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Record |
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Author |
Xinyuan Zhang; Nan Li |
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Title |
Assessment of the Correlation between Extreme Weather Event-Induced Human Mobility Perturbation in Urban Areas and their Spatial Characteristics based on Taxi Trajectories |
Type |
Conference Article |
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Year |
2020 |
Publication |
ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2020 |
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Issue |
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Pages |
366-380 |
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Keywords |
Extreme Weather Event, Human Mobility, Perturbation, Resilience, Spatial Distribution. |
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Abstract |
Extreme weather events (EWEs) are significant threats to urban regions. One major reflection of such impact is the EWE-induced perturbation to urban human mobility, which has been documented in a number of recent studies. This study aims to examine the spatial distribution of such perturbation within a city among different areas that are characterized by the type of function and the distance to city center. A case study was conducted on a major rainstorm in the City of Nanjing, China in 2017, based on trajectories of all taxis in the city before and during the rainstorm. It was found that the rainstorm caused decrease in people's travel demand throughout the city, although the magnitude of perturbation and level of resilience notably differed among areas of different functional types. In addition, the urban mobility in areas distant from the city center were relatively less influenced by the rainstorm. |
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Address |
Tsinghua University; Tsinghua University |
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Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Amanda Hughes; Fiona McNeill; Christopher W. Zobel |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Edition |
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ISSN |
978-1-949373-27-35 |
ISBN |
2411-3421 |
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Track |
Data and Resilience: Opportunities and Challenges |
Expedition |
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Conference |
17th International Conference on Information Systems for Crisis Response and Management |
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Notes |
xinyuan-16@mails.tsinghua.edu.cn |
Approved |
no |
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Call Number |
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Serial |
2236 |
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