Yatao Zhang
Biographic Data
| ID | 3584390 |
|---|---|
| NAME | Yatao Zhang |
| GIVEN NAMES | Yatao |
| FAMILY NAME | Zhang |
| SIGNATURE | ZHANG Y |
| AFFILIATIONS | ETH Zurich |
| ORCID | 0000-0001-5701-2836 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 8 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Uncovering nonlinear urban factors of homelessness
Urban homelessness is a complex issue rooted in structural inequalities and spatial disparities, significantly affecting urban life and well-being. Existing research often relies on survey-based or linear regression methods, which are limited in scope, coverage, and their ability to capture nonlinear associations. This study addresses these gaps by combining homeless incident reports from New York City’s 311 service with multi-source urban big da…
Assessing nighttime homeless shelter accessibility and its socioeconomic associations in Los Angeles
Is Net Carbon Goal an accounting game? Insights from supply-demand interactions in carbon sequestration service
From impact to action
From Street View Imagery to the Countryside
Evaluating residents’ subjective perceptions of the rural environment is crucial for formulating effective rural planning. Due to the difficulty in obtaining rural data and the limitations of traditional questionnaire survey methods, existing research mostly focuses on small-scale perception evaluations in specific areas, making it difficult to reveal rural perception characteristics at the regional scale. To address this issue, our study propose…
Resilience Patterns of Multiscale Human Mobility Under Extreme Rainfall Events Using Massive Individual Trajectory Data
Exploring the dose-response of landscape preference
Leveraging context-adjusted nighttime light data for socioeconomic explanations of global urban resilience
Urban resilience, crucial for achieving sustainable development goals, entails the adaptation and recovery of urban systems from external shocks, such as the recent global pandemic. To investigate the response of urban systems to COVID-19, this study employs context-adjusted nighttime light data to model global urban resilience by combining an evolving urban resilience metric (EURm) with the shape similarity of resilience curves. Random effect an…
From Street View Imagery to the Countryside
Evaluating residents’ subjective perceptions of the rural environment is crucial for formulating effective rural planning. Due to the difficulty in obtaining rural data and the limitations of traditional questionnaire survey methods, existing research mostly focuses on small-scale perception evaluations in specific areas, making it difficult to reveal rural perception characteristics at the regional scale. To address this issue, our study propose…
Exploring the dose-response of landscape preference
Leveraging context-adjusted nighttime light data for socioeconomic explanations of global urban resilience
Urban resilience, crucial for achieving sustainable development goals, entails the adaptation and recovery of urban systems from external shocks, such as the recent global pandemic. To investigate the response of urban systems to COVID-19, this study employs context-adjusted nighttime light data to model global urban resilience by combining an evolving urban resilience metric (EURm) with the shape similarity of resilience curves. Random effect an…
From Street View Imagery to the Countryside
Evaluating residents’ subjective perceptions of the rural environment is crucial for formulating effective rural planning. Due to the difficulty in obtaining rural data and the limitations of traditional questionnaire survey methods, existing research mostly focuses on small-scale perception evaluations in specific areas, making it difficult to reveal rural perception characteristics at the regional scale. To address this issue, our study propose…
Resilience Patterns of Multiscale Human Mobility Under Extreme Rainfall Events Using Massive Individual Trajectory Data
Uncovering nonlinear urban factors of homelessness
Urban homelessness is a complex issue rooted in structural inequalities and spatial disparities, significantly affecting urban life and well-being. Existing research often relies on survey-based or linear regression methods, which are limited in scope, coverage, and their ability to capture nonlinear associations. This study addresses these gaps by combining homeless incident reports from New York City’s 311 service with multi-source urban big da…
Assessing nighttime homeless shelter accessibility and its socioeconomic associations in Los Angeles
Is Net Carbon Goal an accounting game? Insights from supply-demand interactions in carbon sequestration service
From impact to action
Geography (4 works) · Land Use and Ecosystem Services (4 works) · Psychology (4 works) · Economics (3 works) · Cartography (2 works) · Computer Science (2 works) · Counterfactual thinking (2 works) · Econometrics (2 works) · Environmental resource management (2 works) · Homelessness and Social Issues (2 works)