Jingxue Xie
Biographic Data
| ID | 8964385 |
|---|---|
| NAME | Jingxue Xie |
| GIVEN NAMES | Jingxue |
| FAMILY NAME | Xie |
| SIGNATURE | XIE J |
| AFFILIATIONS | University of Toronto |
| ORCID | 0009-0006-0540-4372 |
| 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 |
Understanding the Internal Structure of Daily Activity Space from Anchor Regions
Activity space represents the spatiotemporal interaction between individuals and their environment. While most studies measure potential activity space using short-term data, few have defined or measured its actual internal structure. This study introduces “anchor regions” as the core areas where daily activities are concentrated, and conceptualizes the structure of an individual’s activity space by incorporating the concept of regular locations,…
A novel GCN-based framework for uncovering diurnal patterns and drivers of the surface urban heat island (Suhi) in hyper-dense cities
Amid accelerating global climate change and rapid urbanization, the surface urban heat island (SUHI) effect has emerged as a contributor to urban thermal stress in hyper-dense cities. However, accurately modeling SUHI remains challenging due to pronounced spatial dependence and nonlinear interactions among urban features. To address these challenges, this study develops a novel framework based on a graph convolutional network (GCN) that integrate…
Can transit-oriented development (TOD) cool the city? A multi-scale geospatial assessment of daytime surface heat exposure in Tokyo
● Links transit oriented development patterns to land surface temperature in Shinjuku ● Uses street view imagery, remote sensing and population data in one framework ● Shows well designed transit corridors can cool land surface by about 0.9°C ● Reveals that excessive density without greenery and shading increases urban heat ● Applies explainable machine learning to guide climate sensitive station area design Extreme heat is an escalating urban he…
Developing a Replicable ESG-Based Framework for Assessing Community Perception Using Street View Imagery and POI Data
Urban livability and sustainability are increasingly studied at the neighborhood scale, where built, social, and governance conditions shape residents’ everyday experiences. Yet existing assessment frameworks often fail to integrate subjective perceptions with multi-dimensional environmental indicators in replicable and scalable ways. To address this gap, this study develops an Environmental, Social, and Governance (ESG)-informed framework for ev…
No prominent works on this page.
Developing a Replicable ESG-Based Framework for Assessing Community Perception Using Street View Imagery and POI Data
Urban livability and sustainability are increasingly studied at the neighborhood scale, where built, social, and governance conditions shape residents’ everyday experiences. Yet existing assessment frameworks often fail to integrate subjective perceptions with multi-dimensional environmental indicators in replicable and scalable ways. To address this gap, this study develops an Environmental, Social, and Governance (ESG)-informed framework for ev…
Understanding the Internal Structure of Daily Activity Space from Anchor Regions
Activity space represents the spatiotemporal interaction between individuals and their environment. While most studies measure potential activity space using short-term data, few have defined or measured its actual internal structure. This study introduces “anchor regions” as the core areas where daily activities are concentrated, and conceptualizes the structure of an individual’s activity space by incorporating the concept of regular locations,…
A novel GCN-based framework for uncovering diurnal patterns and drivers of the surface urban heat island (Suhi) in hyper-dense cities
Amid accelerating global climate change and rapid urbanization, the surface urban heat island (SUHI) effect has emerged as a contributor to urban thermal stress in hyper-dense cities. However, accurately modeling SUHI remains challenging due to pronounced spatial dependence and nonlinear interactions among urban features. To address these challenges, this study develops a novel framework based on a graph convolutional network (GCN) that integrate…
Can transit-oriented development (TOD) cool the city? A multi-scale geospatial assessment of daytime surface heat exposure in Tokyo
● Links transit oriented development patterns to land surface temperature in Shinjuku ● Uses street view imagery, remote sensing and population data in one framework ● Shows well designed transit corridors can cool land surface by about 0.9°C ● Reveals that excessive density without greenery and shading increases urban heat ● Applies explainable machine learning to guide climate sensitive station area design Extreme heat is an escalating urban he…
Daytime (2 works) · Human Mobility and Location-Based Analysis (2 works) · Land Use and Ecosystem Services (2 works) · Urban heat island (2 works) · Urban Heat Island Mitigation (2 works) · Climate change (1 work) · Climate Change and Sustainable Development (1 work) · Cluster analysis (1 work) · Computer Science (1 work) · Geographic Information Systems Studies (1 work)