{"title":"基于 GPS 的艾哈迈达巴德市噪音绘图","authors":"Akshay Vinaychandra Vora, R. Vasani","doi":"10.1093/tse/tdac033","DOIUrl":null,"url":null,"abstract":"Noise mapping is an effective tool to measure noise. By noise mapping one can represent noise graphically. Noise mapping was carried out for Ahmedabad city. Data was collected at 633 different locations across the city. Latitude, longitude and real-time noise levels were noted at each location. ArcGIS software was used for creating noise maps and colour noise maps. The percentage of the city covered by the respective value of contour of noise was also found using the software, as well as the number of people in the city suffering from the respective levels of noise. Considering all the results, a multi-linear regression model was developed to predict noise, using SPSS statistics software. The developed model was analysed using an R2 test as well as a paired t-test.","PeriodicalId":52804,"journal":{"name":"Transportation Safety and Environment","volume":"35 1","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"GPS-based noise mapping of Ahmedabad city\",\"authors\":\"Akshay Vinaychandra Vora, R. Vasani\",\"doi\":\"10.1093/tse/tdac033\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Noise mapping is an effective tool to measure noise. By noise mapping one can represent noise graphically. Noise mapping was carried out for Ahmedabad city. Data was collected at 633 different locations across the city. Latitude, longitude and real-time noise levels were noted at each location. ArcGIS software was used for creating noise maps and colour noise maps. The percentage of the city covered by the respective value of contour of noise was also found using the software, as well as the number of people in the city suffering from the respective levels of noise. Considering all the results, a multi-linear regression model was developed to predict noise, using SPSS statistics software. The developed model was analysed using an R2 test as well as a paired t-test.\",\"PeriodicalId\":52804,\"journal\":{\"name\":\"Transportation Safety and Environment\",\"volume\":\"35 1\",\"pages\":\"\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2023-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transportation Safety and Environment\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1093/tse/tdac033\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"TRANSPORTATION SCIENCE & TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Safety and Environment","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1093/tse/tdac033","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"TRANSPORTATION SCIENCE & TECHNOLOGY","Score":null,"Total":0}
Noise mapping is an effective tool to measure noise. By noise mapping one can represent noise graphically. Noise mapping was carried out for Ahmedabad city. Data was collected at 633 different locations across the city. Latitude, longitude and real-time noise levels were noted at each location. ArcGIS software was used for creating noise maps and colour noise maps. The percentage of the city covered by the respective value of contour of noise was also found using the software, as well as the number of people in the city suffering from the respective levels of noise. Considering all the results, a multi-linear regression model was developed to predict noise, using SPSS statistics software. The developed model was analysed using an R2 test as well as a paired t-test.