{"title":"四川省交通承载状况及空间差异实证研究","authors":"Yangyang Su, Chuanjie Yan","doi":"10.1109/ICDSBA48748.2019.00031","DOIUrl":null,"url":null,"abstract":"In this paper, we build a evaluation index system of traffic bearing condition of the 21 cities in Sichuan Province. It also employs an entropy method to comprehensively measure the condition of Sichuan Province. According to overall scores, the 21 cities are classified into five categories with SPSS23.0: smooth traffic regions; relatively smooth traffic regions; mild congestion regions; relatively traffic congestion regions and serious traffic congestion regions.","PeriodicalId":382429,"journal":{"name":"2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Empirical Study on Traffic Bearing Condition of Sichuan Province and Empirical Research on Spatial Difference\",\"authors\":\"Yangyang Su, Chuanjie Yan\",\"doi\":\"10.1109/ICDSBA48748.2019.00031\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we build a evaluation index system of traffic bearing condition of the 21 cities in Sichuan Province. It also employs an entropy method to comprehensively measure the condition of Sichuan Province. According to overall scores, the 21 cities are classified into five categories with SPSS23.0: smooth traffic regions; relatively smooth traffic regions; mild congestion regions; relatively traffic congestion regions and serious traffic congestion regions.\",\"PeriodicalId\":382429,\"journal\":{\"name\":\"2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDSBA48748.2019.00031\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDSBA48748.2019.00031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Empirical Study on Traffic Bearing Condition of Sichuan Province and Empirical Research on Spatial Difference
In this paper, we build a evaluation index system of traffic bearing condition of the 21 cities in Sichuan Province. It also employs an entropy method to comprehensively measure the condition of Sichuan Province. According to overall scores, the 21 cities are classified into five categories with SPSS23.0: smooth traffic regions; relatively smooth traffic regions; mild congestion regions; relatively traffic congestion regions and serious traffic congestion regions.