Decision-makingindevelopmentrarelyconsidersuncertaintyinprojectbenefitsandcostsandtheriskofprojectfailure.Lackofappropriatetoolsforex-anteanalysisunderconditionsofdatascarcityconstrainstheabilityofdecision-makerstoanticipateprojectoutcomes.Businessanalysistechniquescanhelpinsuchsituations,buttheyhaverarelybeenappliedindevelopmentcontexts.WeusetheprinciplesofAppliedInformationEconomicstodevelopadecisionmodelforawatersupplyintervention.IntheproposedHabaswein- WajirWaterSupplyProjectinNorthernKenya,wateristobeextractedfromamajoraquifernearHabasweinandpipedtothecityofWajir.Ateamofeightexpertsdevelopedamodelincludingallcosts,benefits,andrisksconsideredimportantforprojectsuccess.Afterestimationtraining,theseexpertsexpressedtheiruncertaintyforabout100variablesinthemodelwithprobabilitydistributions.WeusedMonteCarlosimulationtoprojectdecisionoutcomes,andPartialLeastSquares(PLS)regressiontoidentifycriticaluncertaintiesaffectingthedecision.Theprojectwasfoundtoberiskyformoststakeholders,mainlyduetotheriskofpoliticalinterferencecausedbywatersupplyconcernsinHabasweinandduetounclearprofitabilityofthewatersupplybusiess.Uncertaintiesabouthowtovaluedecreasinginfantmortalityandreductioninwater- bornediseaseincidencewerealsocritical.Thegreatesthydrologicalriskwassaltwaterintrusionintotheaquifer.Carefulwelldesign,inclusiveprojectplanningandbenefitsharingcouldraisethechanceofprojectsuccess.Theanalysisimprovedunderstandingofthedecisionbyallstakeholders,someofwhichchangedtheiropinionsonthepipeline,requestedmoremeasurements,orproposedalternativewatersupplyoptions.Decisionanalysiscanhelpclarifydecisionuncertaintiesandoutcomeexpectationsandtherebyimprovedecision-makingprocesses,especiallyindata-scarceareas.
DOI:
https://doi.org/10.3389/fenvs.2015.00016
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