使用位置大数据分析飓风疏散行为.pdf

1、Analyzing Hurricane Evacuation Behavior using Locational Big DataKrishnan Viswanathan,WRA LLPPragun Vinayak,Cambridge Systematics,Inc.Jason Lemp,Cambridge Systematics,Inc.Acknowledgements Drew Sussman Florida Division of Emergency Management Roberto Miquel WRA Naveen Eluru,Ph.D.UCFProject ContextCon

2、ference on Innovations in Travel Analysis and PlanningLife-saving Data-Driven OutcomesPhase 3 Plan and Prepare for 2021 Hurricane SeasonPhase 2 Update of TIME SoftwarePhase 1 Florida Behavioral StudyCollaboration with Regional StakeholdersIntroductionMetrics Measured Evacuation Rates Percentage of p

3、eople who will leave their homes to go someplace safer during a hurricane threat Out of County Trips Percentage of evacuees will go to destinations outside their own county Type of Refuge The rate at which evacuees go to public shelters,the homes of friends and relatives,hotels and motels,and other

4、types of refuge(such as churches,workplaces,and second homes)Conference on Innovations in Travel Analysis and PlanningConference on Innovations in Travel Analysis and PlanningDefinitions Bounding BoxIts a rectangular box defined by the minimum and maximum latitude and longitude of selected counties.

5、MatthewIrmaMichaelConference on Innovations in Travel Analysis and PlanningDefinitions Bounding BoxIts a rectangular box defined by the minimum and maximum latitude and longitude of selected counties.NateHermineDefinitions Hexagon or Hex-Bin To reduce computational complexity and preserve privacy,la

6、titude/longitude are tagged with hex-bins Efficient geospatial indexing system to overcome hurdles Partitions Earths surface into a network of uniquely identifiable hexagonsConference on Innovations in Travel Analysis and PlanningConference on Innovations in Travel Analysis and PlanningDefinitions H