To own or not to own – That is the question: The value of owning a (fully automated) vehicle

Wadud, Zia; Chintakayala, Phani Kumar

doi:10.1016/j.trc.2021.102978

Cited by 35 publications

(11 citation statements)

References 57 publications

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“…19 We are aware of ongoing work on hedonic approach to value the convenience of owning a car at the University of California, Davis by Lew Fulton and colleagues. Wadud and Chintakayala (2020) are also attempting to model the value of convenience of ownership using choice experiments.…”

Section: Discussion On Tcou and Least-cost Alternativesmentioning

confidence: 99%

Fully automated vehicles: A cost-based analysis of the share of ownership and mobility services, and its socio-economic determinants

Wadud

Mattioli

2021

Transportation Research Part A: Policy and Practice

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Section: Discussion On Tcou and Least-cost Alternativesmentioning

confidence: 99%

Fully automated vehicles: A cost-based analysis of the share of ownership and mobility services, and its socio-economic determinants

Wadud

Mattioli

2021

Transportation Research Part A: Policy and Practice

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“…Likewise, in Dalian, the travel cost coefficient is β tc � −0.02304, and the travel time coefficient is β tt � −0.0156, resulting in an average VTTS of 0.677 CNY/min or 40.62 CNY/hr ($6.36/hr) across all modes. For comparison, the VTTS in the United Kingdom is 11.7 pounds/hr ($16.51/hr) across all modes with an average distance of 12.87 km [59].…”

Section: Sociodemographic Variablesmentioning

confidence: 99%

Public Preferences of Shared Autonomous Vehicles in Developing Countries: A Cross-National Study of Pakistan and China

Zhong

Muhammad

Zhong

et al. 2021

Journal of Advanced Transportation

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Shared autonomous vehicles (SAVs) are rapidly emerging as a viable alternative form of public transportation with the potential to provide adequate and user-friendly, on-demand services without having vehicle ownership. It has been argued that SAVs could revolutionize transportation systems and our current way of life. Although SAVs are likely to be introduced in developed countries first, there is little doubt that they would also have a significant effect and enormous market in developing nations. This study aimed to investigate the factors that influence public acceptance of SAVs, as well as the current public attitude toward SAVs, in two developing countries, namely, Pakistan and China. A stated preference survey was conducted to understand respondents’ travel patterns, preferences, and sociodemographic data. A total of 910 valid responses were gathered: 551 from Lahore, Pakistan, and 359 from Dalian, China. A multinomial logit model and a mixed multinomial logit model with panel effect were used for data analysis. The results suggested that generic attributes, such as respondents’ waiting time, travel time, and travel cost were found to be significant in both cities. The results indicate that sociodemographic characteristics, such as education, income, travel frequency in a week, and people who had driver’s licenses, are significantly correlated with respondents’ interest in using SAV in Lahore. The results also showed that people who had a private car indicated a greater interest in SAVs in Dalian. The study provides a new perspective to understand the public preferences toward SAVs in developing countries with different economies and cultures, as well as a benchmark for policymakers to make effective policies for the future implementation of SAVs.

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“…The most prominent changes include increased use of electrified and autonomous vehicles as well as on-demand mobility schemes, including car sharing and ride sharing. These trends will affect the pathways towards decarbonization of passenger car travel, including changes in cost structures 7 and the value of travel time [25][26][27] , which may induce additional travel activity 28 and cause modal shifts 29,30 . These trends may also cause changes in vehicle design, including materials used in manufacturing 31 and changes to facilitate material recycling 32 , but many of these aspects are yet to materialize.…”

Section: Discussionmentioning

confidence: 99%

Shared mobility may limit vehicle lifetimes – implications for the carbon footprint

Morfeldt

Johansson

2022

Preprint

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Car sharing and ride sharing will likely increase the annual vehicle driving distance, which in turn may accelerate passenger car retirement. In this study, we develop a semi-empirical lifetime-driving intensity model. We integrate our model with a carbon footprint estimation model, which assesses future decarbonization of global, European, and Swedish energy systems. We calibrate the lifetime-driving intensity model using Swedish vehicle retirement statistics, which suggest that driving intensity strongly impacts vehicle lifetimes. Our combined model shows that use-phase emissions depend on driving intensity, while manufacturing emissions are distributed over the cumulative driving distance. Hence, the carbon footprint depends on both the calendar age and cumulative driving distance of the vehicle. The results of our study also show that higher driving intensities generally result in lower carbon footprints. However, empty travel by shared autonomous vehicles, i.e., the additional distance traveled to pick up passengers, may cause carbon footprints to increase.

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To own or not to own – That is the question: The value of owning a (fully automated) vehicle

Cited by 35 publications

References 57 publications

Fully automated vehicles: A cost-based analysis of the share of ownership and mobility services, and its socio-economic determinants

Fully automated vehicles: A cost-based analysis of the share of ownership and mobility services, and its socio-economic determinants

Public Preferences of Shared Autonomous Vehicles in Developing Countries: A Cross-National Study of Pakistan and China

Shared mobility may limit vehicle lifetimes – implications for the carbon footprint

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