Using Real-Time Dashboards to Monitor the Impact of Disruptive Events on Real Estate Market. Case of COVID-19 Pandemic in Australia [0.03%]
利用实时仪表板监测破坏性事件对房地产市场的影响：以澳大利亚新冠肺炎疫情为例
Balamurugan Soundararaj,Christopher Pettit,Oliver Lock
Balamurugan Soundararaj
Real estate markets are complex both in terms of structure and dynamics: they are both influenced by and influence almost all aspects of the economy and are equally vulnerable to the shocks experienced by the broader economy. Therefore, und...
Spatio-temporal stratified associations between urban human activities and crime patterns: a case study in San Francisco around the COVID-19 stay-at-home mandate [0.03%]
以旧金山为例的新冠疫情就地避难令下的人类活动与犯罪模式的空间时间分层关联关系研究
Tongxin Chen,Kate Bowers,Di Zhu et al.
Tongxin Chen et al.
Crime changes have been reported as a result of human routine activity shifting due to containment policies, such as stay-at-home (SAH) mandates during the COVID-19 pandemic. However, the way in which the manifestation of crime in both spac...
GIS-based classroom management system to support COVID-19 social distance planning [0.03%]
基于GIS的教室管理系统，支持COVID-19社交距离规划
Trupti Lokhande,Xining Yang,Yichun Xie et al.
Trupti Lokhande et al.
Schools across the United States and around the world canceled in-person classes beginning in March 2020 to contain the spread of the COVID-19 virus, a public health emergency. Many empirical pieces of research have demonstrated that educat...
Visual recognition for urban traffic data retrieval and analysis in major events using convolutional neural networks [0.03%]
基于卷积神经网络的大型活动城市交通数据检索与视觉认知技术研究
Yalong Pi,Nick Duffield,Amir H Behzadan et al.
Yalong Pi et al.
Accurate and prompt traffic data are necessary for the successful management of major events. Computer vision techniques, such as convolutional neural network (CNN) applied on video monitoring data, can provide a cost-efficient and timely a...
Exploring spatiotemporal changes in the multi-granularity emotions of people in the city: a case study of Nanchang, China [0.03%]
基于多粒度情绪的居民城市空间感知研究——以南昌市为例
Xin Xiao,Chaoyang Fang,Hui Lin et al.
Xin Xiao et al.
In the Internet age, emotions exist in cyberspace and geospatial space, and social media is the mapping from geospatial space to cyberspace. However, most previous studies pay less attention to the multidimensional and spatiotemporal charac...
Exploring temporal varying demographic and economic disparities in COVID-19 infections in four U.S. areas: based on OLS, GWR, and random forest models [0.03%]
基于OLS、GWR和随机森林模型探索美国四个地区在新冠感染中人口经济差异的时空变化规律
Junfeng Jiao,Yefu Chen,Amin Azimian
Junfeng Jiao
Although studies have previously investigated the spatial factors of COVID-19, most of them were conducted at a low resolution and chose to limit their study areas to high-density urbanized regions. Hence, this study aims to investigate the...
The projected impacts of smart decline on urban runoff contamination levels [0.03%]
智能减员对城市径流污染水平的预期影响
Rui Zhu,Galen Newman
Rui Zhu
There has been mounting interest about how the repurposing of vacant land (VL) through green infrastructure (the most common smart decline strategy) can reduce stormwater runoff and improve runoff quality, especially in legacy cities charac...
Street life and pedestrian activities in smart cities: opportunities and challenges for computational urban science [0.03%]
智能城市中的街道生活和行人活动：计算城市科学的机会和挑战
Zhuangyuan Fan,Becky P Y Loo
Zhuangyuan Fan
Ongoing efforts among cities to reinvigorate streets have encouraged innovations in using smart data to understand pedestrian activities. Empowered by advanced algorithms and computation power, data from smartphone applications, GPS devices...
"What should be computed" for supporting post-pandemic recovery policymaking? A life-oriented perspective [0.03%]
支持后疫情时代恢复政策制定的“应计算什么”？生命导向视角
Junyi Zhang,Tao Feng,Jing Kang et al.
Junyi Zhang et al.
The COVID-19 pandemic has caused various impacts on people's lives, while changes in people's lives have shown mixed effects on mitigating the spread of the SARS-CoV-2 virus. Understanding how to capture such two-way interactions is crucial...
Emerging geo-data sources to reveal human mobility dynamics during COVID-19 pandemic: opportunities and challenges [0.03%]
揭示COVID-19大流行期间人类流动动态的新出现的地理数据来源：机遇与挑战
Xiao Li,Haowen Xu,Xiao Huang et al.
Xiao Li et al.
Effectively monitoring the dynamics of human mobility is of great importance in urban management, especially during the COVID-19 pandemic. Traditionally, the human mobility data is collected by roadside sensors, which have limited spatial c...