The COVID-19 pandemic and urban density: a systematic literature review DOI
Pouria Boujari, Sajad Vahabi, Fatemeh Mahdi

и другие.

Proceedings of the Institution of Civil Engineers - Urban Design and Planning, Год журнала: 2023, Номер 176(2), С. 77 - 91

Опубликована: Март 30, 2023

The role of density in the spread coronavirus pandemic is among most critical concerns urban designers and planners. To clarify this role, systematic literature review conducted on COVID-19 infection mortality rates context design planning. studies were searched through three databases including Scopus, PubMed, Web Science March 2022 screened reviewed based Preferred Reporting Items for Systematic Reviews Meta-Analyses (PRISMA) guidelines. In total, 58 3344 had pre-defined criteria. results categorised into four sections: population density, building built environment factors, sociodemographic factors. Finally, directions are provided future due to research gaps.

Язык: Английский

Effects of the built environment and human factors on the spread of COVID-19: A systematic literature review DOI
Mehdi Alidadi, Ayyoob Sharifi

The Science of The Total Environment, Год журнала: 2022, Номер 850, С. 158056 - 158056

Опубликована: Авг. 17, 2022

Язык: Английский

Процитировано

70

Integration of Moran’s I, geographically weighted regression (GWR), and ordinary least square (OLS) models in spatiotemporal modeling of COVID-19 outbreak in Qom and Mazandaran Provinces, Iran DOI Open Access
Vahid Isazade, Abdul Baser Qasimi, Pinliang Dong

и другие.

Modeling Earth Systems and Environment, Год журнала: 2023, Номер 9(4), С. 3923 - 3937

Опубликована: Фев. 15, 2023

Язык: Английский

Процитировано

27

Tokyo's COVID-19: An urban perspective on factors influencing infection rates in a global city DOI Creative Commons
Mehdi Alidadi, Ayyoob Sharifi, Daisuke Murakami

и другие.

Sustainable Cities and Society, Год журнала: 2023, Номер 97, С. 104743 - 104743

Опубликована: Июнь 28, 2023

This research investigates the relationship between COVID-19 and urban factors in Tokyo. To understand spread dynamics of COVID-19, study examined 53 variables (including population density, socio-economic status, housing conditions, transportation, land use) municipalities Tokyo prefecture. Using spatial models, analysed patterns predictors infection rates. The findings revealed that cases were concentrated central Tokyo, with clustering levels decreasing after outbreaks. rates higher areas a greater density retail stores, restaurants, health facilities, workers those sectors, public transit use, telecommuting. However, household crowding was negatively associated. also found telecommuting rate strongest according to regression model time-fixed effects, which had best validation stability. study's results could be useful for researchers policymakers, particularly because Japan have unique circumstances, as there no mandatory lockdown during pandemic.

Язык: Английский

Процитировано

19

Investigating consistent effects of the urban built environment and human mobility on COVID-19 outbreaks: A comprehensive meta-analysis DOI
Mijin Choo, Hyewon Yoon, Dong Keun Yoon

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 102, С. 105226 - 105226

Опубликована: Янв. 21, 2024

Язык: Английский

Процитировано

7

Neighborhood-level inequalities and influencing factors of COVID-19 incidence in Berlin based on Bayesian spatial modelling DOI Creative Commons
Sida Zhuang, Kathrin Wolf,

Tillman Schmitz

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 104, С. 105301 - 105301

Опубликована: Фев. 23, 2024

Numerous studies have explored influencing factors in COVID-19, yet empirical evidence on spatiotemporal dynamics of COVID-19 inequalities concerning both socioeconomic and environmental at an intra-urban scale is lacking. This study, therefore, focuses neighborhood-level spatial the incidences relation to for Berlin-Neukölln, Germany, covering six pandemic periods (March 2020 December 2021). Spatial Bayesian negative binomial mixed-effect models were employed identify risk patterns different periods. We identified that (1) relative risks varied across time space, with sociodemographic exerting a stronger influence over features; (2) as most predictors, population migrant backgrounds was positively associated, 65 negatively associated incidence; (3) certain neighborhoods consistently faced elevated incidence. study highlights potential structural health within communities, lower status higher incidence diverse Our findings indicate locally tailored interventions citizens are essential address foster more sustainable urban environment.

Язык: Английский

Процитировано

7

Big data-driven spatio-temporal heterogeneity analysis of Beijing's catering service industry during the COVID-19 pandemic DOI Creative Commons

Haichao Jia,

Minrui Zheng, Peipei Wang

и другие.

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Янв. 6, 2024

The Catering Service Industry (CSI) experienced profound impacts due to the COVID-19 pandemic. However, long-term and multi-timepoint analysis using big data remained limited, influencing governmental decision-making. We applied Kernel Density Estimation, Shannon Diversity Index, Geographic detector explore spatial heterogeneity determinants of CSI in Beijing during pandemic, with monthly granularity. temporal-spatial dynamics presented a "W"-shaped trend from 2018 2023, pivotal shifts aligning key pandemic stages. Spatial characteristics exhibited heterogeneity, greater stability city center more pronounced peripheral urban zones. Districts facing intricate outbreaks showed lower catering income, Chinese eateries heightened resilience compared others. displayed strong interconnections living service sectors. Development each district was influenced by economic level, population distribution, facilities convenience, risk Dominant factors included total retail sales consumer goods, permanent population, average Baidu Heat density transportation facilities, infection cases consecutive days confirmed existing. Consequently, we suggested seizing post-pandemic recovery as an avenue unlock CSI's substantial potential, ushering fresh phase growth.

Язык: Английский

Процитировано

6

Driving forces analysis of urban ground deformation using satellite monitoring and multiscale geographically weighted regression DOI
Limao Zhang, Yongsheng Li,

Rongyao Li

и другие.

Measurement, Год журнала: 2023, Номер 214, С. 112778 - 112778

Опубликована: Апрель 1, 2023

Язык: Английский

Процитировано

12

Investigating the Role of Urban Factors in COVID-19 Transmission During the Pre- and Post-Omicron Periods: A Case Study of South Korea DOI Open Access

Seung-A Shin,

Jaewoong Won

Sustainability, Год журнала: 2025, Номер 17(5), С. 2005 - 2005

Опубликована: Фев. 26, 2025

While the literature has investigated associations between urban environments and COVID-19 infection, most studies primarily focused on density factors early outbreaks, often reporting mixed results. We examined how diverse impact cases across 229 administrative districts in South Korea during Pre-Omicron Post-Omicron periods. Real-time big data (Wi-Fi, GPS, credit card transactions) were integrated to capture dynamic mobility economic activities. Using negative binomial regression random forest modeling, we analyzed within D-variable framework: (e.g., housing density), diversity land-use mix), design street connectivity), destination accessibility cultural community facilities). The results revealed consistent significance of destination-related analytic approaches transmission phases, but specific varied over time. Residential population densities more related phase, while employment levels facilities became relevant later phase. Traffic volume local consumption appeared important, though their is not models. Our findings highlight need for adaptive planning strategies public health policies that consider both static minimize disease risks sustaining vitality evolving pandemic.

Язык: Английский

Процитировано

0

COVID-19 and Urban Vitality: The Association Between Built Environment Elements and Changes in Local Points of Interest Using Social Media Data in South Korea DOI
You‐Jung Ha, Heechul Kim

Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106271 - 106271

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Factors influencing urban socioeconomic resilience after the withdrawal of nonpharmaceutical interventions: Evidence from intra-city travel intensity in China DOI
Qingyun Tang, Tao Wang, Bingsheng Liu

и другие.

Journal of Transport Geography, Год журнала: 2025, Номер 124, С. 104172 - 104172

Опубликована: Март 5, 2025

Язык: Английский

Процитировано

0