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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| Vydané v: | Papers in Regional Science Ročník 86; číslo 1; s. 57 - 75 |
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| Hlavní autori: | , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Oxford, UK
Blackwell Publishing Ltd
01.03.2007
Elsevier BV Springer |
| Predmet: | |
| ISSN: | 1056-8190, 1435-5957 |
| On-line prístup: | Získať plný text |
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| Shrnutí: | . 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. |
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| Bibliografia: | 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 istex:1BAAA235F9DE76D2A2109D002CD87B8006F96E95 ark:/67375/WNG-JVMXK253-K 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. ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
| ISSN: | 1056-8190 1435-5957 |
| DOI: | 10.1111/j.1435-5957.2007.00114.x |