Case studies for data-oriented emergency management/planning in complex urban systems

Kun Xie, Kaan Ozbay, Yuan Zhu, Hong Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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.

Original languageEnglish (US)
Title of host publicationTransactions on Large-Scale Data- and Knowledge-Centered Systems - 28th Symposium Big Data and Technology for Complex Urban Systems
EditorsDominik Kalisch, Abdelkader Hameurlain, Patrick C.K. Hung, Stanislav Sobolevsky, Amin Anjomshoaa, Josef Küng, Roland Wagner
PublisherSpringer Verlag
Number of pages18
ISBN (Print)9783662534151
StatePublished - 2016
Event49th Hawaii International Conference on System Sciences, HICSS 2016 - Kauai, United States
Duration: Jan 5 2016Jan 8 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9860 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other49th Hawaii International Conference on System Sciences, HICSS 2016
Country/TerritoryUnited States


  • Big data
  • Complex urban systems
  • Emergency management/planning
  • Evacuation modeling
  • Hurricane

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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