Temporary disaster debris management site identification using binomial cluster analysis and GIS. Issue 2 (April 2014)

• Record Type: Journal Article
• Authors: Grzeda, Stanislaw; Mazzuchi, Thomas A.; Sarkani, Shahram
• Is Part Of: Disasters. Volume 38:Issue 2(2014:Apr.)
• Page Start: 398
• Page End: 419
• Publication Date: 2014-04
• Subjects: Disasters -- Periodicals; Disaster relief -- Periodicals; Emergency management -- Periodicals; 363.34
• DOI: 10.1111/disa.12040
• Languages: English
• ISSNs: 0361-3666

Abstract

<abstract abstract-type="main"> <title> <x xml:space="preserve">Abstract</x> </title> <p>An essential component of disaster planning and preparation is the identification and selection of temporary disaster debris management sites (DMS). However, since DMS identification is a complex process involving numerous variable constraints, many regional, county and municipal jurisdictions initiate this process during the post‐disaster response and recovery phases, typically a period of severely stressed resources. Hence, a pre‐disaster approach in identifying the most likely sites based on the number of locational constraints would significantly contribute to disaster debris management planning. As disasters vary in their nature, location and extent, an effective approach must facilitate scalability, flexibility and adaptability to variable local requirements, while also being generalisable to other regions and geographical extents. This study demonstrates the use of binomial cluster analysis in potential DMS identification in a case study conducted in Hamilton County, Indiana.</p> </abstract>