{"title":"利用对数和幂方程预测圣彼得堡公路货物运输量","authors":"E. A. Pil, T. Kovalev","doi":"10.31799/2077-5687-2021-4-11-21","DOIUrl":null,"url":null,"abstract":"The article presents an analysis of the transported goods by motor transport of St. Petersburg and their forecast until 2030 using the Trend Line program, which is included as the MS Excel database software. This analysis was based on statistical data for the period from 2000 to 2020. The obtained equations showed that the logarithmic and power equations should be used in the forecast, on the basis of which the analysis was carried out until 2030.","PeriodicalId":329114,"journal":{"name":"System analysis and logistics","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"USING LOGARITHMIC AND POWER EQUATIONS TO PREDICT THE VOLUME OF TRANSPORTED GOODS BY ROAD IN ST. PETERSBURG\",\"authors\":\"E. A. Pil, T. Kovalev\",\"doi\":\"10.31799/2077-5687-2021-4-11-21\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article presents an analysis of the transported goods by motor transport of St. Petersburg and their forecast until 2030 using the Trend Line program, which is included as the MS Excel database software. This analysis was based on statistical data for the period from 2000 to 2020. The obtained equations showed that the logarithmic and power equations should be used in the forecast, on the basis of which the analysis was carried out until 2030.\",\"PeriodicalId\":329114,\"journal\":{\"name\":\"System analysis and logistics\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"System analysis and logistics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31799/2077-5687-2021-4-11-21\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"System analysis and logistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31799/2077-5687-2021-4-11-21","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
USING LOGARITHMIC AND POWER EQUATIONS TO PREDICT THE VOLUME OF TRANSPORTED GOODS BY ROAD IN ST. PETERSBURG
The article presents an analysis of the transported goods by motor transport of St. Petersburg and their forecast until 2030 using the Trend Line program, which is included as the MS Excel database software. This analysis was based on statistical data for the period from 2000 to 2020. The obtained equations showed that the logarithmic and power equations should be used in the forecast, on the basis of which the analysis was carried out until 2030.