Evaluating Public Acceptance of Autonomous Delivery Robots During COVID-19 Pandemic

Mishra, Sabya; Golias, Mihalis M.; Pani, Agnivesh; Figliozzi, Miguel; Kaisar, Evangelos I.

i

Evaluating Public Acceptance of Autonomous Delivery Robots During COVID-19 Pandemic

2021-01-01
By Mishra, Sabya ; Golias, Mihalis M. ; Pani, Agnivesh

File Language:

English

Details

Creators:

Mishra, Sabya ; Golias, Mihalis M. ; Pani, Agnivesh ; Figliozzi, Miguel ; Kaisar, Evangelos I.
Corporate Creators:

University of Memphis ; Portland State University ; Florida Atlantic University. Freight Mobility Research Institute
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
Subject/TRT Terms:
Publication/ Report Number:

Y4R1-20
Resource Type:

Tech Report
Geographical Coverage:

Portland (Oregon);United States
Edition:

Final Report
Corporate Publisher:

Freight Mobility Research Institute. Florida Atlantic University
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.
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/77017/dot_77017_DS1.pdf
File Type:

[PDF - 595.71 KB]
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha-512:bf244f96131f5bb8119e7f39d412280c4551fe8031fb33b0687aec7a8f57cadf0bd21dd479a4e84d566069fcc525f425640b7f39268c95502791fce8bda3c07a

File Language:

English

ON THIS PAGE

Details

Found an issue?

Send us an email at:

publishinghd@cdc.gov

ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.