Zijia Wang
Biographic Data
| ID | 6328673 |
|---|---|
| NAME | Zijia Wang |
| GIVEN NAMES | Zijia |
| FAMILY NAME | Wang |
| SIGNATURE | WANG Z |
| AFFILIATIONS | Beijing Jiaotong University |
| ORCID | 0000-0002-2594-0934 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Examining the relationship between the built environment and extreme commuting around subway stations
Predicting metabolic syndrome risk in Chinese adults using integrated features of movement behaviors and dietary intake
Machine learning provides a robust and complementary approach for capturing the complex, multi-dimensional nature of MetS risk factors. The findings highlight a conditional association between carbohydrate intake and sedentary behavior associated with metabolic risk in China's urbanizing population
Unraveling the impact of Covid‐19 on Beijing’s subway system using a causal machine learning analysis
The COVID-19 pandemic has significantly disrupted urban mobility patterns, particularly in public transportation systems. Capturing the immediate behavioral responses of populations to such disruptive events is crucial for understanding their true impact and informing rapid public health interventions. This study investigates the pandemic’s immediate impact on subway ridership in Beijing, utilizing a three-stage analytical framework that integrat…
Neighbourhood satisfaction in rural resettlement residential communities
Against the background of large-scale urbanisation and rural land expropriation, rural resettlement residential housing has been built to accommodate local rural residents in the peripheral areas of China. To explore the context-specific policy implications for improving neighbourhood satisfaction (NS) of residents in rural resettlement residential communities (RRRCs), this paper examines the determinants of NS, and their spatial effects, in rura…
Spatio-temporal analysis of rail station ridership determinants in the built environment
Tracking job and housing dynamics with smartcard data
Residential locations, the jobs–housing relationship, and commuting patterns are key elements to understand urban spatial structure and how city dwellers live. Their successive interaction is important for various fields including urban planning, transport, intraurban migration studies, and social science. However, understanding of the long-term trajectories of workplace and home location, and the resulting commuting patterns, is still limited du…
Passengers’ response to transit fare change
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Tracking job and housing dynamics with smartcard data
Residential locations, the jobs–housing relationship, and commuting patterns are key elements to understand urban spatial structure and how city dwellers live. Their successive interaction is important for various fields including urban planning, transport, intraurban migration studies, and social science. However, understanding of the long-term trajectories of workplace and home location, and the resulting commuting patterns, is still limited du…
Passengers’ response to transit fare change
Spatio-temporal analysis of rail station ridership determinants in the built environment
Neighbourhood satisfaction in rural resettlement residential communities
Against the background of large-scale urbanisation and rural land expropriation, rural resettlement residential housing has been built to accommodate local rural residents in the peripheral areas of China. To explore the context-specific policy implications for improving neighbourhood satisfaction (NS) of residents in rural resettlement residential communities (RRRCs), this paper examines the determinants of NS, and their spatial effects, in rura…
Unraveling the impact of Covid‐19 on Beijing’s subway system using a causal machine learning analysis
The COVID-19 pandemic has significantly disrupted urban mobility patterns, particularly in public transportation systems. Capturing the immediate behavioral responses of populations to such disruptive events is crucial for understanding their true impact and informing rapid public health interventions. This study investigates the pandemic’s immediate impact on subway ridership in Beijing, utilizing a three-stage analytical framework that integrat…
Examining the relationship between the built environment and extreme commuting around subway stations
Predicting metabolic syndrome risk in Chinese adults using integrated features of movement behaviors and dietary intake
Machine learning provides a robust and complementary approach for capturing the complex, multi-dimensional nature of MetS risk factors. The findings highlight a conditional association between carbohydrate intake and sedentary behavior associated with metabolic risk in China's urbanizing population
Urban Transport and Accessibility (5 works) · Computer Science (3 works) · Geography (3 works) · Public transport (3 works) · Traffic and Road Safety (3 works) · China (2 works) · Computer security (2 works) · Economics (2 works) · Engineering (2 works) · Human Mobility and Location-Based Analysis (2 works)