{"title":"巴西城市中心通勤时间的制约因素:实证分析","authors":"Rafael Scherb, Raul da Mota Silveira Neto","doi":"10.52028/tce-sc.v01.i01.art07.pe","DOIUrl":null,"url":null,"abstract":"Brazil presents a high commuting time from home to work by world standards. This paper provides evidences regarding the conditioning factors of commuting time and its analysis is based on the different results that each explanatory variable had in the econometric regression. Based on data from IBGE Census in 2010, this paper used a new division of the national territory to calculate the average time of commuting of each immediate region of urban articulation and identify the reasons why these disparities were verified between regions. The results indicate a strong influence of both socioeconomic characteristics of the region, as well as income inequality – measured by the gini index – and density, and the use of urban space, such as the percentage of people who pay rent, and even demographic characteristics, such as the percentage of women in each region. On this way, it is possible to discuss the advisory role of the courts of accounts in the elaboration of public policy aimed at better urban mobility.","PeriodicalId":231349,"journal":{"name":"Revista do Tribunal de Contas do Estado de Santa Catarina","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Condicionantes do tempo de commuting dos centros urbanos brasileiros: uma análise empírica\",\"authors\":\"Rafael Scherb, Raul da Mota Silveira Neto\",\"doi\":\"10.52028/tce-sc.v01.i01.art07.pe\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Brazil presents a high commuting time from home to work by world standards. This paper provides evidences regarding the conditioning factors of commuting time and its analysis is based on the different results that each explanatory variable had in the econometric regression. Based on data from IBGE Census in 2010, this paper used a new division of the national territory to calculate the average time of commuting of each immediate region of urban articulation and identify the reasons why these disparities were verified between regions. The results indicate a strong influence of both socioeconomic characteristics of the region, as well as income inequality – measured by the gini index – and density, and the use of urban space, such as the percentage of people who pay rent, and even demographic characteristics, such as the percentage of women in each region. On this way, it is possible to discuss the advisory role of the courts of accounts in the elaboration of public policy aimed at better urban mobility.\",\"PeriodicalId\":231349,\"journal\":{\"name\":\"Revista do Tribunal de Contas do Estado de Santa Catarina\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-08-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Revista do Tribunal de Contas do Estado de Santa Catarina\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.52028/tce-sc.v01.i01.art07.pe\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista do Tribunal de Contas do Estado de Santa Catarina","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.52028/tce-sc.v01.i01.art07.pe","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Condicionantes do tempo de commuting dos centros urbanos brasileiros: uma análise empírica
Brazil presents a high commuting time from home to work by world standards. This paper provides evidences regarding the conditioning factors of commuting time and its analysis is based on the different results that each explanatory variable had in the econometric regression. Based on data from IBGE Census in 2010, this paper used a new division of the national territory to calculate the average time of commuting of each immediate region of urban articulation and identify the reasons why these disparities were verified between regions. The results indicate a strong influence of both socioeconomic characteristics of the region, as well as income inequality – measured by the gini index – and density, and the use of urban space, such as the percentage of people who pay rent, and even demographic characteristics, such as the percentage of women in each region. On this way, it is possible to discuss the advisory role of the courts of accounts in the elaboration of public policy aimed at better urban mobility.