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- 01GJE5178Z03EX5WEEW2CSQK4M classification A1.
- 01GJE5178Z03EX5WEEW2CSQK4M date "2018".
- 01GJE5178Z03EX5WEEW2CSQK4M language "eng".
- 01GJE5178Z03EX5WEEW2CSQK4M type journalArticle.
- 01GJE5178Z03EX5WEEW2CSQK4M subject "Earth and Environmental Sciences".
- 01GJE5178Z03EX5WEEW2CSQK4M doi "10.1016/j.tbs.2018.06.002".
- 01GJE5178Z03EX5WEEW2CSQK4M issn "2214-367X".
- 01GJE5178Z03EX5WEEW2CSQK4M issn "2214-3688".
- 01GJE5178Z03EX5WEEW2CSQK4M volume "13".
- 01GJE5178Z03EX5WEEW2CSQK4M abstract "On-demand ride services, such as those offered by Uber and Lyft, are transforming transportation supply and demand in many ways. As the popularity and visibility of Uber/Lyft grow, an understanding of the factors affecting the use of these services becomes more important. In this paper, we investigate the factors affecting the adoption of on-demand ride services among millennials (i.e. young adults born between 1981 and 1997), and members of the preceding Generation X (i.e. middle-aged adults born between 1965 and 1980) in California. We estimate binary logic models of the adoption of Uber/Lyft with and without the inclusion of attitudinal variables, using the California Millennials Dataset (N = 1975). The results are consistent across models: we find that highly educated, older millennials are more likely to use on-demand ride services than other groups. We also find that greater land-use mix and regional accessibility by car are associated with greater likelihood of adopting on-demand ride services. Respondents who report higher numbers of long-distance business trips and have a higher share of long-distance trips made by plane are also more likely to have used these services, as are frequent users of smartphone transportation-related apps, and those who have previously used taxi and carsharing services. Among various attitudinal factors that were investigated, individuals with stronger pro-environmental, technology-embracing, and variety-seeking attitudes are more inclined to use ridehailing. These findings provide a starting point for efforts to forecast the adoption of on-demand services and their impacts on overall travel patterns across various regions and sociodemographics.".
- 01GJE5178Z03EX5WEEW2CSQK4M author 22d7f9ed-7b0e-11ec-944b-f0b1754d10e9.
- 01GJE5178Z03EX5WEEW2CSQK4M author urn:uuid:9636181b-4d7d-47bc-b8f2-8d6f9523d9ee.
- 01GJE5178Z03EX5WEEW2CSQK4M author urn:uuid:9da2b429-5868-408e-9a7b-f7bf92aa8826.
- 01GJE5178Z03EX5WEEW2CSQK4M author urn:uuid:b2a1bfec-6d63-4b40-8a3c-816f00632559.
- 01GJE5178Z03EX5WEEW2CSQK4M dateCreated "2022-11-21T22:30:39Z".
- 01GJE5178Z03EX5WEEW2CSQK4M dateModified "2024-07-09T07:41:14Z".
- 01GJE5178Z03EX5WEEW2CSQK4M name "What influences travelers to use Uber? Exploring the factors affecting the adoption of on-demand ride services in California".
- 01GJE5178Z03EX5WEEW2CSQK4M pagination urn:uuid:fd20438d-c4f3-46f2-a1f3-3635072820b7.
- 01GJE5178Z03EX5WEEW2CSQK4M sameAs LU-01GJE5178Z03EX5WEEW2CSQK4M.
- 01GJE5178Z03EX5WEEW2CSQK4M sourceOrganization urn:uuid:04eb4eec-6aa3-44e4-984e-829d0ba727cc.
- 01GJE5178Z03EX5WEEW2CSQK4M type A1.