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| Tekkaya, A. Erman |
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| Förster, Peter |
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| Mudimu, George T. |
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| Shibata, Lillian Marie |
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| Talabbeydokhti, Nasser |
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| Laffite, Ernesto Dante Rodriguez |
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| Schöpke, Benito |
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| Gobis, Anna |
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| Alfares, Hesham K. |
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| Münzel, Thomas |
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| Joy, Gemini Velleringatt |
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| Oubahman, Laila |
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| Filali, Youssef |
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| Philippi, Paula |
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| George, Alinda |
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| Lucia, Caterina De |
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| Avril, Ludovic |
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| Belachew, Zigyalew Gashaw |
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| Kassens-Noor, Eva | Darmstadt |
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| Cho, Seongchul |
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| Tonne, Cathryn |
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| Hosseinlou, Farhad |
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| Ganvit, Harsh |
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| Schmitt, Konrad Erich Kork |
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| Grimm, Daniel |
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Circella, Giovanni
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (21/21 displayed)
- 2023Combining disparate surveys across time to study satisfaction with life: the effects of study context, sampling method, and transport attributescitations
- 2023Changes in Active Travel During the COVID-19 Pandemiccitations
- 2023Conclusion: Reflections and Lessons from the Pandemic
- 2023Adoption of Telecommuting and Changes in Travel Behavior in Southern California During the COVID-19 Pandemiccitations
- 2022Adoption of telecommuting and changes in travel behavior in Southern California during the COVID-19 pandemiccitations
- 2021Who doesn’t mind waiting? Examining the relationships between waiting attitudes and person- and travel-related attributescitations
- 2021Glimpse of the future : simulating life with personally owned autonomous vehicles and their implications on travel behaviorscitations
- 2021What drives the gap? Applying the Blinder–Oaxaca decomposition method to examine generational differences in transportation-related attitudescitations
- 2021Do millennials value travel time differently because of productive multitasking? A revealed-preference study of Northern California commuterscitations
- 2020Will autonomous vehicles change residential location and vehicle ownership? Glimpses from Georgiacitations
- 2020Are millennials more multimodal? A latent-class cluster analysis with attitudes and preferences among millennial and Generation X commuters in Californiacitations
- 2019Identifying latent mode-use propensity segments in an all-AV eracitations
- 2019Who doesn’t mind waiting? Examining the relationships between waiting attitudes and person- and travel-related attributescitations
- 2019It’s not all fun and games : an investigation of the reported benefits and disadvantages of conducting activities while commutingcitations
- 2019How do activities conducted while commuting influence mode choice? Using revealed preference models to inform public transportation advantage and autonomous vehicle scenarioscitations
- 2019Millennials in cities : comparing travel behaviour trends across six case study regionscitations
- 2018Transport policy in the era of ridehailing and other disruptive transportation technologiescitations
- 2018Projecting travelers into a world of self-driving vehicles: estimating travel behavior implications via a naturalistic experimentcitations
- 2018Projecting travelers into a world of self-driving vehicles : estimating travel behavior implications via a naturalistic experimentcitations
- 2015The estimation of changes in rail ridership through an onboard survey: did free Wi-Fi make a difference to Amtrak’s Capitol Corridor service?citations
- 2006Smart Technologies for Environmental Safety and Knowledge Enhancement in Intermodal Transport
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article
Glimpse of the future : simulating life with personally owned autonomous vehicles and their implications on travel behaviors
Abstract
To explore potential travel behavior shifts induced by personally owned, fully autonomous vehicles (AVs), we ran an experiment that provided personal chauffeurs to 43 households in the Sacramento region to simulate life with an AV. Like an advanced AV, the chauffeurs took over driving duties. Households were recruited from the 2018 Sacramento household travel survey sample. Sampling was stratified by weekly vehicle miles traveled (VMT), and households were selected to be diverse by demographics, modal preferences, mobility barriers, and residential location. Thirty-four households received 60 h of chauffeur service for 1 week, and nine households received 60 h per week for 2 weeks. Smartphone-based travel diaries were recorded for the chauffeur week(s), 1 week before, and 1 week after. During the chauffeur week, the overall systemwide VMT (summing across all sampled households) increased by 60%, over half of which came from "zero-occupancy vehicle" (ZOV) trips (when the chauffeur was the only occupant). The number of trips made in the system increased by 25%, with ZOV trips accounting for 85% of these additional trips. There was a shift away from transit, ridehailing, biking, and walking trips, which dropped by 70%, 55%, 38%, and 10%, respectively. Households with mobility barriers and those with less auto dependency had the greatest percent increase in VMT, whereas higher VMT households and families with children had the lowest. The results highlight how AVs can enhance mobility, but also caution against the potential detrimental effects on the transportation system and the need to regulate AVs and ZOVs.
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