Chengxiang Zhuge
Biographic Data
| ID | 1340239 |
|---|---|
| NAME | Chengxiang Zhuge |
| GIVEN NAMES | Chengxiang |
| FAMILY NAME | Zhuge |
| SIGNATURE | ZHUGE C |
| AFFILIATIONS | Hong Kong Polytechnic University |
| ORCID | 0000-0002-9942-3462 |
| VERIFIED | Yes |
| TOTAL WORKS | 12 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 12 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Dynamic micro-simulation of domestic electricity consumption: A case of Beijing
Agent-based modelling enables the simulation of household energy consumption at the individual level, considering heterogeneity, interactions and dynamics. However, existing agent-based domestic energy consumption models fail to capture the influence of associated urban subsystems (e.g., population and land use). To fill this gap, we develop an empirically based electricity consumption model and integrate it into an urban microsimulation platform…
LLM-aided representation of human commuting patterns in 42 Chinese cities with open data
A global insight into integration of metro and electric vehicle charging stations
Market potential of hydrogen fuel cell vehicles in Beijing: A spatial agent-based model approach
Hydrogen fuel cell vehicles (HFCVs) are vital for advancing the hydrogen economy and decarbonizing the transportation sector. However, research on HFCV market dynamics in passenger vehicles is limited, especially incorporating both market competition from other vehicle types and the comprehensive supply–demand market dynamics. To bridge this gap, our study proposed a spatial agent-based model to simulate the HFCV market evolution, with the aim of…
Dominant charging location choice of commuters and non-commuters: A big data approach
Attention and attitudes of Chinese social media users towards autonomous vehicles: Sentimental, statistical and spatiotemporal perspectives
In recent years, autonomous driving technology has progressed rapidly, promising to transform current transportation systems significantly and attracting growing public attention. Previous studies have predominantly relied on interviews and surveys to examine public perceptions of autonomous vehicles (AVs), which come with inherent limitations. This study utilizes a substantial dataset of 616,355 samples from Sina Weibo, one of China’s most promi…
The association between travel demand of docked bike-sharing and the built environment: Evidence from seven US cities
Exploring the potential of sharing private charging posts: A data-driven micro-simulation approach
A Cross-Scale Representation of Tourist Activity Space
Destination, as a key concept in tourism geography, has largely determined the scale at which tourist activity space was modeled and studied. Existing studies usually focused on investigating tourists’ activities and movements either at the intradestination (e.g., within a city) or interdestination scale. Although useful in numerous research contexts, these models based on fixed spatial scales are incapable of portraying the complex spatial struc…
Uncovering travel and charging patterns of private electric vehicles with trajectory data: Evidence and policy implications
An improvement in Matsim computing time for large-scale travel behaviour microsimulation
Coupling activity-based models with dynamic traffic assignment appears to form a promising approach to investigating travel demand. However, such an integrated framework is generally time-consuming, especially for large-scale scenarios. This paper attempts to improve the performance of these kinds of integrated frameworks through some simple adjustments using MATSim as an example. We focus on two specific areas of the model—replanning and time st…
Exploring the Influence of Built Environment on Car Ownership and Use with a Spatial Multilevel Model: A Case Study of Changchun, China
Although the impacts of built environment on car ownership and use have been extensively studied, limited evidence has been offered for the role of spatial effects in influencing the interaction between built environment and travel behavior. Ignoring the spatial effects may lead to misunderstanding the role of the built environment and providing inconsistent transportation policies. In response to this, we try to employ a two-step modeling approa…
A Cross-Scale Representation of Tourist Activity Space
Destination, as a key concept in tourism geography, has largely determined the scale at which tourist activity space was modeled and studied. Existing studies usually focused on investigating tourists’ activities and movements either at the intradestination (e.g., within a city) or interdestination scale. Although useful in numerous research contexts, these models based on fixed spatial scales are incapable of portraying the complex spatial struc…
Exploring the Influence of Built Environment on Car Ownership and Use with a Spatial Multilevel Model: A Case Study of Changchun, China
Although the impacts of built environment on car ownership and use have been extensively studied, limited evidence has been offered for the role of spatial effects in influencing the interaction between built environment and travel behavior. Ignoring the spatial effects may lead to misunderstanding the role of the built environment and providing inconsistent transportation policies. In response to this, we try to employ a two-step modeling approa…
An improvement in Matsim computing time for large-scale travel behaviour microsimulation
Coupling activity-based models with dynamic traffic assignment appears to form a promising approach to investigating travel demand. However, such an integrated framework is generally time-consuming, especially for large-scale scenarios. This paper attempts to improve the performance of these kinds of integrated frameworks through some simple adjustments using MATSim as an example. We focus on two specific areas of the model—replanning and time st…
Uncovering travel and charging patterns of private electric vehicles with trajectory data: Evidence and policy implications
A Cross-Scale Representation of Tourist Activity Space
Destination, as a key concept in tourism geography, has largely determined the scale at which tourist activity space was modeled and studied. Existing studies usually focused on investigating tourists’ activities and movements either at the intradestination (e.g., within a city) or interdestination scale. Although useful in numerous research contexts, these models based on fixed spatial scales are incapable of portraying the complex spatial struc…
The association between travel demand of docked bike-sharing and the built environment: Evidence from seven US cities
Exploring the potential of sharing private charging posts: A data-driven micro-simulation approach
Market potential of hydrogen fuel cell vehicles in Beijing: A spatial agent-based model approach
Hydrogen fuel cell vehicles (HFCVs) are vital for advancing the hydrogen economy and decarbonizing the transportation sector. However, research on HFCV market dynamics in passenger vehicles is limited, especially incorporating both market competition from other vehicle types and the comprehensive supply–demand market dynamics. To bridge this gap, our study proposed a spatial agent-based model to simulate the HFCV market evolution, with the aim of…
Dominant charging location choice of commuters and non-commuters: A big data approach
Attention and attitudes of Chinese social media users towards autonomous vehicles: Sentimental, statistical and spatiotemporal perspectives
In recent years, autonomous driving technology has progressed rapidly, promising to transform current transportation systems significantly and attracting growing public attention. Previous studies have predominantly relied on interviews and surveys to examine public perceptions of autonomous vehicles (AVs), which come with inherent limitations. This study utilizes a substantial dataset of 616,355 samples from Sina Weibo, one of China’s most promi…
Dynamic micro-simulation of domestic electricity consumption: A case of Beijing
Agent-based modelling enables the simulation of household energy consumption at the individual level, considering heterogeneity, interactions and dynamics. However, existing agent-based domestic energy consumption models fail to capture the influence of associated urban subsystems (e.g., population and land use). To fill this gap, we develop an empirically based electricity consumption model and integrate it into an urban microsimulation platform…
LLM-aided representation of human commuting patterns in 42 Chinese cities with open data
A global insight into integration of metro and electric vehicle charging stations
Transportation and Mobility Innovations (7 works) · Business (6 works) · Engineering (6 works) · Geography (6 works) · Transport engineering (6 works) · Urban Transport and Accessibility (6 works) · Beijing (5 works) · Computer Science (5 works) · Electric Vehicles and Infrastructure (5 works) · Transportation Planning and Optimization (4 works)