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Shelly Etzioni
Faculty of Civil and Environmental Engineering, Technion, Israel Institute of Technology, Haifa 3200003, Israel

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Journal article
Published: 23 April 2021 in Sustainability
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The introduction of shared autonomous vehicles into the transport system is suggested to bring significant impacts on traffic conditions, road safety and emissions, as well as overall reshaping travel behaviour. Compared with a private autonomous vehicle, a shared automated vehicle (SAV) is associated with different willingness-to-adopt and willingness-to-pay characteristics. An important aspect of future SAV adoption is the presence of other passengers in the SAV—often people unknown to the cotravellers. This study presents a cross-country exploration of user preferences and WTP calculations regarding mode choice between a private non-autonomous vehicle, and private and shared autonomous vehicles. To explore user preferences, the study launched a survey in seven European countries, including a stated-preference experiment of user choices. To model and quantify the effect of travel mode attributes and socio-demographic characteristics, the study employs a mixed logit model. The model results were the basis for calculating willingness-to-pay values for all countries and travel modes, and provide insight into the significant heterogeneous, gender-wise effect of cotravellers in the choice to use an SAV. The study results highlight the importance of analysis of the effect of SAV attributes and shared-ride conditions on the future acceptance and adoption rates of such services.

ACS Style

Amalia Polydoropoulou; Ioannis Tsouros; Nikolas Thomopoulos; Cristina Pronello; Arnór Elvarsson; Haraldur Sigþórsson; Nima Dadashzadeh; Kristina Stojmenova; Jaka Sodnik; Stelios Neophytou; Domokos Esztergár-Kiss; Jamil Hamadneh; Graham Parkhurst; Shelly Etzioni; Yoram Shiftan; Floridea Di Ciommo. Who Is Willing to Share Their AV? Insights about Gender Differences among Seven Countries. Sustainability 2021, 13, 4769 .

AMA Style

Amalia Polydoropoulou, Ioannis Tsouros, Nikolas Thomopoulos, Cristina Pronello, Arnór Elvarsson, Haraldur Sigþórsson, Nima Dadashzadeh, Kristina Stojmenova, Jaka Sodnik, Stelios Neophytou, Domokos Esztergár-Kiss, Jamil Hamadneh, Graham Parkhurst, Shelly Etzioni, Yoram Shiftan, Floridea Di Ciommo. Who Is Willing to Share Their AV? Insights about Gender Differences among Seven Countries. Sustainability. 2021; 13 (9):4769.

Chicago/Turabian Style

Amalia Polydoropoulou; Ioannis Tsouros; Nikolas Thomopoulos; Cristina Pronello; Arnór Elvarsson; Haraldur Sigþórsson; Nima Dadashzadeh; Kristina Stojmenova; Jaka Sodnik; Stelios Neophytou; Domokos Esztergár-Kiss; Jamil Hamadneh; Graham Parkhurst; Shelly Etzioni; Yoram Shiftan; Floridea Di Ciommo. 2021. "Who Is Willing to Share Their AV? Insights about Gender Differences among Seven Countries." Sustainability 13, no. 9: 4769.

Journal article
Published: 04 March 2021 in Transportation Research Part C: Emerging Technologies
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We model the mode choice between three novel emerging transportation services and identify latent market segments not studied yet in the context of shared automated vehicles, including ridesharing, car sharing and automated transit, using a hybrid choice model. We use a discrete distribution to capture taste heterogeneity of distinct latent classes. Latent variables, socio-demographics and travel habits inform latent class assignment estimated simultaneously with a discrete choice kernel. Respondents chose their preferred mode for going to work in a set of stated preference choice tasks, based on the attributes of their current commutes using a Bayesian D-Efficient design. Users were segmented into two latent classes based on latent factors that capture time style orientation and public transit dislike. The effects of seating designation, not modeled previously in this context, trip cost and travel times in a shared ride, were estimated for the two classes. Users who neither like transit nor ridesharing with strangers are less likely to choose a shared ride if their designated seat is the middle seat, and overall less likely to choose automated transit. Individuals who have more organized time styles demonstrate higher marginal sensitivity to travel times and costs and are more likely to choose automated transit. Value of time analysis reveals that wait time of services that offer a convenient home pickup is valued lower than in-vehicle time. The implications for future adoption of shared automated vehicles is further discussed.

ACS Style

Shelly Etzioni; Ricardo A. Daziano; Eran Ben-Elia; Yoram Shiftan. Preferences for shared automated vehicles: A hybrid latent class modeling approach. Transportation Research Part C: Emerging Technologies 2021, 125, 103013 .

AMA Style

Shelly Etzioni, Ricardo A. Daziano, Eran Ben-Elia, Yoram Shiftan. Preferences for shared automated vehicles: A hybrid latent class modeling approach. Transportation Research Part C: Emerging Technologies. 2021; 125 ():103013.

Chicago/Turabian Style

Shelly Etzioni; Ricardo A. Daziano; Eran Ben-Elia; Yoram Shiftan. 2021. "Preferences for shared automated vehicles: A hybrid latent class modeling approach." Transportation Research Part C: Emerging Technologies 125, no. : 103013.

Journal article
Published: 23 November 2020 in Sustainability
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The technology that allows fully automated driving already exists and it may gradually enter the market over the forthcoming decades. Technology assimilation and automated vehicle acceptance in different countries is of high interest to many scholars, manufacturers, and policymakers worldwide. We model the mode choice between automated vehicles and conventional cars using a mixed multinomial logit heteroskedastic error component type model. Specifically, we capture preference heterogeneity assuming a continuous distribution across individuals. Different choice scenarios, based on respondents’ reported trip, were presented to respondents from six European countries: Cyprus, Hungary, Iceland, Montenegro, Slovenia, and the UK. We found that large reservations towards automated vehicles exist in all countries with 70% conventional private car choices, and 30% automated vehicles choices. We found that men, under the age of 60, with a high income who currently use private car, are more likely to be early adopters of automated vehicles. We found significant differences in automated vehicles acceptance in different countries. Individuals from Slovenia and Cyprus show higher automated vehicles acceptance while individuals from wealthier countries, UK, and Iceland, show more reservations towards them. Nontrading mode choice behaviors, value of travel time, and differences in model parameters among the different countries are discussed.

ACS Style

Shelly Etzioni; Jamil Hamadneh; Arnór Elvarsson; Domokos Esztergár-Kiss; Milena Djukanovic; Stelios Neophytou; Jaka Sodnik; Amalia Polydoropoulou; Ioannis Tsouros; Cristina Pronello; Nikolas Thomopoulos; Yoram Shiftan. Modeling Cross-National Differences in Automated Vehicle Acceptance. Sustainability 2020, 12, 9765 .

AMA Style

Shelly Etzioni, Jamil Hamadneh, Arnór Elvarsson, Domokos Esztergár-Kiss, Milena Djukanovic, Stelios Neophytou, Jaka Sodnik, Amalia Polydoropoulou, Ioannis Tsouros, Cristina Pronello, Nikolas Thomopoulos, Yoram Shiftan. Modeling Cross-National Differences in Automated Vehicle Acceptance. Sustainability. 2020; 12 (22):9765.

Chicago/Turabian Style

Shelly Etzioni; Jamil Hamadneh; Arnór Elvarsson; Domokos Esztergár-Kiss; Milena Djukanovic; Stelios Neophytou; Jaka Sodnik; Amalia Polydoropoulou; Ioannis Tsouros; Cristina Pronello; Nikolas Thomopoulos; Yoram Shiftan. 2020. "Modeling Cross-National Differences in Automated Vehicle Acceptance." Sustainability 12, no. 22: 9765.