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Deprivation cost theory in humanitarian relief: A literature review and prospects

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  • Zhong, Sheng
  • Wang, Longsheng

Abstract

The concept of deprivation cost, which directly quantifies human suffering, has been extensively applied in humanitarian relief operations across various disaster scenarios. The recent COVID-19 pandemic has introduced a novel context for the study of deprivation cost. The methodologies for applying deprivation cost may vary significantly across different scenarios, indicating a potential correspondence between the application methods and specific scenarios. To advance the development of deprivation cost theory and its application to biological disasters, this study systematically reviews 58 studies sourced from the Scopus and WoS databases, synthesizing diverse insights contributed by existing research on deprivation cost modeling methodologies. Drawing on various scenarios, the study examines the selections related to the characteristics of deprivation cost, functional forms, objective functions, assumptions, and calculation methods. Upon constructing the theoretical and applied framework, the study investigates the specific characteristics of deprivation cost research in biological disasters, concluding with suggestions for future research directions.

Suggested Citation

  • Zhong, Sheng & Wang, Longsheng, 2025. "Deprivation cost theory in humanitarian relief: A literature review and prospects," Socio-Economic Planning Sciences, Elsevier, vol. 98(C).
  • Handle: RePEc:eee:soceps:v:98:y:2025:i:c:s0038012125000175
    DOI: 10.1016/j.seps.2025.102168
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    References listed on IDEAS

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    1. Gang Wang, 2024. "Disaster relief supply chain network planning under uncertainty," Annals of Operations Research, Springer, vol. 338(2), pages 1127-1156, July.
    2. Xihui Wang & Xiang Wang & Liang Liang & Xiaohang Yue & Luk N. Van Wassenhove, 2017. "Estimation of Deprivation Level Functions using a Numerical Rating Scale," Production and Operations Management, Production and Operations Management Society, vol. 26(11), pages 2137-2150, November.
    3. Li Zhu & Yeming Gong & Yishui Xu & Jun Gu, 2019. "Emergency Relief Routing Models for Injured Victims Considering Equity and Priority," Post-Print hal-02879681, HAL.
    4. Amaya, Johanna & Serrano, Ivan & Cantillo, Víctor & Arellana, Julián & Pérez, Cinthia C., 2024. "Implications of trust, preparedness, risk perceptions, and local context on deprivation costs and disaster relief planning," Socio-Economic Planning Sciences, Elsevier, vol. 91(C).
    5. Macea, Luis F. & Cantillo, Victor & Arellana, Julian, 2018. "Influence of attitudes and perceptions on deprivation cost functions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 112(C), pages 125-141.
    6. Amir Jamali & Amirhossein Ranjbar & Jafar Heydari & Sina Nayeri, 2022. "A multi-objective stochastic programming model to configure a sustainable humanitarian logistics considering deprivation cost and patient severity," Annals of Operations Research, Springer, vol. 319(1), pages 1265-1300, December.
    7. Amy Givler Chapman & John E. Mitchell, 2018. "A fair division approach to humanitarian logistics inspired by conditional value-at-risk," Annals of Operations Research, Springer, vol. 262(1), pages 133-151, March.
    8. Philippe Mongeon & Adèle Paul-Hus, 2016. "The journal coverage of Web of Science and Scopus: a comparative analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 213-228, January.
    9. Shao, Jianfang & Fan, Yu & Wang, Xihui & Liang, Changyong & Liang, Liang, 2023. "Designing a new framework agreement in humanitarian logistics based on deprivation cost functions," International Journal of Production Economics, Elsevier, vol. 256(C).
    10. Guo, Penghui & Zhu, Jianjun, 2023. "Capacity reservation for humanitarian relief: A logic-based Benders decomposition method with subgradient cut," European Journal of Operational Research, Elsevier, vol. 311(3), pages 942-970.
    11. Hu, Shaolong & Dong, Zhijie Sasha & Lev, Benjamin, 2022. "Supplier selection in disaster operations management: Review and research gap identification," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    12. Paul, Jomon A. & Wang, Xinfang (Jocelyn), 2019. "Robust location-allocation network design for earthquake preparedness," Transportation Research Part B: Methodological, Elsevier, vol. 119(C), pages 139-155.
    13. Moreno, Alfredo & Alem, Douglas & Ferreira, Deisemara & Clark, Alistair, 2018. "An effective two-stage stochastic multi-trip location-transportation model with social concerns in relief supply chains," European Journal of Operational Research, Elsevier, vol. 269(3), pages 1050-1071.
    14. Liao, Haiyan & Holguín-Veras, José & Calderón, Oriana, 2023. "Comparative analysis of the performance of humanitarian logistic structures using agent-based simulation," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).
    15. Milad Keshvari Fard & Mahyar Eftekhar & Felix Papier, 2019. "An Approach for Managing Operating Assets for Humanitarian Development Programs," Production and Operations Management, Production and Operations Management Society, vol. 28(8), pages 2132-2151, August.
    16. Victor Cantillo & Luis F. Macea & Miguel Jaller, 2019. "Assessing Vulnerability of Transportation Networks for Disaster Response Operations," Networks and Spatial Economics, Springer, vol. 19(1), pages 243-273, March.
    17. Cotes, Nathalie & Cantillo, Victor, 2019. "Including deprivation costs in facility location models for humanitarian relief logistics," Socio-Economic Planning Sciences, Elsevier, vol. 65(C), pages 89-100.
    18. Fernandez Pernett, Stephanie & Amaya, Johanna & Arellana, Julián & Cantillo, Victor, 2022. "Questioning the implication of the utility-maximization assumption for the estimation of deprivation cost functions after disasters," International Journal of Production Economics, Elsevier, vol. 247(C).
    19. Khayal, Danya & Pradhananga, Rojee & Pokharel, Shaligram & Mutlu, Fatih, 2015. "A model for planning locations of temporary distribution facilities for emergency response," Socio-Economic Planning Sciences, Elsevier, vol. 52(C), pages 22-30.
    20. Li Zhu & Yeming Gong & Yishui Xu & Jun Gu, 2019. "Emergency relief routing models for injured victims considering equity and priority," Annals of Operations Research, Springer, vol. 283(1), pages 1573-1606, December.
    21. Gutjahr, Walter J. & Fischer, Sophie, 2018. "Equity and deprivation costs in humanitarian logistics," European Journal of Operational Research, Elsevier, vol. 270(1), pages 185-197.
    22. Emmett J. Lodree & Nezih Altay & Robert A. Cook, 2019. "Staff assignment policies for a mass casualty event queuing network," Annals of Operations Research, Springer, vol. 283(1), pages 411-442, December.
    23. Sun, Huali & Li, Jiamei & Wang, Tingsong & Xue, Yaofeng, 2022. "A novel scenario-based robust bi-objective optimization model for humanitarian logistics network under risk of disruptions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
    24. Linlin Zhang & Na Cui, 2021. "Pre-Positioning Facility Location and Resource Allocation in Humanitarian Relief Operations Considering Deprivation Costs," Sustainability, MDPI, vol. 13(8), pages 1-26, April.
    25. Fan, Yu & Shao, Jianfang & Wang, Xihui & Liang, Liang, 2024. "Contract design between relief organisations and private-sector vendors: A humanitarian logistics framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 182(C).
    26. Wenjun Ni & Jia Shu & Miao Song, 2018. "Location and Emergency Inventory Pre†Positioning for Disaster Response Operations: Min†Max Robust Model and a Case Study of Yushu Earthquake," Production and Operations Management, Production and Operations Management Society, vol. 27(1), pages 160-183, January.
    27. Loree, Nick & Aros-Vera, Felipe, 2018. "Points of distribution location and inventory management model for Post-Disaster Humanitarian Logistics," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 116(C), pages 1-24.
    28. Lina Yu & Huasheng Yang & Lixin Miao & Canrong Zhang, 2019. "Rollout algorithms for resource allocation in humanitarian logistics," IISE Transactions, Taylor & Francis Journals, vol. 51(8), pages 887-909, August.
    29. Camur, Mustafa C. & Sharkey, Thomas C. & Dorsey, Clare & Grabowski, Martha R. & Wallace, William A., 2021. "Optimizing the response for Arctic mass rescue events," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    30. Cross, Rod, 1993. "On the Foundations of Hysteresis in Economic Systems," Economics and Philosophy, Cambridge University Press, vol. 9(1), pages 53-74, April.
    31. Fan, Yu & Wang, Xihui & Zhu, Anqi & Shao, Jianfang & Liang, Liang, 2024. "Measuring the shortage cost through deprivation and envy in collaborating contract between the local authority and the enterprise," International Journal of Production Economics, Elsevier, vol. 271(C).
    32. Cantillo, Victor & Serrano, Iván & Macea, Luis F. & Holguín-Veras, José, 2018. "Discrete choice approach for assessing deprivation cost in humanitarian relief operations," Socio-Economic Planning Sciences, Elsevier, vol. 63(C), pages 33-46.
    33. repec:hal:journl:hal-02312250 is not listed on IDEAS
    34. Shi, Wenqiang & He, Jie & Wang, Mingyue & Yang, Fang, 2024. "A dynamics model of the emergency medical supply chain in epidemic considering deprivation cost," Socio-Economic Planning Sciences, Elsevier, vol. 94(C).
    35. Paul, Jomon A. & Zhang, Minjiao, 2019. "Supply location and transportation planning for hurricanes: A two-stage stochastic programming framework," European Journal of Operational Research, Elsevier, vol. 274(1), pages 108-125.
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