He Jin
Biographic Data
| ID | 6475933 |
|---|---|
| NAME | He Jin |
| GIVEN NAMES | He |
| FAMILY NAME | Jin |
| SIGNATURE | JIN H |
| AFFILIATIONS | University of South Florida |
| ORCID | 0000-0002-3475-5677 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 8 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Spatial Pattern and Socioeconomic Factors of 2022 Monkeypox Outbreak in the United States
The 2022 global outbreak of monkeypox (mpox) exhibited unprecedented characteristics and transmission dynamics that diverged from historical outbreaks of the disease. This study presents the first county-level spatial analysis of the 2022 mpox outbreak across five U.S. states. We employed spatial and statistical analyses to quantify the spatial patterns of the mpox infection rate and its relations with various socioeconomic and environmental vari…
Sustainable city development from the perspective of corporate green innovation and governance
Multi-Mode Huff-Based 2SFCA
The retail food environment draws much attention from scholars because it can shape individuals’ eating behaviors and health outcomes. Although much progress has been made, current retail food environment assessments mainly use simple food accessibility measures while overlooking the role of multiple transportation modes. This research proposed a multiple-mode Huff-based Two-step Floating Catchment Area (2SFCA) method to measure geographical acce…
Identifying urban households in relative poverty with multi-source data
Most existing poverty research focused on the identification of households in absolute poverty; few studies attempted to identify households in relative poverty (HRP). In this paper, we first developed an improved Bayes’s theorem algorithm to sense individuals’ spatio-temporal behavior characteristics via integrating mobile phone signaling, electricity consumption, and Points of Interest. We then utilized the improved random forest to identify HR…
SAR-Gi
Integrating multiple data to identify building functions in China’s urban villages
China’s urban villages have distinct characteristics compared with the ones in western countries. Identifying urban villages provides a basis for policymakers to evaluate and improve the effectiveness of urban planning in China and other developing countries. However, perhaps due to limitations of data acquisition among others, few urban studies have successfully identified urban villages at the building level. To fill the research gap, this pape…
Evaluating Consumer Nutrition Environment in Food Deserts and Food Swamps
This research examines the consumer nutrition environment in the selected neighborhoods identified as food deserts, food swamps, and food oases in Austin, Texas, by considering food availability, food price, food quality, and food labeling. A food auditing instrument M-TxNEA-S (He Jin, San Marcos, TX, USA) was developed to capture the unique dietary culture and food preferences in Texas. A total of 93 food items in 14 grocery stores and supermark…
Regionalization of school youth obesity and overweight in Texas by considering both body mass index and socioeconomic status
Identifying urban households in relative poverty with multi-source data
Most existing poverty research focused on the identification of households in absolute poverty; few studies attempted to identify households in relative poverty (HRP). In this paper, we first developed an improved Bayes’s theorem algorithm to sense individuals’ spatio-temporal behavior characteristics via integrating mobile phone signaling, electricity consumption, and Points of Interest. We then utilized the improved random forest to identify HR…
Regionalization of school youth obesity and overweight in Texas by considering both body mass index and socioeconomic status
SAR-Gi
Integrating multiple data to identify building functions in China’s urban villages
China’s urban villages have distinct characteristics compared with the ones in western countries. Identifying urban villages provides a basis for policymakers to evaluate and improve the effectiveness of urban planning in China and other developing countries. However, perhaps due to limitations of data acquisition among others, few urban studies have successfully identified urban villages at the building level. To fill the research gap, this pape…
Evaluating Consumer Nutrition Environment in Food Deserts and Food Swamps
This research examines the consumer nutrition environment in the selected neighborhoods identified as food deserts, food swamps, and food oases in Austin, Texas, by considering food availability, food price, food quality, and food labeling. A food auditing instrument M-TxNEA-S (He Jin, San Marcos, TX, USA) was developed to capture the unique dietary culture and food preferences in Texas. A total of 93 food items in 14 grocery stores and supermark…
Multi-Mode Huff-Based 2SFCA
The retail food environment draws much attention from scholars because it can shape individuals’ eating behaviors and health outcomes. Although much progress has been made, current retail food environment assessments mainly use simple food accessibility measures while overlooking the role of multiple transportation modes. This research proposed a multiple-mode Huff-based Two-step Floating Catchment Area (2SFCA) method to measure geographical acce…
Identifying urban households in relative poverty with multi-source data
Most existing poverty research focused on the identification of households in absolute poverty; few studies attempted to identify households in relative poverty (HRP). In this paper, we first developed an improved Bayes’s theorem algorithm to sense individuals’ spatio-temporal behavior characteristics via integrating mobile phone signaling, electricity consumption, and Points of Interest. We then utilized the improved random forest to identify HR…
Sustainable city development from the perspective of corporate green innovation and governance
Spatial Pattern and Socioeconomic Factors of 2022 Monkeypox Outbreak in the United States
The 2022 global outbreak of monkeypox (mpox) exhibited unprecedented characteristics and transmission dynamics that diverged from historical outbreaks of the disease. This study presents the first county-level spatial analysis of the 2022 mpox outbreak across five U.S. states. We employed spatial and statistical analyses to quantify the spatial patterns of the mpox infection rate and its relations with various socioeconomic and environmental vari…
Geography (6 works) · Medicine (5 works) · Urban Transport and Accessibility (5 works) · Business (4 works) · Biology (3 works) · Computer Science (3 works) · Population (3 works) · Socioeconomic status (3 works) · Sociology (3 works) · Cartography (2 works)