Tanhua Jin
Biographic Data
| ID | 6312407 |
|---|---|
| NAME | Tanhua Jin |
| GIVEN NAMES | Tanhua |
| FAMILY NAME | Jin |
| SIGNATURE | JIN T |
| AFFILIATIONS | Ghent University |
| ORCID | 0000-0001-6657-526X |
| VERIFIED | Yes |
| TOTAL WORKS | 11 |
| TOTAL CITATIONS | 11 |
| AUTHOR COUNT | 11 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Intelligent simulation of urban vacant land: A coupled DLPD and improved NSGA-III model with dual-scale objectives
Scientific redevelopment of urban vacant land is crucial for improving land use efficiency and enhancing the quality of human settlements. However, existing approaches often struggle to reconcile city-wide coordination with parcel-level adaptability, and tend to emphasize individual objectives at the expense of broader economic, social, and environmental outcomes. These limitations constrain their ability to support flexible and coordinated mixed…
Assessing spatial equity of elder care accessibility across income groups: Implications of the built environment
Does Telework Make People Experience More Segregation in Daily Activity Spaces
Telework reshapes daily mobility, but its implications for lived social exposure remain underexplored. This study examines whether and how telework affects experienced racial segregation by integrating socioeconomic characteristics, built‐environment context, and activity–travel behavior in a structural equation modeling analysis. Using pooled cross‐sectional data from the Puget Sound Regional Travel Surveys (2017, 2019, 2021), we distinguish res…
Modelling car dependence: Pathways to sustainable urban mobility
This study investigates car dependence for short trips (travel time ≤ 15 min) using an integrated Partial Least Squares-Structural Equation Modelling (PLS-SEM) and Artificial Neural Network (ANN) approach applied to Dutch travel diary data (ODiN 2022). The observed outcome of the present study demonstrates that short trips are associated with lower car dependence (car ownership and frequency of car use), particularly for non-work destinations (e.…
National-Scale analysis of transit-oriented development levels at high-speed rail stations in China
Differences in bike-sharing usage and its associations with station-surrounding characteristics: A multi-group analysis using machine learning techniques
The bike-sharing system offers a wide range of benefits to promote human mobility for all. However, many bike-sharing systems are most used by specific demographic groups (e.g., younger people and males), suggesting that the resulting benefits are not equally distributed among the public. We aim to empirically examine the differences in bike-sharing usage among varying demographic groups and its association with station-surrounding characteristic…
Comparing accessibility to high-speed rail stations by public transit and cars: A national-scale analysis
Is a 15-Minute City Within Reach? Measuring Multimodal Accessibility and Carbon Footprint in 12 Major American Cities
Investigating the Nonlinear Relationship Between Car Dependency and the Built Environment
Car-dominated daily travel has caused many severe and urgent urban problems across the world, and such travel patterns have been found to be related to the built environment. However, few existing studies have uncovered the nonlinear relationship between the built environment and car dependency using a machine learning method, thus failing to provide policymakers with nuanced evidence-based guidance on reducing car dependency. Using data from Pug…
Comparison of station-based and free-floating bikeshare systems as feeder modes to the metro
Do built environment factors have different effects on ridesourcing usage before and after the Covid-19 pandemic
Comparison of station-based and free-floating bikeshare systems as feeder modes to the metro
Is a 15-Minute City Within Reach? Measuring Multimodal Accessibility and Carbon Footprint in 12 Major American Cities
Do built environment factors have different effects on ridesourcing usage before and after the Covid-19 pandemic
Investigating the Nonlinear Relationship Between Car Dependency and the Built Environment
Car-dominated daily travel has caused many severe and urgent urban problems across the world, and such travel patterns have been found to be related to the built environment. However, few existing studies have uncovered the nonlinear relationship between the built environment and car dependency using a machine learning method, thus failing to provide policymakers with nuanced evidence-based guidance on reducing car dependency. Using data from Pug…
Comparison of station-based and free-floating bikeshare systems as feeder modes to the metro
Do built environment factors have different effects on ridesourcing usage before and after the Covid-19 pandemic
Comparing accessibility to high-speed rail stations by public transit and cars: A national-scale analysis
Is a 15-Minute City Within Reach? Measuring Multimodal Accessibility and Carbon Footprint in 12 Major American Cities
National-Scale analysis of transit-oriented development levels at high-speed rail stations in China
Differences in bike-sharing usage and its associations with station-surrounding characteristics: A multi-group analysis using machine learning techniques
The bike-sharing system offers a wide range of benefits to promote human mobility for all. However, many bike-sharing systems are most used by specific demographic groups (e.g., younger people and males), suggesting that the resulting benefits are not equally distributed among the public. We aim to empirically examine the differences in bike-sharing usage among varying demographic groups and its association with station-surrounding characteristic…
Intelligent simulation of urban vacant land: A coupled DLPD and improved NSGA-III model with dual-scale objectives
Scientific redevelopment of urban vacant land is crucial for improving land use efficiency and enhancing the quality of human settlements. However, existing approaches often struggle to reconcile city-wide coordination with parcel-level adaptability, and tend to emphasize individual objectives at the expense of broader economic, social, and environmental outcomes. These limitations constrain their ability to support flexible and coordinated mixed…
Assessing spatial equity of elder care accessibility across income groups: Implications of the built environment
Does Telework Make People Experience More Segregation in Daily Activity Spaces
Telework reshapes daily mobility, but its implications for lived social exposure remain underexplored. This study examines whether and how telework affects experienced racial segregation by integrating socioeconomic characteristics, built‐environment context, and activity–travel behavior in a structural equation modeling analysis. Using pooled cross‐sectional data from the Puget Sound Regional Travel Surveys (2017, 2019, 2021), we distinguish res…
Modelling car dependence: Pathways to sustainable urban mobility
This study investigates car dependence for short trips (travel time ≤ 15 min) using an integrated Partial Least Squares-Structural Equation Modelling (PLS-SEM) and Artificial Neural Network (ANN) approach applied to Dutch travel diary data (ODiN 2022). The observed outcome of the present study demonstrates that short trips are associated with lower car dependence (car ownership and frequency of car use), particularly for non-work destinations (e.…
Urban Transport and Accessibility (9 works) · Engineering (6 works) · Transport engineering (6 works) · Transportation Planning and Optimization (6 works) · Geography (5 works) · Environmental Science (4 works) · Built environment (3 works) · Civil engineering (3 works) · Computer Science (3 works) · Public transport (3 works)