{"title":"智能手机与城市交通方式选择","authors":"Joseph F. Wyer, W. Wilson","doi":"10.2139/ssrn.2942862","DOIUrl":null,"url":null,"abstract":"The arrival of smartphones has profoundly impacted how commuters make travel decisions. Using travel diary data, we estimate a discrete choice model that identifi es a signi ficant complementarity between smartphones and commuting via public transit. We address potential correlation in unobservables for smartphone ownership and mode choice by making use of excludable variables: mode-specifi c prices, travel times, and the release of the iPhone 4s (the first iPhone featuring Siri). We fi nd that 18% of transit commutes as well as 4.5% of smartphone ownership in the sample can be attributed to this complementarity.","PeriodicalId":239768,"journal":{"name":"Urban Research eJournal","volume":" 40","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Smartphones and Urban Transportation Mode Choice\",\"authors\":\"Joseph F. Wyer, W. Wilson\",\"doi\":\"10.2139/ssrn.2942862\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The arrival of smartphones has profoundly impacted how commuters make travel decisions. Using travel diary data, we estimate a discrete choice model that identifi es a signi ficant complementarity between smartphones and commuting via public transit. We address potential correlation in unobservables for smartphone ownership and mode choice by making use of excludable variables: mode-specifi c prices, travel times, and the release of the iPhone 4s (the first iPhone featuring Siri). We fi nd that 18% of transit commutes as well as 4.5% of smartphone ownership in the sample can be attributed to this complementarity.\",\"PeriodicalId\":239768,\"journal\":{\"name\":\"Urban Research eJournal\",\"volume\":\" 40\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-02-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Urban Research eJournal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.2942862\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Urban Research eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2942862","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The arrival of smartphones has profoundly impacted how commuters make travel decisions. Using travel diary data, we estimate a discrete choice model that identifi es a signi ficant complementarity between smartphones and commuting via public transit. We address potential correlation in unobservables for smartphone ownership and mode choice by making use of excludable variables: mode-specifi c prices, travel times, and the release of the iPhone 4s (the first iPhone featuring Siri). We fi nd that 18% of transit commutes as well as 4.5% of smartphone ownership in the sample can be attributed to this complementarity.
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