M. Kim, N. Xiao
{"title":"Contiguity-Based Optimization Models for Political Redistricting Problems","authors":"M. Kim, N. Xiao","doi":"10.4018/IJAGR.2017100101","DOIUrl":null,"url":null,"abstract":"Politicalredistrictingisaprocessusedtoredrawpoliticalboundariesbasedonanumberofcriteria thatincludepopulationequality,minorityrepresentation,contiguity,andcompactness.Redistricting planscanbedifficulttodrawmanuallyandsincethe1970stheuseofcomputersinthecreationof redistrictingplanshasincreaseddramatically.Thepurposeofthispaperistoformulatetheproblemof findingredistrictingplansasoptimizationproblemsonthebasisofpopulationequalityandcontiguity. Theauthorsspecificallyaddresstheproblemfromthecontiguityperspective.Theydevelopedtwo exactoptimalmodels:onebasedonaminimumspanningtreeandonebasedonnetworkflows.They discussthespatialrepresentationandtheformulationofcontiguityforbothmodelsandcompare theperformanceofthesetwomodels,alongwithathirdmodeldevelopedintheliterature,usinga varietyofsyntheticandrealdata.Theauthors’resultsconfirmthatsuchaproblemiscomputationally intensive and more efficient methods are needed for large size problems, but with appropriate formulationapproachestheycanobtainusefulbaselinesolutionstotheseproblemswithrelatively smallsize.Theyalsofindthatmultipleoptimalsolutionswithdifferentspatialconfigurationsmay existforthesameproblem,whichpresentsanewchallengetothedevelopmentofsolutionmethods forpoliticalredistrictingproblems. KeywORdS Land Acquisition Problems, Political Redistricting Problems, Spatial Contiguity, Spatial Optimization, Strict Equal Population","PeriodicalId":368300,"journal":{"name":"Int. J. Appl. Geospat. Res.","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Appl. Geospat. Res.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/IJAGR.2017100101","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16
基于邻接的政治区划优化模型
Politicalredistrictingisaprocessusedtoredrawpoliticalboundariesbasedonanumberofcriteria thatincludepopulationequality,minorityrepresentation,contiguity,andcompactness。Redistricting planscanbedifficulttodrawmanuallyandsincethe1970stheuseofcomputersinthecreationof redistrictingplanshasincreaseddramatically。Thepurposeofthispaperistoformulatetheproblemof findingredistrictingplansasoptimizationproblemsonthebasisofpopulationequalityandcontiguity。Theauthorsspecificallyaddresstheproblemfromthecontiguityperspective。Theydevelopedtwo exactoptimalmodels:onebasedonaminimumspanningtreeandonebasedonnetworkflows。They discussthespatialrepresentationandtheformulationofcontiguityforbothmodelsandcompare theperformanceofthesetwomodels,alongwithathirdmodeldevelopedintheliterature,usinga varietyofsyntheticandrealdata。Theauthors ' ' resultsconfirmthatsuchaproblemiscomputationally ' '需要' '密集' '和' '更有效' '的方法' '对于' '大' '尺寸' '的问题,' '需要' '适当' ' formulationapproachestheycanobtainusefulbaselinesolutionstotheseproblemswithrelatively smallsize。'Theyalsofindthatmultipleoptimalsolutionswithdifferentspatialconfigurationsmay existforthesameproblem,whichpresentsanewchallengetothedevelopmentofsolutionmethods forpoliticalredistrictingproblems。关键词征地问题,政治区划问题,空间连续性,空间优化,严格人口均等
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