Developing a comprehensive assessment of post disaster housing recovery

Authors: Byungyun Yang*, DePaul University, Israt Jahan, University of Delaware, Sue McNeil, University of Delaware
Topics: Hazards, Risks, and Disasters, Hazards and Vulnerability, Geographic Information Science and Systems
Keywords: Disaster management, recovery, scale, GIS, LiDAR, huricane
Session Type: Paper
Day: 4/13/2018
Start / End Time: 10:00 AM / 11:40 AM
Room: Napoleon B1, Sheraton 3rd Floor
Presentation File: No File Uploaded

This paper develops a comprehensive assessment of post disaster housing recovery. It enables us to address how much housing in a specific community area have recovered at any point in time after a hurricane event that reflects changes over time. The assessment uses a variety of sources, at different spatial scales and at different points in time. It develops a measurement scale to quantify damage and recovery appropriate for the available resources (data and computation effort). In particular, the study focuses on the development of a methodological approach to (a) track housing recovery and (b) help in approaching quick recovery of the damaged area based on permanent housing condition. The effort uses several sources of data including questionnaire data from an ongoing project, FEMA damage data, airborne LiDAR data and remote sensing images. The data are analyzed quantitatively to fulfill the objectives of assessing housing recovery rate over time. Maps compare the status of damaged buildings in disaster (no damage, minor or major damage, affected or destroyed) and repaired buildings in specified time intervals based on available data. The findings in this study will help the policy makers, emergency managers, coastal managers, decision makers and other professionals to emphasize on the identified location experiencing differential progress in reconstruction, rebuilding, and repairing of houses and take necessary actions to help those localities in accelerating their recovery process.

Abstract Information

This abstract is already part of a session. View the session here.

To access contact information login