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User preferences have a critical impact on transportation and social benefits generated by FAVs. FAVs eliminate the need for human intervention. As a result, the way people use FAVs is expected to be distinct from their use of traditional vehicles. To date, few studies have examined the likely use of FAV with respect to parking location choice and multitasking. The number of studies on the adoptions of FAVs is larger, but most of these did not include adoption rates in the context of emerging sharing options. A lack of understanding people's preferences and expected use of FAVs may lead to various issues such as poor design of FAVs and unreasonable related policies. This PhD study therefore contributes to the state of knowledge in this still underdeveloped area of research by examining the adoptions of various forms of FAVs, parking choices of FAV users and the intention to conduct in-vehicle activities on commuter trips by FAVs. The study provides insights for FAV design, transportation research and urban planning. First, transportation and urban policy makers should be aware that the actual utility of new technologies depends on individual choices. While the combination of autonomous driving technology and sharing concepts promises to create greater value, our findings suggest that people typically intend to keep their existing cars or buy FAVs as opposed to using shared cars. The possibility of using SAV depends to a large extent on operating costs and hourly rates, but also on vehicle availability and access times. In general, SAVs have an advantage over traditional car sharing. The findings reveal that multitasking in FAVs has greater appeal to people and that people have different multitasking intentions during travel, Significant heterogeneity among individuals was found in the choice of emerging mobility options. Individual choices are closely related to socio-demographic characteristics of the individual and the underlying aspects (risk perception, privacy space, environmental protection, enjoyment of driving). Maximizing the utility of new mobile options requires policymakers to consider and accommodate the needs and experiences of different social groups.In addition, the advantages of FAVs could theoretically be used to solve urban parking challenges, reduce parking congestion and optimize urban land use. This study reveals how people choose the right place to park for their FAVs. After estimating a mixed logit model that incorporates the interaction effects between the main attributes and background variables as well as between design attributes, both observed and unobserved taste variation between FAV users was identified. Our findings show that factors affecting traditional car parking choices also have a significant impact on FAVs. Access time and congestion time play an important role. For the most part, individuals prefer parking lots with access time of less than ten minutes, but this also depends on the context of the trip, the time window for the next trip and the requirement to be on time. The effect of congestion time on parking choice behavior shows stronger heterogeneity. Lastly, the multitasking opportunity seems a major factor in attracting users to FAVs. Overall, IVAs are more attractive to people on mid- to long-distance commutes, i.e., trips longer than 25 minutes. Significant heterogeneity was demonstrated in the choice behavior of different IVAs. Youngers, high-educational-level groups, and groups with a job showed a higher interest in most IVAs. In addition, gender, household income, motion sickness, and license ownership also had multiple effects on people's intentions. Moreover, our study provides the first insight into the potential endogenous effects among IVAs. |
