Author
Koyuncu, Burcu Balçık
Publication Date
2016
Publication Place
-
Springer International Publishing
Subject
Needs assessment, Selective routing, Coverage, Purposive sampling, Greedy heuristics
Type
Document
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
2194-1009
Record ID
1630dc44-0ac3-4529-b605-eb41a7c4fcb1
Library Location
Industrial Engineering
Date
2016
Sample Text
In the immediate aftermath of a disaster, relief agencies perform needs assessment operations to investigate the effects of the disaster and understand the needs of the affected communities. Since assessments must be performed quickly, it may not be possible to visit each site in the affected region. In practice, sites to be visited during the assessment period are selected considering the characteristics of the target communities. In this study, we address site selection and routing decisions of the rapid needs assessment teams that aim to evaluate the post-disaster conditions of a diverse set of community groups with different characteristics (e.g., ethnicity, income level, etc.) within a limited period of time. In particular, we study the Selective Assessment Routing Problem (SARP) that determines sites to be visited and the order of site visits for each team while ensuring sufficient coverage of the given set of characteristics. We present a mathematical model and greedy heuristics for the SARP. We perform numerical analysis to evaluate the performance of the greedy heuristics and show that the heuristic version that balances the tradeoff between coverage and travel times provides reasonable solutions for realistic problem instances.
DOI
10.1007/978-3-319-43709-5_2
Cilt
185
