Matches in Ghent University Academic Bibliography for { <https://biblio.ugent.be/publication/01GJE4XAC9HVBJF9E6Y7WNMYEG> ?p ?o. }
Showing items 1 to 19 of
19
with 100 items per page.
- 01GJE4XAC9HVBJF9E6Y7WNMYEG classification A1.
- 01GJE4XAC9HVBJF9E6Y7WNMYEG date "2019".
- 01GJE4XAC9HVBJF9E6Y7WNMYEG language "eng".
- 01GJE4XAC9HVBJF9E6Y7WNMYEG type journalArticle.
- 01GJE4XAC9HVBJF9E6Y7WNMYEG subject "Earth and Environmental Sciences".
- 01GJE4XAC9HVBJF9E6Y7WNMYEG doi "10.1016/j.tra.2018.12.015".
- 01GJE4XAC9HVBJF9E6Y7WNMYEG issn "0965-8564".
- 01GJE4XAC9HVBJF9E6Y7WNMYEG volume "124".
- 01GJE4XAC9HVBJF9E6Y7WNMYEG abstract "From early studies of time allocation onward, it has been acknowledged that the "productive" nature of travel could affect its utility. Currently, at the margin an individual may choose transit over a shorter automobile trip, if thereby she is able to use the travel time more productively. On the other hand, recent advancements toward partly/fully automated vehicles are poised to revolutionize the perception and utilization of travel time in cars, and are further blurring the role of travel as a crisp transition between location-based activities. To quantify these effects, we created and administered a survey to measure travel multitasking attitudes and behaviors, together with general attitudes, mode-specific perceptions, and standard socioeconomic traits (N = 2229 Northern California commuters). In this paper, we present a revealed preference mode choice model that accounts for the impact of multitasking attitudes and behavior on the utility of various alternatives. We fmd that the propensity to engage in productive activities on the commute, operationalized as using a laptop/tablet, significantly influences utility and accounts for a small but non-trivial portion of the current mode shares. For example, the model estimates that commuter rail, transit, and car/vanpool shares would respectively be 0.11, 0.23, and 1.18 percentage points lower, and the drive-alone share 1.49 percentage points higher, if the option to use a laptop or tablet while commuting were not available. Conversely, in a hypothetical autonomous vehicles scenario, where the car would allow a high level of engagement in productive activities, the drive-alone share would increase by L48 percentage points. The results empirically demonstrate the potential of a multitasking propensity to reduce the disutility of travel time. Further, the methodology can be generalized to account for other properties of autonomous vehicles, among other applications.".
- 01GJE4XAC9HVBJF9E6Y7WNMYEG author 22d7f9ed-7b0e-11ec-944b-f0b1754d10e9.
- 01GJE4XAC9HVBJF9E6Y7WNMYEG author urn:uuid:7c831d8a-4da3-49ae-8042-3c94dc78655f.
- 01GJE4XAC9HVBJF9E6Y7WNMYEG author urn:uuid:e9f1b144-3b76-46df-a61f-8010e7e192e3.
- 01GJE4XAC9HVBJF9E6Y7WNMYEG dateCreated "2022-11-21T22:28:31Z".
- 01GJE4XAC9HVBJF9E6Y7WNMYEG dateModified "2024-07-09T07:41:19Z".
- 01GJE4XAC9HVBJF9E6Y7WNMYEG name "How do activities conducted while commuting influence mode choice? Using revealed preference models to inform public transportation advantage and autonomous vehicle scenarios".
- 01GJE4XAC9HVBJF9E6Y7WNMYEG pagination urn:uuid:4e841040-f7b3-469c-af47-c5592d3c3df9.
- 01GJE4XAC9HVBJF9E6Y7WNMYEG sameAs LU-01GJE4XAC9HVBJF9E6Y7WNMYEG.
- 01GJE4XAC9HVBJF9E6Y7WNMYEG sourceOrganization urn:uuid:845f9dcd-203f-46cd-972c-2e05ad8c4e1d.
- 01GJE4XAC9HVBJF9E6Y7WNMYEG type A1.