COVID-19 impacts on non-work travel patterns: A place-based investigation using smartphone mobility data [0.03%]
基于智能手机移动数据的地方-Based调查：新冠肺炎疫情对非通勤旅行模式的影响
Yang Song,Sungmin Lee,Amaryllis H Park et al.
Yang Song et al.
The COVID-19 pandemic has brought unprecedented changes to our mobility. It has not only changed our work-related travel patterns but also impacted leisure and other utilitarian activities. Non-work-related trips tend to be more seriously a...
Spatial variations of the third and fourth COVID-19 waves in Hong Kong: A comparative study using built environment and socio-demographic characteristics [0.03%]
基于建筑环境和社会人口统计特征的香港第三波和第四波新冠疫情空间差异比较研究
Zidong Yu,Xintao Liu
Zidong Yu
Since the first confirmed case was reported in January 2020, Hong Kong has experienced multiple waves of COVID-19 outbreaks. Recent literature has explored the spatial patterns of disease incidence and their relationships with the built env...
Wenwen Zhang,Camille Barchers,Janille Smith-Colin
Wenwen Zhang
Transit providers have used social media (e.g., Twitter) as a powerful platform to shape public perception and provide essential information, especially during times of disruption and disaster. This work examines how transit agencies used T...
Impact of COVID-19 policies on pedestrian traffic and walking patterns [0.03%]
新冠疫情相关政策对步道交通和步行特征的影响分析
Avital Angel,Achituv Cohen,Sagi Dalyot et al.
Avital Angel et al.
The spread of COVID-19 pandemic provoked new policies and restrictions, which had an unprecedented impact on urban mobility and traffic on local and global scales. While changes in motorized traffic were investigated and monitored throughou...
The uneven reaction to combat the COVID-19 pandemic: Geovisualizing of fever clinics in mainland China [0.03%]
COVID-19疫情下的非均匀性应对：中国大陆发热门诊的空间分布研究
Guoqi Li,Zhuoshi Lv,Fahui Wang et al.
Guoqi Li et al.
The COVID-19 pandemic has exerted unprecedented impacts on the world. Since its onset, China has established a network of fever clinics as an effective strategy to aggressively isolate and screen possible patients with COVID-19 symptoms. Th...
Using mobile phone big data to discover the spatial patterns of rural migrant workers' return to work in China's three urban agglomerations in the post-COVID-19 era [0.03%]
基于手机大数据的后疫情时代我国三大城市群返乡务工人员回流空间模式发现
Kai Liu,Pengjun Zhao,Dan Wan et al.
Kai Liu et al.
Knowing how workers return to work is a key policymaking issue for economic recovery in the post-COVID-19 era. This paper uses country-wide time-series mobile phone big data (comparing monthly and annual figures), obtained between February ...
Using call detail records to determine mobility patterns of different socio-demographic groups in the western area of Sierra Leone during early COVID-19 crisis [0.03%]
利用呼叫详情记录确定疫情期间塞拉利昂西部不同社会人口群体的移动模式
Yanchao Li,Ziyu Ran,Lily Tsai et al.
Yanchao Li et al.
Human mobility patterns created from mobile phone call detail records (CDRs) can provide an essential resource in data-poor environments to monitor the effects of health outbreaks. Analysis of this data can be instrumental for understanding...
An overview of urban analytical approaches to combating the Covid-19 pandemic [0.03%]
应对新冠疫情的城市分析方法综述
X Angela Yao,Andrew Crooks,Bin Jiang et al.
X Angela Yao et al.
Michael Batty
Michael Batty
GeoInfographic design of the multi-spatiality of borders: A case study of epidemic prevention and control in Ruili, China [0.03%]
跨界多重空间性地理 infographic 设计——中国瑞丽疫情防控为例
Ziwei Jiang,Xi Tang,Hong Zhang
Ziwei Jiang
We live in a world of borders, which influence our perception and movement. Traditional mapping techniques show limitations as borders have become shifting and complex, and borders' multi-scale and multi-spatial properties have been strengt...