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

E. Park,

Ziqiang Han

и другие.

Опубликована: Янв. 1, 2024

Язык: 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

и другие.

Regional Science Policy & Practice, Год журнала: 2025, Номер unknown, С. 100177 - 100177

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

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

и другие.

Journal of Transport & Health, Год журнала: 2025, Номер 42, С. 102037 - 102037

Опубликована: Март 26, 2025

Язык: Английский

Процитировано

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

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 106, С. 105383 - 105383

Опубликована: Март 27, 2024

Язык: Английский

Процитировано

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

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 106, С. 105388 - 105388

Опубликована: Март 28, 2024

Язык: Английский

Процитировано

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

Prasun Singh,

Alok Kumar Mishra

Social Science & Medicine, Год журнала: 2024, Номер 363, С. 117485 - 117485

Опубликована: Ноя. 12, 2024

Язык: Английский

Процитировано

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

и другие.

International Journal of Digital Earth, Год журнала: 2024, Номер 17(1)

Опубликована: Дек. 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.

Язык: Английский

Процитировано

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

E. Park,

Ziqiang Han

и другие.

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0