Deep visual social distancing monitoring to combat COVID-19: A comprehensive survey [0.03%]
深度视觉社交距离监测以抗击COVID-19：全面调查
Yassine Himeur,Somaya Al-Maadeed,Noor Almaadeed et al.
Yassine Himeur et al.
Since the start of the COVID-19 pandemic, social distancing (SD) has played an essential role in controlling and slowing down the spread of the virus in smart cities. To ensure the respect of SD in public areas, visual SD monitoring (VSDM) ...
New sights on the impact of spatial composition of production factors for socioeconomic recovery in the post-epidemic era: a case study of cities in central and eastern China [0.03%]
后疫情时代经济社会恢复的空间因素组合影响新认知——以中国中部和东部城市为例
Shidong Liu,Jie Zhang,Jianjun Zhang
Shidong Liu
The COVID-19 pandemic led to a sharp economic contraction. A comprehensive understanding of the relationship between the spatial composition of production factor (SCPF) and socioeconomic recovery is still missing. Here, we applied the contr...
Hamid R Sayarshad
Hamid R Sayarshad
During a pandemic, various resources, including personal protective equipment (PPE), are required to protect people and healthcare workers from getting infected. Due to the high demand and limited supply chain, countries experience a shorta...
Links between the pandemic and urban green spaces, a perspective on spatial indices of landscape garden cities in China [0.03%]
疫情下的城市绿地关系述评——中国景观花园城市的视角及空间指标体系探索
Anqi Ding,Jeremy Cenci,Jiazhen Zhang
Anqi Ding
The COVID-19 pandemic has inevitably changed people's lifestyles and demands for urban green space and public open space. The National Landscape Garden Cities in China (NLGCC) policy is one of the key development models in China aimed at bu...
The impact of the COVID-19 pandemic on the behaviour of bike sharing users [0.03%]
新冠疫情对自行车共享用户行为的影响分析
Yan Chen,Xinlu Sun,Muhammet Deveci et al.
Yan Chen et al.
Globally most governments implemented a 'Working from Home' (home office) strategy to contain the spread of the coronavirus in 2020 in order to ensure public safety and minimize the transmission of the virus. Unsurprisingly studies have fou...
Evaluating risk of SARS-CoV-2 infection of the elderly in the public bus under personalized air supply [0.03%]
个性化气流供应条件下老年群体在公共公交车内感染SARS-CoV-2风险评价
Dan Mei,Wenzhu Duan,Yao Li et al.
Dan Mei et al.
In developing countries, public transportation is the first choice for the elderly because of its convenience and cheapness. The high density population of public transportation increases the risk of passengers contracting infectious diseas...
Human mobility behavior in COVID-19: A systematic literature review and bibliometric analysis [0.03%]
关于COVID-19期间人类出行行为的系统文献综述及文献计量分析
Francisco Benita
Francisco Benita
This article maps the scientific literature in human mobility behavior in the context of the current pandemic. Through bibliometrics, we analyze the content of published scientific studies indexed on the Web of Science and Scopus during 202...
Consistency of the relationship between air pollution and the urban form: Evidence from the COVID-19 natural experiment [0.03%]
基于COVID-19自然实验的城市形态与空气污染关系的一致性证据
Mengyang Liu,Di Wei,Hong Chen
Mengyang Liu
The lockdown measures enacted to control the COVID-19 pandemic in Wuhan, China, resulted in a suspension of nearly all non-essential human activities on January 23, 2020. Nevertheless, the lockdown provided a natural experiment to understan...
Nonlinear impact of COVID-19 on pollutions - Evidence from Wuhan, New York, Milan, Madrid, Bandra, London, Tokyo and Mexico City [0.03%]
COVID-19对污染影响的非线性效应——来自武汉、纽约、米兰、马德里、孟买、伦敦、东京和墨西哥城的证据
Qiang Wang,Shuyu Li
Qiang Wang
The majority of existing COVID-19 and pollution research are from a linear perspective, ignoring the nonlinear relationship between COVID-19 and pollution. This work is aimed to systematically investigate the nonlinear impact of COVID-19 lo...
A machine learning-driven spatio-temporal vulnerability appraisal based on socio-economic data for COVID-19 impact prevention in the U.S. counties [0.03%]
基于社会经济数据的COVID-19影响下的美国县机器学习驱动的时空脆弱性评估方法研究
Mohammad Moosazadeh,Pouya Ifaei,Amir Saman Tayerani Charmchi et al.
Mohammad Moosazadeh et al.
A mature and hybrid machine-learning model is verified by mature empirical analysis to measure county-level COVID-19 vulnerability and track the impact of the imposition of pandemic control policies in the U.S. A total of 30 county-level so...