Understanding stakeholder preferences for autonomous delivery robots in small communities: A study from Veberöd, Sweden

Autonomous Delivery Robots (ADR) are increasingly presented as a way to address persistent last-mile logistics challenges. Existing research, however, often examines ADR adoption from the perspective of single stakeholder groups, overlooking how these viewpoints interact. Considering these perspectives together is crucial for developing shared understanding and solutions that different actors can support. This study contributes to ADR research by examining the perceptions of multiple stakeholder groups and identifying factors that shape a functional and socially accepted future delivery system. In connection with a live ADR test in the village of Veberöd, Sweden, we conducted a scenario-based multi-actor–multi-criteria analysis (MAMCA). Stakeholders expressed preferences for autonomous delivery options capable of handling high shipment volumes and diverse goods. Beyond operational capacity, they emphasised context-specific value, including support for the local economy, strengthened social ties, and reduced environmental impacts. These preferences underscore the importance of a collective perspective when introducing innovations in smaller communities. The focus on local values reframes ADR implementation from a purely commercial decision to a socio-technical challenge shaped by shared perceptions of safety, usefulness, and community benefit.

Authors

Institutions

Publication Details

Journal
Research in Transportation Economics
Published
2026-06-19
DOI
https://doi.org/10.1016/j.retrec.2026.101803
Primary Topic
Urban and Freight Transport Logistics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Understanding stakeholder preferences for autonomous delivery robots in small communities: A study from Veberöd, Sweden

Philippe Lebeau, Jon Williamsson, Valeska Engesser
Research in Transportation Economics
Urban and Freight Transport Logistics
article

Understanding stakeholder preferences for autonomous delivery robots in small communities: A study from Veberöd, Sweden

Philippe Lebeau, Jon Williamsson, Valeska Engesser
article en

Abstract

Autonomous Delivery Robots (ADR) are increasingly presented as a way to address persistent last-mile logistics challenges. Existing research, however, often examines ADR adoption from the perspective of single stakeholder groups, overlooking how these viewpoints interact. Considering these perspectives together is crucial for developing shared understanding and solutions that different actors can support. This study contributes to ADR research by examining the perceptions of multiple stakeholder groups and identifying factors that shape a functional and socially accepted future delivery system. In connection with a live ADR test in the village of Veberöd, Sweden, we conducted a scenario-based multi-actor–multi-criteria analysis (MAMCA). Stakeholders expressed preferences for autonomous delivery options capable of handling high shipment volumes and diverse goods. Beyond operational capacity, they emphasised context-specific value, including support for the local economy, strengthened social ties, and reduced environmental impacts. These preferences underscore the importance of a collective perspective when introducing innovations in smaller communities. The focus on local values reframes ADR implementation from a purely commercial decision to a socio-technical challenge shaped by shared perceptions of safety, usefulness, and community benefit.

Research in Transportation EconomicsVol. 118
Vrije Universiteit Brussel (BE), University of Gothenburg (SE)
VINNOVA
Openalex Percentile: Top 10%
Urban and Freight Transport Logistics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.