Acceptance of Autonomous Vehicles in Last-Mile Delivery

Cheng-Hsien Hsieh; Shi Lei; Celine Zee

Proceedings of ICLT 2022

Acceptance of Autonomous Vehicles in Last-Mile Delivery

Cheng-Hsien Hsieh; Shi Lei; Celine Zee

School of Business, Singapore University of Social Sciences, Singapore; Centre for Continuing & Professional Education, Singapore University of Social Sciences, Singapore; Centre for Continuing & Professional Education, Singapore University of Social Sciences, Singapore

International Conference on Logistics & Transport 2022, Krabi, Thailand, pp. 79-83

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Abstract

The COVID-19 pandemic has accelerated the contactless adoption of contactless ordering, payment, and delivery for both businesses and consumers. In a technologysavvy era, contactless delivery has emerged as an alternative and complementary to conventional delivery options. However, it is critical to identify the acceptance of these autonomous vehicle technologies for last-mile delivery. To explore the factors influencing consumer acceptance, seven proposed hypotheses were formulated and tested with a quantitative approach based on a stated preference survey. The survey instrument was created according to existing scales of the Technology Acceptance Model (TAM) along with customer concerns. Analytical results reveal that potential consumers in Singapore have a positive attitude toward the use of last-mile autonomous deliveries, where perceived usefulness, perceived ease of use and perception acted as the strongest predictor of intention to accept the last-mile delivery served by autonomous vehicles. of both the courier and recipient by eliminating the need for human contact from front door deliveries. Starship has completed two million last-mile deliveries by the end of 2021, using its autonomous robots [2].

Keywords

autonomous vehicle; last-mile delivery; stated preference survey; Technology Acceptance Model (TAM)

Citation

Cheng-Hsien Hsieh; Shi Lei; Celine Zee (2022). Acceptance of Autonomous Vehicles in Last-Mile Delivery. Proceedings of the International Conference on Logistics & Transport (ICLT 2022), Krabi, Thailand, pp. 79-83.