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Record |
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Author |
Wang, R.; Li, N. |
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Title |
Revealing social disparities under natural disasters using large-scale mobility data: A dynamic accessibility perspective |
Type |
Conference Article |
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Year |
2023 |
Publication |
Proceedings of the 20th International ISCRAM Conference |
Abbreviated Journal |
Iscram 2023 |
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Pages |
797-807 |
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Keywords |
Mobility; Natural Disaster; Social Disparity; Spatial Accessibility |
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Abstract |
Accessibility is an essential indicator for measuring the functions and equity of urban services, and could be harnessed to provide insights into the social disparities in urban residents’ interaction with urban services. In this study, we attempt to measure urban residents’ accessibility patterns to urban services during natural disasters using an improved gravity model method. Firstly, by analyzing human digital trace data in the Wilmington metropolitan area over three months, we assessed the residents’ accessibility levels of grocery stores and restaurants before, during and after Hurricane Florence, and captured the diverse trends of residents’ responses to the hurricane. Then, we identified and statistically tested the social disparities in residents’ accessibility behaviors in response to the hurricane. The findings may provide new insights for city planners and policymakers in terms of equity evaluations of resource accessibility and resource allocations among different communities and improvement of their resilience against natural disasters. |
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Address |
Department of Construction Management, Tsinghua University; |
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Publisher |
University of Nebraska at Omaha |
Place of Publication |
Omaha, USA |
Editor |
Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi |
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Language |
English |
Summary Language |
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Original Title |
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Series Editor |
Hosssein Baharmand |
Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
1 |
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ISSN |
2411-3387 |
ISBN |
979-8-218-21749-5 |
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Track |
Geospatial Technologies, Location Analytics, and Geographic Information Science |
Expedition |
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Conference |
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Notes |
http://dx.doi.org/10.59297/SNTX2451 |
Approved |
no |
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Call Number |
ISCRAM @ idladmin @ |
Serial |
2567 |
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