Supplying safe water in Bangladesh: A policy model based on multi-objective mixed integer programming

.  At present, about 80 million people in Bangladesh are at risk of losing their health and having a sharply reduced life expectancy as a result of exposure to excessive arsenic through drinking water from tube wells. In this article, we build a multi‐objective mixed‐integer optimisation model, whic...

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Bibliographic Details
Published in:Papers in Regional Science Vol. 86; no. 1; pp. 57 - 75
Main Authors: Akmam, Wardatul, Higano, Yoshiro
Format: Journal Article
Language:English
Published: Oxford, UK Blackwell Publishing Ltd 01.03.2007
Elsevier BV
Springer
Subjects:
arsenic contamination
Bangladesh
Bgi / Prodig
C61
Data analysis
drinking water
Human geography
Linear models
Mathematical models
multi-objective mixed integer programming
Pareto efficiency
Pareto optimisation
Poison
Political and economic geography
Pollution and nuisances
Programming
Public health
Q25
Q53
Water supply
Bangladesh
Water
Drinking water
Multi-purpose programming
Simulation
Model
Risk
Water pollution
Optimization
ISSN:1056-8190, 1435-5957
Online Access:Get full text
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Summary:.  At present, about 80 million people in Bangladesh are at risk of losing their health and having a sharply reduced life expectancy as a result of exposure to excessive arsenic through drinking water from tube wells. In this article, we build a multi‐objective mixed‐integer optimisation model, which we can simulate. We identify efficient loci of the trade‐off between the several competing objectives in order to provide safe water to the affected people. Three types of simulation cases are discussed. For each case, a different type of safe water was chosen as optimal.
Bibliography:We are indebted to anonymous referees for their valuable and constructive suggestions. Needless to say, we are responsible for any remaining errors. The financial support from the Zengin Foundation, the Grant-in-Aid of the Japanese Ministry of Education, Science and Culture and ISS Comparative Regionalism Project (CREP) are greatly appreciated.
ArticleID:PIRS114
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We are indebted to anonymous referees for their valuable and constructive suggestions. Needless to say, we are responsible for any remaining errors. The financial support from the Zengin Foundation, the Grant‐in‐Aid of the Japanese Ministry of Education, Science and Culture and ISS Comparative Regionalism Project (CREP) are greatly appreciated.
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ISSN:1056-8190
1435-5957
DOI:10.1111/j.1435-5957.2007.00114.x