M. Kim, N. Xiao
{"title":"基于邻接的政治区划优化模型","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":"{\"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}","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
Contiguity-Based Optimization Models for Political Redistricting Problems
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