{"title":"利用出租车流量感知城市交通","authors":"Marco Veloso, S. Phithakkitnukoon, C. Bento","doi":"10.1145/2063212.2063215","DOIUrl":null,"url":null,"abstract":"The analysis of taxi flow can help better understand the urban mobility. In this work, we analyze 177, 169 taxi trips collected in Lisbon, Portugal, to explore the relationships between pick-up and drop-off locations; the behavior between the previous drop-off to the following pick-up; and the impact of area type in taxi services. We also carry out the analysis of predictability of taxi trips given history of taxi flow in time and space.","PeriodicalId":107369,"journal":{"name":"Workshop on Location-based Social Networks","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"47","resultStr":"{\"title\":\"Sensing urban mobility with taxi flow\",\"authors\":\"Marco Veloso, S. Phithakkitnukoon, C. Bento\",\"doi\":\"10.1145/2063212.2063215\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The analysis of taxi flow can help better understand the urban mobility. In this work, we analyze 177, 169 taxi trips collected in Lisbon, Portugal, to explore the relationships between pick-up and drop-off locations; the behavior between the previous drop-off to the following pick-up; and the impact of area type in taxi services. We also carry out the analysis of predictability of taxi trips given history of taxi flow in time and space.\",\"PeriodicalId\":107369,\"journal\":{\"name\":\"Workshop on Location-based Social Networks\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"47\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Workshop on Location-based Social Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2063212.2063215\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Workshop on Location-based Social Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2063212.2063215","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The analysis of taxi flow can help better understand the urban mobility. In this work, we analyze 177, 169 taxi trips collected in Lisbon, Portugal, to explore the relationships between pick-up and drop-off locations; the behavior between the previous drop-off to the following pick-up; and the impact of area type in taxi services. We also carry out the analysis of predictability of taxi trips given history of taxi flow in time and space.
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