Selective routing for post-disaster needs assessments

Name: Selective routing for post-disaster needs assessments
Author: Koyuncu, Burcu Balçık

İsim	Selective routing for post-disaster needs assessments
Yazar	Koyuncu, Burcu Balçık
Basım Tarihi:	2016
Basım Yeri	- Springer International Publishing
Konu	Needs assessment, Selective routing, Coverage, Purposive sampling, Greedy heuristics
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	2194-1009
Kayıt Numarası	1630dc44-0ac3-4529-b605-eb41a7c4fcb1
Lokasyon	Industrial Engineering
Tarih	2016
Örnek Metin	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

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Selective routing for post-disaster needs assessments

Yazar Koyuncu, Burcu Balçık

Basım Tarihi 2016

Basım Yeri - Springer International Publishing

Konu Needs assessment, Selective routing, Coverage, Purposive sampling, Greedy heuristics

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 2194-1009

Kayıt Numarası 1630dc44-0ac3-4529-b605-eb41a7c4fcb1

Lokasyon Industrial Engineering

Tarih 2016

Örnek Metin 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