Investigating End-User Acceptance of Last-Mile Delivery by Autonomous Vehicles in the United States

Saravanos, Antonios; Verni, Olivia; Moore, Ian D.; Aboubacar, Sall; Arriaza, Jen; Jivani, Sabrina; Bennett, Audrey; Li, Siqi; Zheng, Dongnanzi; Zervoudakis, Stavros

doi:10.1007/978-3-031-18158-0_37

Cited by 3 publications

(2 citation statements)

References 58 publications

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“…By some contrast, a survey by Kapser and Abdelrahman [23] revealed price to be the most important factor, followed by expected performance. By even further contrast, a survey by Saravanos et al [32] identified perceived usefulness as the most important factor, followed by social influence from the opinion held by others. Men were more likely than women to accept ADRs.…”

Section: Acceptancementioning

confidence: 85%

Autonomous last-mile delivery robots: a literature review

Alverhed,

Hellgren,

Isaksson

et al. 2024

Eur. Transp. Res. Rev.

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This literature review investigates how self-driving autonomous delivery robots (ADRs) impact last-mile deliveries, add value to the logistics and transport industry, and contribute to creating competitive business models. Autonomous vehicles are still a developing technology and ADRs could possibly be one of the solutions to the last-mile problem, in particular in cities and for urban freight with an increasing number of parcels to deliver. Last-mile delivery is also changing as e-commerce and more demanding customers emerge. Such development, however, faces challenges regarding infrastructure, externalities such as CO2 emissions, and shorter delivery-time requirements. This review, focused on ADRs, reveals four major themes (operations, infrastructure, regulations, and acceptance) through which we explain the barriers and benefits of using ADRs for last-mile deliveries. The review shows that the operations of ADRs can impact last-mile deliveries by lowering costs, optimising the use of time, and reducing externalities. The review also shows that the foundation of last-mile infrastructure would have to change if ADRs are to be used to a greater extent. Regulations for ADRs are still not yet in place, which makes the market somewhat confused. The acceptance of ADRs in society is another challenge because the innovation of ADRs is still new and unfamiliar. Altogether, the use of ADRs for last-mile deliveries shows great potential, based on the promising results of the articles reviewed. However, most studies on ADRs have been theoretical in nature, such as models, which highlights the need for real-world case studies and implementations.

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Section: Acceptancementioning

confidence: 85%

Autonomous last-mile delivery robots: a literature review

Alverhed,

Hellgren,

Isaksson

et al. 2024

Eur. Transp. Res. Rev.

View full text Add to dashboard Cite

show abstract

“…Consequently, future research might benefit from incorporating objective data where possible to corroborate selfreported perceptions. For our analysis, we relied on PLS-SEM, which is a common approach used in similarly designed studies (e.g., [26,[50][51][52][53][54]). However, it should be recognized that complementary analyses to SEM-PLS can be performed, such as AHP (e.g., [55]), fsQCA (e.g., [56]), and ANN (e.g., [57]), that could potentially add further insight to our findings.…”

Section: Limitations and Future Research Directionsmentioning

confidence: 99%

Gauging Public Acceptance of Conditionally Automated Vehicles in the United States

Saravanos,

Pissadaki,

Singh

et al. 2024

Smart Cities

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Public acceptance of conditionally automated vehicles is a crucial step in the realization of smart cities. Prior research in Europe has shown that the factors of hedonic motivation, social influence, and performance expectancy, in decreasing order of importance, influence acceptance. Moreover, a generally positive acceptance of the technology was reported. However, there is a lack of information regarding the public acceptance of conditionally automated vehicles in the United States. In this study, we carried out a web-based experiment where participants were provided information regarding the technology and then completed a questionnaire on their perceptions. The collected data was analyzed using PLS-SEM to examine the factors that may lead to public acceptance of the technology in the United States. Our findings showed that social influence, performance expectancy, effort expectancy, hedonic motivation, and facilitating conditions determine conditionally automated vehicle acceptance. Additionally, certain factors were found to influence the perception of how useful the technology is, the effort required to use it, and the facilitating conditions for its use. By integrating the insights gained from this study, stakeholders can better facilitate the adoption of autonomous vehicle technology, contributing to safer, more efficient, and user-friendly transportation systems in the future that help realize the vision of the smart city.

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