IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v35y2021i2d10.1007_s11269-020-02761-8.html
   My bibliography  Save this article

Using Survey Data and Mathematical Modeling to Prioritize Water Interventions in Developing Countries

Author

Listed:
  • Tyler Jarvis

    (Brigham Young University)

  • Jordan Clough

    (Brigham Young University)

  • Jane Cox

    (Brigham Young University)

  • Konnor Petersen

    (Brigham Young University)

  • Mitchell Sailsbery

    (Brigham Young University)

  • Connor Robertson

    (Brigham Young University)

  • Tyler Moncur

    (Brigham Young University)

  • Katie Palmer

    (Brigham Young University)

  • Darren Lund

    (Brigham Young University)

Abstract

A traditional cost-benefit analysis of potential water interventions in a given locality is a laborious and time-intensive process. To help decision makers identify optimal locations for such an in-depth cost-benefit analysis, we describe a new method to combine country-wide survey data and mathematical modeling to conduct a rapid and inexpensive cost-benefit analysis of water interventions for many locations across an entire country at once, identifying which locations and which interventions are likely to have the greatest benefit per cost. Using our method, this analysis can be done cheaply, on a standard desktop computer, in a matter of hours. Also, because our method does not rely on water-point mapping data, it can be used even in countries where water-point mapping is limited or nonexistent. Our new method is made possible by the use of mathematical Monte Carlo methods to address a key problem in the survey data, namely, that geographical and spatial information are obscured in the surveys, due to privacy considerations, which makes the data difficult to use for cost-benefit analysis without methods such as ours. We use a combination of Voronoi diagramming and Monte Carlo sampling to estimate locations while preserving privacy, allowing us to overcome the information loss and to use the data for comparing needs across different locations. Our methods produce an ordered ranking of the areas within a given country which have the highest benefit-to-cost ratio and to identify the optimal intervention. We apply these methods on the countries of Namibia and Angola to demonstrate how they can be used.

Suggested Citation

  • Tyler Jarvis & Jordan Clough & Jane Cox & Konnor Petersen & Mitchell Sailsbery & Connor Robertson & Tyler Moncur & Katie Palmer & Darren Lund, 2021. "Using Survey Data and Mathematical Modeling to Prioritize Water Interventions in Developing Countries," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(2), pages 745-756, January.
  • Handle: RePEc:spr:waterr:v:35:y:2021:i:2:d:10.1007_s11269-020-02761-8
    DOI: 10.1007/s11269-020-02761-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-020-02761-8
    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/s11269-020-02761-8?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. Fatine Ezbakhe & Agusti Perez-Foguet, 2018. "Multi-Criteria Decision Analysis Under Uncertainty: Two Approaches to Incorporating Data Uncertainty into Water, Sanitation and Hygiene Planning," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(15), pages 5169-5182, December.
    2. Jan Rouwendal & Piet Rietveld, 1994. "Changes in Commuting Distances of Dutch Households," Urban Studies, Urban Studies Journal Limited, vol. 31(9), pages 1545-1557, November.
    3. Eberechukwu Uneze & Ibrahim Tajudeen & Ola Iweala, 2012. "Cost-effectiveness and benefit-cost analyses of some water interventions in Nigeria: the case of Bauchi State," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 4(4), pages 497-514, December.
    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. Clark, William A. V. & Huang, Youqin & Withers, Suzanne, 2003. "Does commuting distance matter?: Commuting tolerance and residential change," Regional Science and Urban Economics, Elsevier, vol. 33(2), pages 199-221, March.
    2. Garmendia, M. & Ureña, J.M. & Coronado, J.M., 2011. "Long-distance trips in a sparsely populated region: The impact of high-speed infrastructures," Journal of Transport Geography, Elsevier, vol. 19(4), pages 537-551.
    3. Ezbakhe, Fatine & Pérez-Foguet, Agustí, 2021. "Decision analysis for sustainable development: The case of renewable energy planning under uncertainty," European Journal of Operational Research, Elsevier, vol. 291(2), pages 601-613.
    4. Reichelt, Malte & Haas, Anette, 2015. "Commuting farther and earning more? : how employment density moderates workers commuting distance," IAB-Discussion Paper 201533, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    5. Yao Wu & David Levinson, 2005. "The Rational Locator Reexamined," Working Papers 200503, University of Minnesota: Nexus Research Group.
    6. Mette Deding & Trine Filges & Jos Van Ommeren, 2009. "Spatial Mobility And Commuting: The Case Of Two‐Earner Households," Journal of Regional Science, Wiley Blackwell, vol. 49(1), pages 113-147, February.
    7. Eva Gutiérrez-i-Puigarnau & Ismir Mulalic & Jos N. van Ommeren, 2016. "Do rich households live farther away from their workplaces?," Journal of Economic Geography, Oxford University Press, vol. 16(1), pages 177-201.
    8. Sohee Lee & Tsutomu Suzuki, 2016. "A scenario approach to the evaluation of sustainable urban structure for reducing carbon dioxide emissions in Seoul," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 20(1), pages 30-48, March.
    9. Ignacio Gimenez-Nadal, J. & Molina, Jose Alberto & Velilla, Jorge, 2018. "The commuting behavior of workers in the United States: Differences between the employed and the self-employed," Journal of Transport Geography, Elsevier, vol. 66(C), pages 19-29.
    10. Mark W. Horner & Bernadette M. Marion, 2009. "A Spatial Dissimilarity-based Index of the Jobs—Housing Balance: Conceptual Framework and Empirical Tests," Urban Studies, Urban Studies Journal Limited, vol. 46(3), pages 499-517, March.
    11. Clark, William A.V. & Huang, Youqin, 2002. "Commuting Distance Sensitivity by Race and Socio-Economic Status," University of California Transportation Center, Working Papers qt2280z01v, University of California Transportation Center.
    12. Jos van Ommeren & Piet Rietveld & Peter Nijkamp & Jos van Ommeren & Piet Rietveld & Peter Nijkamp, 2004. "Job Moving, Residential Moving, and Commuting: A Search Perspective," Chapters, in: Location, Travel and Information Technology, chapter 11, pages 223-246, Edward Elgar Publishing.
    13. Plaut, Pnina O., 2006. "The intra-household choices regarding commuting and housing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(7), pages 561-571, August.
    14. van Ommeren, Jos & Rietveld, Piet & Nijkamp, Peter, 1997. "Commuting: In Search of Jobs and Residences," Journal of Urban Economics, Elsevier, vol. 42(3), pages 402-421, November.
    15. Tillema, Taede & van Wee, Bert & Ettema, Dick, 2010. "The influence of (toll-related) travel costs in residential location decisions of households: A stated choice approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(10), pages 785-796, December.
    16. Echeverría, Lucía & Gimenez-Nadal, J. Ignacio & Molina, José Alberto, 2023. "Commuting in dual-earner households: International gender differences with time use surveys," Nülan. Deposited Documents 3932, Universidad Nacional de Mar del Plata, Facultad de Ciencias Económicas y Sociales, Centro de Documentación.
    17. Christy Collins & Arianne De Blaeij, 2005. "Trends in commuter and leisure travel in The Netherlands 1991-2001 - Mode choice and travel time," ERSA conference papers ersa05p615, European Regional Science Association.
    18. Sarita Gajbhiye Meshram & Ehsan Alvandi & Chandrashekhar Meshram & Ercan Kahya & Ayad M. Fadhil Al-Quraishi, 2020. "Application of SAW and TOPSIS in Prioritizing Watersheds," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(2), pages 715-732, January.
    19. Bloze, Gintautas & Skak, Morten, 2016. "Housing equity, residential mobility and commuting," Journal of Urban Economics, Elsevier, vol. 96(C), pages 156-165.
    20. Richard H. M. Emmerink & Paul van Beek, 1997. "Empirical Analysis of Work Schedule Flexibility: Implications for Road Pricing and Driver Information Systems," Urban Studies, Urban Studies Journal Limited, vol. 34(2), pages 217-234, February.

    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:waterr:v:35:y:2021:i:2:d:10.1007_s11269-020-02761-8. 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.