IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v113y2022i1d10.1007_s11069-022-05295-x.html
   My bibliography  Save this article

Use of GIS and dasymetric mapping for estimating tsunami-affected population to facilitate humanitarian relief logistics: a case study from Phuket, Thailand

Author

Listed:
  • Kiatkulchai Jitt-Aer

    (Navaminda Kasatriyadhiraj Royal Air Force Academy)

  • Graham Wall

    (University of Portsmouth)

  • Dylan Jones

    (University of Portsmouth)

  • Richard Teeuw

    (University of Portsmouth)

Abstract

The 2004 Indian Ocean tsunami led to improvements in Thailand’s early warning systems and evacuation procedures. However, there was no consideration of better aid delivery, which critically depends on estimates of the affected population. With the widespread use of geographical information systems (GIS), there has been renewed interest in spatial population estimation. This study has developed an application to determine the number of disaster-impacted people in a given district, by integrating GIS and population estimation algorithms, to facilitate humanitarian relief logistics. A multi-stage spatial interpolation is used for estimating the affected populations using ArcGIS software. We present a dasymetric mapping approach using a population-weighted technique coupled with remote sensing data. The results in each target area show the coordinates of each shelter location for evacuees, with the minimum and maximum numbers of people affected by the tsunami inundation. This innovative tool produces not only numerical solutions for decision makers, but also a variety of maps that improve visualisation of disaster severity across neighbourhoods. A case study in Patong, a town of Phuket, illustrates the application of this GIS-based approach. The outcomes can be used as key decision-making factors in planning and managing humanitarian relief logistics in the preparedness and response phases to improve performance with future tsunami occurrences, or with other types of flood disaster.

Suggested Citation

  • Kiatkulchai Jitt-Aer & Graham Wall & Dylan Jones & Richard Teeuw, 2022. "Use of GIS and dasymetric mapping for estimating tsunami-affected population to facilitate humanitarian relief logistics: a case study from Phuket, Thailand," 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. 113(1), pages 185-211, August.
    • Handle: RePEc:spr:nathaz:v:113:y:2022:i:1:d:10.1007_s11069-022-05295-x
    DOI: 10.1007/s11069-022-05295-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-022-05295-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11069-022-05295-x?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. Christoph Aubrecht & Dilek Özceylan & Klaus Steinnocher & Sérgio Freire, 2013. "Multi-level geospatial modeling of human exposure patterns and vulnerability indicators," 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. 68(1), pages 147-163, August.
    2. L N Van Wassenhove, 2006. "Humanitarian aid logistics: supply chain management in high gear," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(5), pages 475-489, May.
    3. Hirschman, Charles, 1981. "The Uses of Demography in Development Planning," Economic Development and Cultural Change, University of Chicago Press, vol. 29(3), pages 561-575, April.
    4. Michael Reibel & Michael E Bufalino, 2005. "Street-Weighted Interpolation Techniques for Demographic Count Estimation in Incompatible Zone Systems," Environment and Planning A, , vol. 37(1), pages 127-139, January.
    5. Franz Schug & David Frantz & Sebastian van der Linden & Patrick Hostert, 2021. "Gridded population mapping for Germany based on building density, height and type from Earth Observation data using census disaggregation and bottom-up estimates," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-23, March.
    6. Christian Geiß & Anne Schauß & Torsten Riedlinger & Stefan Dech & Cecilia Zelaya & Nicolás Guzmán & Mathías A. Hube & Jamal Jokar Arsanjani & Hannes Taubenböck, 2017. "Joint use of remote sensing data and volunteered geographic information for exposure estimation: evidence from Valparaíso, Chile," 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. 86(1), pages 81-105, March.
    7. Wolf-Dieter Rase, 2001. "Volume-preserving interpolation of a smooth surface from polygon-related data," Journal of Geographical Systems, Springer, vol. 3(2), pages 199-213, August.
    8. Nathan Keyfitz, 1993. "Thirty years of demography and Demography," Demography, Springer;Population Association of America (PAA), vol. 30(4), pages 533-549, November.
    9. Doocy, S. & Gorokhovich, Y. & Burnham, G. & Balk, D. & Robinson, C., 2007. "Tsunami mortality estimates and vulnerability mapping in Aceh, Indonesia," American Journal of Public Health, American Public Health Association, vol. 97(S1), pages 146-151.
    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. CHEN, Helen S.Y., 2020. "Designing Sustainable Humanitarian Supply Chains," OSF Preprints m82ar, Center for Open Science.
    2. Eunae Yoo & Elliot Rabinovich & Bin Gu, 2020. "The Growth of Follower Networks on Social Media Platforms for Humanitarian Operations," Production and Operations Management, Production and Operations Management Society, vol. 29(12), pages 2696-2715, December.
    3. Rameshwar Dubey & Nezih Altay & Constantin Blome, 2019. "Swift trust and commitment: The missing links for humanitarian supply chain coordination?," Annals of Operations Research, Springer, vol. 283(1), pages 159-177, December.
    4. A. Anaya-Arenas & J. Renaud & A. Ruiz, 2014. "Relief distribution networks: a systematic review," Annals of Operations Research, Springer, vol. 223(1), pages 53-79, December.
    5. Firas Rifai, 2018. "Transfer of Knowhow and Experiences from Commercial Logistics into Humanitarian Logistics to Improve Rescue Missions in Disaster Areas," Journal of Management and Sustainability, Canadian Center of Science and Education, vol. 8(3), pages 1-63, August.
    6. Dilsu Binnaz Ozkapici & Mustafa Alp Ertem & Haluk Aygüneş, 2016. "Intermodal humanitarian logistics model based on maritime transportation in Istanbul," 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. 83(1), pages 345-364, August.
    7. Félicia Saïah & Diego Vega & Harwin de Vries & Joakim Kembro, 2023. "Process modularity, supply chain responsiveness, and moderators: The Médecins Sans Frontières response to the Covid‐19 pandemic," Production and Operations Management, Production and Operations Management Society, vol. 32(5), pages 1490-1511, May.
    8. Rafiei, Rezvan & Huang, Kai & Verma, Manish, 2022. "Cash versus in-kind transfer programs in humanitarian operations: An optimization program and a case study," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    9. Loïc Cohen, 2016. "The outsourcing decision process in humanitarian supply chain management evaluated through the TCE and RBV principles," Post-Print hal-01471643, HAL.
    10. Carland, Corinne & Goentzel, Jarrod & Montibeller, Gilberto, 2018. "Modeling the values of private sector agents in multi-echelon humanitarian supply chains," European Journal of Operational Research, Elsevier, vol. 269(2), pages 532-543.
    11. Yagci Sokat, Kezban & Dolinskaya, Irina S. & Smilowitz, Karen & Bank, Ryan, 2018. "Incomplete information imputation in limited data environments with application to disaster response," European Journal of Operational Research, Elsevier, vol. 269(2), pages 466-485.
    12. Lea Stadtler & Luk N. Wassenhove, 2023. "Between Intensity and Diversity: Leveraging the Role of Place in Cross-Sector Partnerships," Journal of Business Ethics, Springer, vol. 184(4), pages 773-791, May.
    13. Hu, Shaolong & Han, Chuanfeng & Dong, Zhijie Sasha & Meng, Lingpeng, 2019. "A multi-stage stochastic programming model for relief distribution considering the state of road network," Transportation Research Part B: Methodological, Elsevier, vol. 123(C), pages 64-87.
    14. Alem, Douglas & Clark, Alistair & Moreno, Alfredo, 2016. "Stochastic network models for logistics planning in disaster relief," European Journal of Operational Research, Elsevier, vol. 255(1), pages 187-206.
    15. 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.
    16. Davis, Lauren B. & Samanlioglu, Funda & Qu, Xiuli & Root, Sarah, 2013. "Inventory planning and coordination in disaster relief efforts," International Journal of Production Economics, Elsevier, vol. 141(2), pages 561-573.
    17. Martin Philipp Heger & Eric Neumayer, 2022. "Economic legacy effects of armed conflict: Insights from the civil war in Aceh, Indonesia," Conflict Management and Peace Science, Peace Science Society (International), vol. 39(4), pages 394-421, July.
    18. Oloruntoba, Richard, 2010. "An analysis of the Cyclone Larry emergency relief chain: Some key success factors," International Journal of Production Economics, Elsevier, vol. 126(1), pages 85-101, July.
    19. Hendrik P. van Dalen & Kène Henkens, 2012. "What is on a Demographer’s Mind?," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 26(16), pages 363-408.
    20. Kyle H. Goldschmidt & Sameer Kumar, 2019. "Reducing the cost of humanitarian operations through disaster preparation and preparedness," Annals of Operations Research, Springer, vol. 283(1), pages 1139-1152, December.

    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:spr:nathaz:v:113:y:2022:i:1:d:10.1007_s11069-022-05295-x. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.