Associations between mobility and socio-economic indicators vary across the timeline of the Covid-19 pandemic [0.03%]
疫情期间流动性变化与经济社会指标的关系随着时间推移而改变
Jed A Long,Chang Ren
Jed A Long
Covid-19 interventions are greatly affecting patterns of human mobility. Changes in mobility during Covid-19 have differed across socio-economic gradients during the first wave. We use fine-scale network mobility data in Ontario, Canada to ...
How did micro-mobility change in response to COVID-19 pandemic? A case study based on spatial-temporal-semantic analytics [0.03%]
新冠疫情如何影响微出行？基于时空语义分析的案例研究
Aoyong Li,Pengxiang Zhao,He Haitao et al.
Aoyong Li et al.
Cities worldwide adopted lockdown policies in response to the outbreak of coronavirus disease 2019 (COVID-19), significantly influencing people's travel behavior. In particular, micro-mobility, an emerging mode of urban transport, is profou...
Evaluation of Heuristics for the P-Median Problem: Scale and Spatial Demand Distribution [0.03%]
P-中值问题启发式算法评估：规模与空间需求分布的影响
Harsha Gwalani,Chetan Tiwari,Armin R Mikler
Harsha Gwalani
The objective of the p-median problem is to identify p source locations and map them to n destinations while minimizing the average distance between destinations and corresponding sources. Several heuristic algorithms have been developed to...
Incorporating space and time into random forest models for analyzing geospatial patterns of drug-related crime incidents in a major U.S. metropolitan area [0.03%]
一种新的时空随机森林模型及其在分析美国大城市药物相关犯罪时空格局中的应用
Zhiyue Xia,Kathleen Stewart,Junchuan Fan
Zhiyue Xia
The opioid crisis has hit American cities hard, and research on spatial and temporal patterns of drug-related activities including detecting and predicting clusters of crime incidents involving particular types of drugs is useful for distin...
Chinese tourists in Nordic countries: An analysis of spatio-temporal behavior using geo-located travel blog data [0.03%]
北欧国家的中国游客：利用地理位置旅游博客数据分析其时空行为特征
Yunhao Zheng,Naixia Mou,Lingxian Zhang et al.
Yunhao Zheng et al.
Geo-located travel blogs, a new data source, enable to achieve more detailed analysis of tourists' spatio-temporal behavior. Taking Chinese tourists in Nordic countries as the research object, this paper focuses on their behavior, seasonal ...
Impact of extreme weather events on urban human flow: A perspective from location-based service data [0.03%]
极端天气事件对城市人口流动的影响：基于位置服务数据的视角
Zhenhua Chen,Zhaoya Gong,Shan Yang et al.
Zhenhua Chen et al.
This study investigates the impact of extreme weather events on urban human flow disruptions using location-based service data obtained from Baidu Map. Utilizing the 2018 Typhoon Mangkhut as an example, the spatial and temporal variations o...
Advancing Scenario Planning through Integrating Urban Growth Prediction with Future Flood Risk Models [0.03%]
基于融合城市增长预测与未来洪水风险模型的规划情景法研究 advancements in scenario planning通过整合城乡增长预测与未来洪灾风险模型实现Urban growth prediction未来洪灾风险模型Future flood risk models
Youjung Kim,Galen Newman
Youjung Kim
High uncertainty about future urbanization and flood risk conditions limits the ability to increase resiliency in traditional scenario-based urban planning. While scenario planning integrating urban growth prediction modeling is becoming mo...
Spatial-temporal transmission of influenza and its health risks in an urbanized area [0.03%]
城市化地区流感的时空传播及其健康风险
Liang Mao,Ling Bian
Liang Mao
Cities and urban areas play an important role in fostering influenza transmission, often leading to epidemics and even pandemics. Although there is growing literature on influenza transmission at national and international scales, little at...
Annually modelling built-settlements between remotely-sensed observations using relative changes in subnational populations and lights at night [0.03%]
基于夜灯光和亚全国人口相对变化的遥感观测数据构建年度制城乡 settlements 模型
Jeremiah J Nieves,Alessandro Sorichetta,Catherine Linard et al.
Jeremiah J Nieves et al.
Mapping urban features/human built-settlement extents at the annual time step has a wide variety of applications in demography, public health, sustainable development, and many other fields. Recently, while more multitemporal urban features...
Using Multiple Scale Space-Time Patterns in Variance-Based Global Sensitivity Analysis for Spatially Explicit Agent-Based Models [0.03%]
基于方差的全局敏感性分析在时空尺度多重模式下的具身元模型中的应用研究
Jeon-Young Kang,Jared Aldstadt
Jeon-Young Kang
Sensitivity analysis (SA) in spatially explicit agent-based models (ABMs) has emerged to address some of the challenges associated with model specification and parameterization. For spatially explicit ABMs, the comparison of spatial or spat...