{"title":"推广敏感性与分布量的回归模型","authors":"Bowen Yang, Xiaochun Lu, Justine Mutuyimana","doi":"10.1109/LISS.2018.8593270","DOIUrl":null,"url":null,"abstract":"Regional logistics delivery volume is significantly different on holiday promotion days and other dates. Consumers show different promotion sensitivity for different promotion days, and there is a certain linear relationship between the amount of regional distribution and promotion sensitivity. In this paper, through questionnaires, we get the promotion sensitivity of consumers on different promotion days. Through the regression analysis of the distribution volume in five specific regions of Beijing and the promotion sensitivities in different promotion days, the exponential linear relationship between the delivery volume and sales promotion sensitivity in different regions was obtained. This article compares the disparity between the exponential regression models of distribution volume and promotion awareness in each region. The model test results show that the promotion sensitivity and delivery volume of the entire Beijing region, Zhongguancun region, Dahongmen region, CBD region and Huilongguan region satisfy the exponential regression model, while the Daxing region and Dahongmen region regression model do not satisfy the normality assumption. The promotion sensitivity and delivery volume are not linear relationship in Daxing region and Dahongmen region.","PeriodicalId":338998,"journal":{"name":"2018 8th International Conference on Logistics, Informatics and Service Sciences (LISS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Regression Model for Promotion Sensitivity and Distribution Volume\",\"authors\":\"Bowen Yang, Xiaochun Lu, Justine Mutuyimana\",\"doi\":\"10.1109/LISS.2018.8593270\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Regional logistics delivery volume is significantly different on holiday promotion days and other dates. Consumers show different promotion sensitivity for different promotion days, and there is a certain linear relationship between the amount of regional distribution and promotion sensitivity. In this paper, through questionnaires, we get the promotion sensitivity of consumers on different promotion days. Through the regression analysis of the distribution volume in five specific regions of Beijing and the promotion sensitivities in different promotion days, the exponential linear relationship between the delivery volume and sales promotion sensitivity in different regions was obtained. This article compares the disparity between the exponential regression models of distribution volume and promotion awareness in each region. The model test results show that the promotion sensitivity and delivery volume of the entire Beijing region, Zhongguancun region, Dahongmen region, CBD region and Huilongguan region satisfy the exponential regression model, while the Daxing region and Dahongmen region regression model do not satisfy the normality assumption. The promotion sensitivity and delivery volume are not linear relationship in Daxing region and Dahongmen region.\",\"PeriodicalId\":338998,\"journal\":{\"name\":\"2018 8th International Conference on Logistics, Informatics and Service Sciences (LISS)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 8th International Conference on Logistics, Informatics and Service Sciences (LISS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/LISS.2018.8593270\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 8th International Conference on Logistics, Informatics and Service Sciences (LISS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LISS.2018.8593270","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Regression Model for Promotion Sensitivity and Distribution Volume
Regional logistics delivery volume is significantly different on holiday promotion days and other dates. Consumers show different promotion sensitivity for different promotion days, and there is a certain linear relationship between the amount of regional distribution and promotion sensitivity. In this paper, through questionnaires, we get the promotion sensitivity of consumers on different promotion days. Through the regression analysis of the distribution volume in five specific regions of Beijing and the promotion sensitivities in different promotion days, the exponential linear relationship between the delivery volume and sales promotion sensitivity in different regions was obtained. This article compares the disparity between the exponential regression models of distribution volume and promotion awareness in each region. The model test results show that the promotion sensitivity and delivery volume of the entire Beijing region, Zhongguancun region, Dahongmen region, CBD region and Huilongguan region satisfy the exponential regression model, while the Daxing region and Dahongmen region regression model do not satisfy the normality assumption. The promotion sensitivity and delivery volume are not linear relationship in Daxing region and Dahongmen region.