Consumers’ expectations and attitudes towards owning, sharing, and riding autonomous vehicles

Silvestri, Fulvio; De Fabiis, Francesco; Coppola, Pierluigi

doi:10.1016/j.cstp.2023.101112

Cited by 3 publications

(1 citation statement)

References 65 publications

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“…Consistent with findings from studies at academic institutions [27,28,90], our research indicates a significant inclination towards ridesharing among students and younger community members. Studies outside of academic settings also align with the results obtained showing that older adults are less inclined towards acceptance of new mobility solutions [91,92]. This aligns with the observed trend that younger, less car-dependent demographics are more receptive to alternative modes of transport, including carsharing and ridesharing.…”

Section: Hierarchical Clusteringsupporting

confidence: 83%

Exploring Sustainable Urban Transportation: Insights from Shared Mobility Services and Their Environmental Impact

Garus,

Mourtzouchou,

Suarez

et al. 2024

Smart Cities

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The transportation landscape is witnessing profound changes due to technological advancements, necessitating proactive policy responses to harness innovation and avert urban mobility disruption. The sharing economy has already transformed ridesharing, bicycle-sharing, and electric scooters, with shared autonomous vehicles (SAVs) poised to reshape car ownership. This study pursues two objectives: firstly, to establish a market segmentation for shared ride services and secondly, to evaluate the environmental impact of ridesharing in different contexts. To mitigate potential biases linked to stated preference data, we analysed the navette service, utilized by a research institute in Europe, closely resembling future SAVs. The market segmentation relied on hierarchical cluster analysis using employee survey responses, while the environmental analysis was grounded in the 2019 navette service data. Our analysis revealed four unique employee clusters: Cluster 1, emphasizing active transportation and environmental awareness; Cluster 2, showing openness towards SAVs given reliable alternatives are available; Cluster 3, the largest segment, highlighting a demand for policy support and superior service quality; and Cluster 4, which places a premium on time, suggesting a potential need for strategies to make the service more efficient and, consequently, discourage private car use. These findings highlight a general willingness to adopt shared transport modes, signalling a promising transition to shared vehicle ownership with significant environmental benefits achievable through service design and policy measures.

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Section: Hierarchical Clusteringsupporting

confidence: 83%

Exploring Sustainable Urban Transportation: Insights from Shared Mobility Services and Their Environmental Impact

Garus,

Mourtzouchou,

Suarez

et al. 2024

Smart Cities

View full text Add to dashboard Cite

show abstract

Shared benefits and sustainable mobility – A case of autonomous bus

Koskinen,

Mallat,

Raj Upreti

2024

Case Studies on Transport Policy

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Evolutionary game analysis on cross-border cooperative R&D of intelligent new energy vehicle industry

Tang,

Wu,

Wang

2024

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PurposeIntelligent new energy vehicles (INEVs) are becoming the competitive hotspot for the automobile industry. The major purpose of this study is to determine how to increase innovation efficiency through knowledge sharing and technology spill between new energy vehicle (NEV) enterprises and technology enterprises. This will help to improve the core competence of the automobile industry in China. Also, it serves as a guide for the growth of other strategic.Design/methodology/approachThe authors construct a tripartite evolutionary game model to study the cross-border cooperative innovation problem. Firstly, the payment matrix of NEV enterprise, technology enterprise and government is established, and the expected revenue of each participant is determined. Then, the replication dynamic equations and evolutionary stability strategies are analyzed. Finally, the theoretical research is validated through numerical simulation.FindingsResults showed that: (1) An optimal range of revenue distribution coefficient exists in the cross-border cooperation. (2) Factors like research and development (R&D) success rate, subsidies, resource and technology complementarity, and vehicles intelligence positively influence the evolution towards cooperative strategies. (3) Factors like technology spillover risk cost inhibit the evolution towards cooperative strategies. To be specific, when the technology spillover risk cost is greater than 2.5, two enterprises are inclined to choose independent R&D, and the government chooses to provide subsidy.Research limitations/implicationsThe research perspective and theoretical analysis are helpful to further explore the cross-border cooperation of the intelligent automobile industry. The findings suggest that the government can optimize the subsidy policy according to the R&D capability and resource allocation of automobile industry. Moreover, measures are needed to reduce the risk of technology spillovers to encourage enterprise to collaborate and innovate. The results can provide reference for enterprises’ strategic choice and government’s policy making.Originality/valueThe INEV industry has become an important development direction of the global automobile industry. However, there is limited research on cross-border cooperation of INEV industry. Hence, authors construct a tripartite evolutionary game model involving NEV enterprise, technology enterprise and the government, and explore the relationship of cooperation and competition among players in the INEV industry, which provides a new perspective for the development of the INEV industry.

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Consumers’ expectations and attitudes towards owning, sharing, and riding autonomous vehicles

Cited by 3 publications

References 65 publications

Exploring Sustainable Urban Transportation: Insights from Shared Mobility Services and Their Environmental Impact

Exploring Sustainable Urban Transportation: Insights from Shared Mobility Services and Their Environmental Impact

Shared benefits and sustainable mobility – A case of autonomous bus

Evolutionary game analysis on cross-border cooperative R&D of intelligent new energy vehicle industry

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