{"title":"Typology of Local Patterns of Voter Support for Political Parties At the 2004 Federal Election","authors":"R. Stimson, P. Chhetri, Tung-Kai Shyy","doi":"10.4225/03/590AC2A83553F","DOIUrl":null,"url":null,"abstract":"A distinctive spatial pattern has emerged for the Coalition and Labor vote in Australian federal elections, with voting landscapes associated with the particular demographic and socio-economic characteristics of local areas. The authors used Australian Electoral Commission data on voting at the polling booth level and socio-economic data on the areas surrounding each booth taken from the 2001 census. These two data sets were combined into a database, now available online. The current article describes the general socio-economic location of voters for the main political parties in 2001, and uses the model developed from these data to predict voting outcomes in 2004.","PeriodicalId":85256,"journal":{"name":"People and place","volume":"15 1","pages":"1-12"},"PeriodicalIF":0.0000,"publicationDate":"2007-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"People and place","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4225/03/590AC2A83553F","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
A distinctive spatial pattern has emerged for the Coalition and Labor vote in Australian federal elections, with voting landscapes associated with the particular demographic and socio-economic characteristics of local areas. The authors used Australian Electoral Commission data on voting at the polling booth level and socio-economic data on the areas surrounding each booth taken from the 2001 census. These two data sets were combined into a database, now available online. The current article describes the general socio-economic location of voters for the main political parties in 2001, and uses the model developed from these data to predict voting outcomes in 2004.