Urban Spatial Structure and Carbon Emissions: A Meta-Analytic Review DOI
Mijin Choo,

E. Park,

Ziqiang Han

et al.

Published: Jan. 1, 2024

Language: Английский

Explaining the Relationship Between the Per Capita Availability Level of Services Land Uses and the Number of Covid-19 Cases in Urban Areas DOI Creative Commons

Mohammadhosein Pourhasanzadeh,

Ghader Ahmadi,

Farshid Aram

et al.

Regional Science Policy & Practice, Journal Year: 2025, Volume and Issue: unknown, P. 100177 - 100177

Published: Jan. 1, 2025

Language: Английский

Citations

0
Mental health facility visits before and after the outbreak of COVID-19: The role of walkable built environment DOI

Chaeyeon Han,

Bon Woo Koo, Uijeong Hwang

et al.

Journal of Transport & Health, Journal Year: 2025, Volume and Issue: 42, P. 102037 - 102037

Published: March 26, 2025

Language: Английский

Citations

0
Insights into the risk of COVID-19 infection in urban neighborhood and its environmental influence factors:A novel approach DOI
Peng Xiao,

Dongrui Zhao,

Shouyun Shen

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 106, P. 105383 - 105383

Published: March 27, 2024

Language: Английский

Citations

0
Disentangling the direct and indirect impacts of non-pharmaceutical interventions on production activities and carbon emissions DOI
Chengyu He, Xiao Zhou, Yujun Huang

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 106, P. 105388 - 105388

Published: March 28, 2024

Language: Английский

Citations

0
Deciphering the Covid-19 Density Puzzle: A Meta-analysis Approach DOI

Prasun Singh,

Alok Kumar Mishra

Social Science & Medicine, Journal Year: 2024, Volume and Issue: 363, P. 117485 - 117485

Published: Nov. 12, 2024

Language: Английский

Citations

0
Optimizing county-level infectious respiratory disease forecasts: a pandemic case study integrating social media-based physical and social connectivity networks DOI Creative Commons
Fengrui Jing, Zhenlong Li, Shan Qiao

et al.

International Journal of Digital Earth, Journal Year: 2024, Volume and Issue: 17(1)

Published: Dec. 4, 2024

Forecasting infectious respiratory diseases is crucial for effective prevention and intervention strategies. However, existing time series forecasting models that incorporate human mobility data have faced challenges in making localized predictions on a large scale across the country due to costs constraints. Using COVID-19 pandemic as case study, this research explores whether integrating social media-based place connectivity networks can improve of disease transmission at county level various regions. Place networks, derived from Twitter users tweets, based Facebook interactions, were used map spatial linkages between locations. These integrated into weekly incidence 2,927 U.S. counties using Long Short-Term Memory (LSTM) models. The combined connectivity-weighted model significantly enhanced prediction accuracy, reducing Mean Absolute Percentage Error (MAPE) by 49.38% 96.62% counties, with greatest improvements observed urban Northeastern counties. results demonstrate combining enhances offering scalable sustainable solution diverse geographic areas publicly accessible media data.

Language: Английский

Citations

0
Urban Spatial Structure and Carbon Emissions: A Meta-Analytic Review DOI
Mijin Choo,

E. Park,

Ziqiang Han

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

0