Abstract
To reduce the losses caused by natural disasters such as hurricanes, it is necessary to build effective and efficient emergency management/planning systems for cities. With increases in volume, variety and acquisition rate of urban data, major opportunities exist to implement data-oriented emergency management/planning. New York/New Jersey metropolitan area is selected as the study area. Large datasets related to emergency management/planning including, traffic operations, incidents, geographical and socio-economic characteristics, and evacuee behavior are collected from various sources. Five related case studies conducted using these unique datasets are summarized to present a comprehensive overview on how to use big urban data to obtain innovative solutions for emergency management and planning, in the context of complex urban systems. Useful insights are obtained from data for essential tasks of emergency management and planning such as evacuation demand estimation, determination of evacuation zones, evacuation planning and resilience assessment.
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Notes
- 1.
Source: http://maps.nyc.gov/hurricane/.
- 2.
Source: http://ned.usgs.gov/.
- 3.
- 4.
Source: http://factfinder.census.gov.
- 5.
“E1” corresponding to NYC 2013 evacuation zone 1, “E2” corresponding to NYC 2013 evacuation zone 2 and zone 3, and “E3” corresponding to NYC 2013 evacuation zone 4, zone 5 and zone 6, and “S” corresponding to the safe zone beyond the evacuation region.
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Acknowledgments
The work is partially funded by New York State Resiliency Institute for Storms & Emergencies, Urban Mobility & Intelligent Transportation Systems (UrbanMITS) laboratory, Center for Urban Science and Progress (CUSP), Civil and Urban Engineering at New York University (NYU) as well as University Transportation Research Center (UTRC) at City College of New York (CUNY). The contents of this paper reflect views of the authors who are responsible for the facts and accuracy of the data presented herein. The contents of the paper do not necessarily reflect the official views or policies of the agencies.
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Xie, K., Ozbay, K., Zhu, Y., Yang, H. (2016). Case Studies for Data-Oriented Emergency Management/Planning in Complex Urban Systems. In: Hameurlain, A., et al. Transactions on Large-Scale Data- and Knowledge-Centered Systems XXVII. Lecture Notes in Computer Science(), vol 9860. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-53416-8_12
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DOI: https://doi.org/10.1007/978-3-662-53416-8_12
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