-5549-9457 and Heppenstall, Alison
ORCID: https://orcid.org/0000-0002-0663-3437
(2026)
Evaluating RL and Rule-Based Agents for Replicating Electric Vehicle Charging Behaviours.
In: 20th Social Simulation Conference (SSC 2025), Delft, the Netherlands, 25 - 29 Aug 2025,
pp. 137-146.
ISBN 9783032317117
(doi: 10.1007/978-3-032-31712-4_10)
Feng, Zixin ORCID: https://orcid.org/0009-0003-7539-9917, Zhao, Qunshan
ORCID: https://orcid.org/0000-0002-5549-9457 and Heppenstall, Alison
ORCID: https://orcid.org/0000-0002-0663-3437
(2025)
Exploring the Complex Behaviours of Electric Vehicle Drivers Based on an Agent-based Reinforcement Learning Method.
In: 19th Annual Social Simulation Conference (SSC 2024), Cracow, Poland, 16-20 Sep 2024,
pp. 113-127.
ISBN 9783031917820
(doi: 10.1007/978-3-031-91782-0_8)
Feng, Zixin ORCID: https://orcid.org/0009-0003-7539-9917, Zhao, Qunshan
ORCID: https://orcid.org/0000-0002-5549-9457 and Heppenstall, Alison
ORCID: https://orcid.org/0000-0002-0663-3437
(2025)
Exploring the Influencing Factors of Public Electric Vehicle Charger Usage in Great Britain.
In: CUPUM 2025 The 19th International Conference on Computational Urban Planning and Urban Management, UCL, London UK, 23-27 June 2025,
(doi: 10.17605/OSF.IO/ABYQH)
Feng, Zixin ORCID: https://orcid.org/0009-0003-7539-9917, Xian, Xinyan, Gamal, Yahya
ORCID: https://orcid.org/0000-0003-2370-6172, Zhao, Qunshan
ORCID: https://orcid.org/0000-0002-5549-9457 and Heppenstall, Alison
ORCID: https://orcid.org/0000-0002-0663-3437
(2024)
Optimizing the Locations of Electric Vehicle Charging Stations in Georgia, USA.
In: 32nd ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL '24), Atlanta, GA, USA, 29 Oct - 01 Nov 2024,
pp. 733-736.
ISBN 9798400711077
(doi: 10.1145/3678717.3700831)
Feng, Zixin ORCID: https://orcid.org/0009-0003-7539-9917, Zhao, Qunshan
ORCID: https://orcid.org/0000-0002-5549-9457 and Heppenstall, Alison
ORCID: https://orcid.org/0000-0002-0663-3437
(2023)
Understanding the Complex Behaviours of Electric Vehicle Drivers with Agent-Based Models in Glasgow.
In: 12th International Conference on Geographic Information Science (GIScience 2023), Leeds, UK, 14-19 Sept 2023,
29:1-29:6.
ISBN 9783959772884
(doi: 10.4230/LIPIcs.GIScience.2023.29)
Research datasets
2025
Urban Big Data Centre (UBDC), , Zhao, Q. and Feng, Z. (2025) ChargePoint charging session data. [Data Collection]