IDEAS home Printed from https://ideas.repec.org/a/eee/soceps/v91y2024ics0038012123002926.html
   My bibliography  Save this article

Implications of trust, preparedness, risk perceptions, and local context on deprivation costs and disaster relief planning

Author

Listed:
  • Amaya, Johanna
  • Serrano, Ivan
  • Cantillo, Víctor
  • Arellana, Julián
  • Pérez, Cinthia C.

Abstract

Deprivation Costs Functions (DCFs) are key to designing effective relief distribution operations after disasters. In this paper, data are collected in Colombia and Ecuador to estimate DCFs for water and food, considering the influence of individuals' attitudes on preparedness, risk perception, and trust in response agents. Hybrid Choice Models are used to analyze and compare the estimated DCFs. The analyses confirm that DCFs differ by commodity. Additionally, socioeconomic characteristics of individuals influence their willingness to pay for critical supplies to reduce their own suffering. Preparedness, risk perceptions and trust in response agents impact individuals' behavior in disaster situations. The results also show that community and religious groups are considered the most trusted response agents in both countries. As a result, their involvement in official relief efforts should be more articulated. Colombia and Ecuador show significant differences in their estimated DCFs, confirming that deprivation costs are context-specific by nature. As such, DCFs should not be directly transferred among disaster locations. The findings from this study will support decision-makers in designing effective preparedness and response plans that are based on trust relationships that serve as foundations for community resilience.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:soceps:v:91:y:2024:i:c:s0038012123002926
    DOI: 10.1016/j.seps.2023.101780
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0038012123002926
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.seps.2023.101780?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. An Gie Yong & Louise Lemyre & Celine Pinsent & Daniel Krewski, 2017. "Risk Perception and Disaster Preparedness in Immigrants and Canadian‐Born Adults: Analysis of a National Survey on Similarities and Differences," Risk Analysis, John Wiley & Sons, vol. 37(12), pages 2321-2333, December.
    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. Amiya K. Chakravarty, 2021. "Humanitarian Response to Disasters with Funding Uncertainty: Alleviating Deprivation with Bridge Finance," Production and Operations Management, Production and Operations Management Society, vol. 30(9), pages 3284-3296, September.
    4. Daly, Andrew & Hess, Stephane & de Jong, Gerard, 2012. "Calculating errors for measures derived from choice modelling estimates," Transportation Research Part B: Methodological, Elsevier, vol. 46(2), pages 333-341.
    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. Kim Usher & Jane Mills & Caryn West & Evan Casella & Passang Dorji & Aimin Guo & Virya Koy & George Pego & Souksavanh Phanpaseuth & Olaphim Phouthavong & Jamuna Sayami & Muy Seang Lak & Alison Sio & M, 2015. "Cross‐sectional survey of the disaster preparedness of nurses across the Asia–Pacific region," Nursing & Health Sciences, John Wiley & Sons, vol. 17(4), pages 434-443, December.
    7. Maria Besiou & Alfonso J. Pedraza‐Martinez & Luk N. Van Wassenhove, 2021. "Humanitarian Operations and the UN Sustainable Development Goals," Production and Operations Management, Production and Operations Management Society, vol. 30(12), pages 4343-4355, December.
    8. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    9. Alice Fothergill & Lori Peek, 2004. "Poverty and Disasters in the United States: A Review of Recent Sociological Findings," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 32(1), pages 89-110, May.
    10. Chanrith Ngin & Jesse Hession Grayman & Andreas Neef & Nichapat Sanunsilp, 2020. "The role of faith-based institutions in urban disaster risk reduction for immigrant communities," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(1), pages 299-316, August.
    11. Holguín-Veras, José & Encarnación, Trilce & Van Wassenhove, Luk N. & Pokharel, Shaligram & Cantillo, Víctor & Amaya, Johanna & Wachtendorf, Tricia & Rilling, Juanita, 2022. "Reducing material convergence in disaster environments: The potential of trusted change agents," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 162(C).
    12. Seoyong Kim & Seol A. Kwon & Jae Eun Lee & Byeong-Cheol Ahn & Ju Ho Lee & Chen An & Keiko Kitagawa & Dohyeong Kim & Jaesun Wang, 2020. "Analyzing the Role of Resource Factors in Citizens’ Intention to Pay for and Participate in Disaster Management," Sustainability, MDPI, vol. 12(8), pages 1-25, April.
    13. Mattias J. Viklund, 2003. "Trust and Risk Perception in Western Europe: A Cross‐National Study," Risk Analysis, John Wiley & Sons, vol. 23(4), pages 727-738, August.
    14. Hess, Stephane & Palma, David, 2019. "Apollo: A flexible, powerful and customisable freeware package for choice model estimation and application," Journal of choice modelling, Elsevier, vol. 32(C), pages 1-1.
    15. Harwin De Vries & Luk N. Van Wassenhove, 2020. "Do Optimization Models for Humanitarian Operations Need a Paradigm Shift?," Production and Operations Management, Production and Operations Management Society, vol. 29(1), pages 55-61, January.
    16. Shohei Nakamura & Rawaa Harati & Somik V Lall & Yuri M Dikhanov & Nada Hamadeh & William Vigil Oliver & Marko Olavi Rissanen & Mizuki Yamanaka, 2020. "Comparing Costs of Living across World Cities," The World Bank Economic Review, World Bank, vol. 34(Supplemen), pages 79-88.
    17. 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).
    18. Walker, Joan & Ben-Akiva, Moshe, 2002. "Generalized random utility model," Mathematical Social Sciences, Elsevier, vol. 43(3), pages 303-343, July.
    19. Delgado-Lindeman, Maira & Arellana, Julián & Cantillo, Víctor, 2019. "Willingness to pay functions for emergency ambulance services," Journal of choice modelling, Elsevier, vol. 30(C), pages 28-37.
    20. Sullivan-Wiley, Kira A. & Short Gianotti, Anne G., 2017. "Risk Perception in a Multi-Hazard Environment," World Development, Elsevier, vol. 97(C), pages 138-152.
    21. United Nations UN, 2015. "Transforming our World: the 2030 Agenda for Sustainable Development," Working Papers id:7559, eSocialSciences.
    22. 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.
    23. Holguín-Veras, José & Jaller, Miguel & Wachtendorf, Tricia, 2012. "Comparative performance of alternative humanitarian logistic structures after the Port-au-Prince earthquake: ACEs, PIEs, and CANs," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(10), pages 1623-1640.
    24. Hess, Stephane & Spitz, Greg & Bradley, Mark & Coogan, Matt, 2018. "Analysis of mode choice for intercity travel: Application of a hybrid choice model to two distinct US corridors," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 547-567.
    25. Michael K. Lindell & Seong Nam Hwang, 2008. "Households' Perceived Personal Risk and Responses in a Multihazard Environment," Risk Analysis, John Wiley & Sons, vol. 28(2), pages 539-556, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Macea, Luis F. & Serrano, Iván & Carcache-Guas, Camila, 2023. "A reservation-based parking behavioral model for parking demand management in urban areas," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
    2. 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).
    3. Kim, Seheon & Rasouli, Soora, 2022. "The influence of latent lifestyle on acceptance of Mobility-as-a-Service (MaaS): A hierarchical latent variable and latent class approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 304-319.
    4. 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.
    5. John Buckell & David A Hensher & Stephane Hess, 2021. "Kicking the habit is hard: A hybrid choice model investigation into the role of addiction in smoking behavior," Health Economics, John Wiley & Sons, Ltd., vol. 30(1), pages 3-19, January.
    6. Liu, Kanglin & Zhang, Hengliang & Zhang, Zhi-Hai, 2021. "The efficiency, equity and effectiveness of location strategies in humanitarian logistics: A robust chance-constrained approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 156(C).
    7. Scorrano, Mariangela & Rotaris, Lucia, 2022. "The role of environmental awareness and knowledge in the choice of a seated electric scooter," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 333-347.
    8. 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).
    9. Chorus, Caspar & van Cranenburgh, Sander & Daniel, Aemiro Melkamu & Sandorf, Erlend Dancke & Sobhani, Anae & Szép, Teodóra, 2021. "Obfuscation maximization-based decision-making: Theory, methodology and first empirical evidence," Mathematical Social Sciences, Elsevier, vol. 109(C), pages 28-44.
    10. Isler, Cassiano Augusto & Blumenfeld, Marcelo & Caldeira, Gabriel Pereira & Roberts, Clive, 2024. "Long-Distance railway mode choice in Brazil: Evidence from a discrete choice experiment," Research in Transportation Economics, Elsevier, vol. 104(C).
    11. Schmid, Basil & Becker, Felix & Axhausen, Kay W. & Widmer, Paul & Stein, Petra, 2023. "A simultaneous model of residential location, mobility tool ownership and mode choice using latent variables," Transportation Research Part A: Policy and Practice, Elsevier, vol. 178(C).
    12. 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.
    13. Delgado-Lindeman, Maira & Arellana, Julián & Cantillo, Víctor, 2019. "Willingness to pay functions for emergency ambulance services," Journal of choice modelling, Elsevier, vol. 30(C), pages 28-37.
    14. 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.
    15. Gabriel Nova & Sander van Cranenburgh & Stephane Hess, 2024. "Understanding the decision-making process of choice modellers," Papers 2411.01704, arXiv.org.
    16. Casie Venable & Amy Javernick-Will & Abbie B. Liel, 2020. "Perceptions of Post-Disaster Housing Safety in Future Typhoons and Earthquakes," Sustainability, MDPI, vol. 12(9), pages 1-30, May.
    17. Schmid, Basil & Axhausen, Kay W., 2019. "In-store or online shopping of search and experience goods: A hybrid choice approach," Journal of choice modelling, Elsevier, vol. 31(C), pages 156-180.
    18. Fukushi, Mitsuyoshi & Delgado, Felipe & Raveau, Sebastián, 2024. "Impact of omitted variable and simultaneous estimation endogeneity in choice-based revenue management systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    19. Rotaris, Lucia & Giansoldati, Marco & Scorrano, Mariangela, 2021. "The slow uptake of electric cars in Italy and Slovenia. Evidence from a stated-preference survey and the role of knowledge and environmental awareness," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 1-18.
    20. Tomás Rossetti & Ricardo Daziano, 2023. "How does self-assessed health status relate to preferences for cycling infrastructure? A latent class and latent variable approach," Transportation, Springer, vol. 50(3), pages 913-928, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:soceps:v:91:y:2024:i:c:s0038012123002926. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/seps .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.