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Yijia Liu, Wenzhong Shi, Yue Yu, Linya Peng and Anshu Zhang
COVID-19 has caused a serious economic shock which challenges the resilience of businesses around the world. Understanding the spatial distribution pattern of business resilience, as well as identifying factors that promote business resilience, is crucia...
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Xiaoqi Shen, Wenzhong Shi, Zhewei Liu, Anshu Zhang, Lukang Wang and Fanxin Zeng
Human activity area extraction, a popular research topic, refers to mining meaningful location clusters from raw activity data. However, varying densities of large-scale spatial data create a challenge for existing extraction methods. This research propo...
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Zhicheng Shi, Xintao Liu, Jianhui Lai, Chengzhuo Tong, Anshu Zhang and Wenzhong Shi
In this era of population aging, it is essential to understand the spatial distribution patterns of the elderly. Based on the smart card data of the elderly, this study aims to detect the home location and examine the spatial distribution patterns of the...
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Anqi Wang, Anshu Zhang, Edwin H. W. Chan, Wenzhong Shi, Xiaolin Zhou and Zhewei Liu
Along with the increase of big data and the advancement of technologies, comprehensive data-driven knowledge of urban systems is becoming more attainable, yet the connection between big-data research and its application e.g., in smart city development, i...
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Zhicheng Shi, Lilian S. C. Pun-Cheng, Xintao Liu, Jianhui Lai, Chengzhuo Tong, Anshu Zhang, Min Zhang and Wenzhong Shi
Many cities around the world face the challenge of an aging population. A full understanding of the mobility behavior characteristics of the elderly is one necessary and urgent consideration as regards the current aging trend if sustainable urban develop...
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Zhewei Liu, Xiaolin Zhou, Wenzhong Shi and Anshu Zhang
Detecting events using social media data is important for timely emergency response and urban monitoring. Current studies primarily use semantic-based methods, in which “bursts” of certain semantic signals are detected to identify emerging ev...
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