Zixin Feng
Biographic Data
| ID | 4895452 |
|---|---|
| NAME | Zixin Feng |
| GIVEN NAMES | Zixin |
| FAMILY NAME | Feng |
| SIGNATURE | FENG Z |
| AFFILIATIONS | Urban Big Data Centre |
| ORCID | 0009-0003-7539-9917 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Exploring the influencing factors of public electric vehicle charger usage in Great Britain
Electric vehicle adoption in the UK has reached a bottleneck due to the limited availability of public chargers. Understanding the usage patterns of existing public chargers and the factors associated with them is necessary for planning future charging infrastructure. Using charger availability data from 4566 public EV chargers in Great Britain, collected at 15-min intervals between December 6, 2023, and March 31, 2024, we analysed usage patterns…
Replicating the behaviour of electric vehicle drivers using an agent-based reinforcement learning model
Despite the rapid expansion of electric vehicle (EV) charging networks, questions remain about their efficiency in meeting the growing needs of EV drivers. Previous rule-based ABMs have struggled to capture the adaptive behaviours of human drivers. Although reinforcement learning has been applied in EV simulation studies, its application has primarily focused on optimising fleet operations rather than modelling private drivers who make independen…
Using agent-based models to simulate the electric vehicle driving behaviours in Great Britain
With the growing adoption of electric vehicles (EVs) and the green transition of transport sectors, understanding the behaviours and charging demand of EV drivers has become increasingly important, particularly for the efficient deployment of public charging infrastructure. While previous studies have used Agent-Based Models (ABMs) to explore these patterns, many studies rely on hypothetical networks or city-scale road systems. This limits their …
Leave or Stay? Community Environment Change and Resident Mobility in Tourism Gentrification
Residential mobility is a common phenomenon of tourism gentrification that has been extensively studied from social, economic, and political perspectives, leaving community psychology untouched. This study introduces a theoretical model that assesses the intention of residents to relocate by examining their perceptions of community change and relative deprivation—the comparison of one's own or another's circumstances to determine whether they are…
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Leave or Stay? Community Environment Change and Resident Mobility in Tourism Gentrification
Residential mobility is a common phenomenon of tourism gentrification that has been extensively studied from social, economic, and political perspectives, leaving community psychology untouched. This study introduces a theoretical model that assesses the intention of residents to relocate by examining their perceptions of community change and relative deprivation—the comparison of one's own or another's circumstances to determine whether they are…
Exploring the influencing factors of public electric vehicle charger usage in Great Britain
Electric vehicle adoption in the UK has reached a bottleneck due to the limited availability of public chargers. Understanding the usage patterns of existing public chargers and the factors associated with them is necessary for planning future charging infrastructure. Using charger availability data from 4566 public EV chargers in Great Britain, collected at 15-min intervals between December 6, 2023, and March 31, 2024, we analysed usage patterns…
Replicating the behaviour of electric vehicle drivers using an agent-based reinforcement learning model
Despite the rapid expansion of electric vehicle (EV) charging networks, questions remain about their efficiency in meeting the growing needs of EV drivers. Previous rule-based ABMs have struggled to capture the adaptive behaviours of human drivers. Although reinforcement learning has been applied in EV simulation studies, its application has primarily focused on optimising fleet operations rather than modelling private drivers who make independen…
Using agent-based models to simulate the electric vehicle driving behaviours in Great Britain
With the growing adoption of electric vehicles (EVs) and the green transition of transport sectors, understanding the behaviours and charging demand of EV drivers has become increasingly important, particularly for the efficient deployment of public charging infrastructure. While previous studies have used Agent-Based Models (ABMs) to explore these patterns, many studies rely on hypothetical networks or city-scale road systems. This limits their …
Electric vehicle (3 works) · Electric Vehicles and Infrastructure (3 works) · Business (2 works) · Transportation and Mobility Innovations (2 works) · Destinations (1 work) · Diverse Aspects of Tourism Research (1 work) · Driving range (1 work) · Economic geography (1 work) · Economic growth (1 work) · Economics (1 work)