Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/33961
Title: Evaluating public acceptance of autonomous delivery robots during COVID-19 pandemic
Authors: Pani, Agnivesh 
Mishra, Sabyasachee 
Golias, Mihalis 
Figliozzi, Miguel 
Major Field of Science: Engineering and Technology
Field Category: ENGINEERING AND TECHNOLOGY
Keywords: Low-carbon delivery;Consumer acceptance;Attitude-based segmentation;Willingness to pay;Latent class analysis;COVID-19
Issue Date: 1-Dec-2020
Source: Transportation Research Part D: Transport and Environment, vol.89, 2020
Volume: 89
Journal: Transportation Research Part D: Transport and Environment 
Abstract: Autonomous delivery robot (ADR) technology for last-mile freight deliveries is a valuable step towards low-carbon logistics. The ongoing COVID-19 pandemic has put a global spotlight on ADRs for contactless package deliveries, and tremendous market interest has been pushing ADR developers to provide large-scale operation in several US cities. The deployment and penetration of ADR technology in this emerging marketplace calls for collection and analysis of consumer preference data on ADRs. This study addresses the need for research on public acceptance of ADRs and offers a detailed analysis of consumer preferences, trust, attitudes, and willingness to pay (WTP) using a representative sample of 483 consumers in Portland. The results reveal six underlying consumer segments: Direct Shoppers, E-Shopping Lovers, COVID Converts, Omnichannel Consumers, E-Shopping Skeptics, and Indifferent Consumers. By identifying the WTP determinants of these latent classes, this study provides actionable guidance for fostering mass adoption of low-carbon deliveries in the last-mile.
URI: https://hdl.handle.net/20.500.14279/33961
ISSN: 13619209
DOI: 10.1016/j.trd.2020.102600
Type: Article
Affiliation : University of Memphis 
Portland State University 
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

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