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Rui Xin, Linfang Ding, Bo Ai, Min Yang, Ruoxin Zhu, Bin Cao and Liqiu Meng
Bike-sharing data are an important data source to study urban mobility in the context of the coronavirus disease 2019 (COVID-19). However, studies that focus on different bike-sharing activities including both riding and rebalancing are sparse. This limi...
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Hongzan Jiao, Faxing Yang, Shasha Xu and Shibiao Huang
Urban logistics is important to a city?s sustainable growth and development. With the increase in population and the economic growth in urban areas, the issue of congestion and the negative influence of transport of goods on people and the environment is...
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Christopher Higgins, Matthew Palm, Amber DeJohn, Luna Xi, James Vaughan, Steven Farber, Michael Widener, Eric Miller
Pág. 95?116
To capture the complex relationships between transportation and land use, researchers and practitioners are increasingly using place-based measures of transportation accessibility to support a broad range of planning goals. This research reviews the stat...
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Changfeng Jing, Yanru Hu, Hongyang Zhang, Mingyi Du, Shishuo Xu, Xian Guo and Jie Jiang
The identification of urban functional regions (UFRs) is important for urban planning and sustainable development. Because this involves a set of interrelated processes, it is difficult to identify UFRs using only single data sources. Data fusion methods...
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Lijun Chen, Haiping Zhang, Haoran Wang and Peng Wu
The effect of the plum rain weather event on cycling trips reflects the climate resilience of the public bicycle system. However, quantitative studies regarding the impact of plum rain on public bicycle users and corresponding spatial heterogeneity have ...
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Xiaogang Guo, Zhijie Xu, Jianqin Zhang, Jian Lu and Hao Zhang
Origin-destination (OD) flow pattern mining is an important research method of urban dynamics, in which OD flow clustering analysis discovers the activity patterns of urban residents and mine the coupling relationship of urban subspace and dynamic causes...
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Tian Gan, Weifeng Li, Linghui He and Jian Li
The coronavirus disease 2019 (COVID-19) pandemic has provided an opportunity to rethink the development of a sustainable and resilient city. A framework for comprehensive intracity pandemic risk evaluation using mobile phone data is proposed in this stud...
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Ran Tao, Zhaoya Gong, Qiwei Ma and Jean-Claude Thill
One of the enduring issues of spatial origin-destination (OD) flow data analysis is the computational inefficiency or even the impossibility to handle large datasets. Despite the recent advancements in high performance computing (HPC) and the ready avail...
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Zhenzhou Xu, Ge Cui, Ming Zhong and Xin Wang
Anomalous urban mobility pattern refers to abnormal human mobility flow in a city. Anomalous urban mobility pattern detection is important in the study of urban mobility. In this paper, a framework is proposed to identify anomalous urban mobility pattern...
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