{"title":"减少流动性大数据中的偏差：大型公交系统监测案例研究","authors":"Feilong Wang, Xuegang (Jeff) Ban, Peng Chen, Chenxi Liu, Rong Zhao","doi":"10.1080/19427867.2024.2379703","DOIUrl":null,"url":null,"abstract":"Big mobility data (BMD) have shown many advantages in studying human mobility and evaluating the performance of transportation systems. However, the quality of BMD remains poorly understood. This s...","PeriodicalId":501080,"journal":{"name":"Transportation Letters","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mitigating biases in big mobility data: a case study of monitoring large-scale transit systems\",\"authors\":\"Feilong Wang, Xuegang (Jeff) Ban, Peng Chen, Chenxi Liu, Rong Zhao\",\"doi\":\"10.1080/19427867.2024.2379703\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Big mobility data (BMD) have shown many advantages in studying human mobility and evaluating the performance of transportation systems. However, the quality of BMD remains poorly understood. This s...\",\"PeriodicalId\":501080,\"journal\":{\"name\":\"Transportation Letters\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transportation Letters\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/19427867.2024.2379703\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Letters","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/19427867.2024.2379703","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mitigating biases in big mobility data: a case study of monitoring large-scale transit systems
Big mobility data (BMD) have shown many advantages in studying human mobility and evaluating the performance of transportation systems. However, the quality of BMD remains poorly understood. This s...
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