Systematization of autonomous vehicles in last mile transportation processes – taxonomy development and clustering of existing concepts

With the increasing challenges in last mile logistics, a variety of promising approaches of autonomous delivery concepts have been emerging in recent years. Due to the fast pace of advancements, several approaches have been developed, the characterization of them often by purpose rather than systematically. This study builds upon a multi-stage research process that includes a systematic literature review and structured taxonomy building process, as well as a hierarchical cluster analysis of 45 existing autonomous delivery concepts. Based on that, two main results were achieved. First, a holistic taxonomy with 13 categories - including technological, process-related and customer acceptance characteristics - was developed to achieve characterizing of autonomous delivery concepts in a standardized way. The second result centered on the taxonomy, where four clusters could be identified through the hierarchical cluster analysis. With the developed clusters it is possible to better categorize and compare individual autonomous delivery concepts.

• Record URL:
  • https://doi.org/10.1080/13675567.2023.2237454
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13675567
• Supplemental Notes:
  • © 2023 Informa UK Limited, trading as Taylor & Francis Group. Abstract reprinted with permission of Taylor & Francis.
• Authors:
  • Maas, Julian
  • Nitsche, Benjamin
  • Straube, Frank
• Publication Date: 2024-11

Language

• English

Media Info

• Media Type: Web
• Pagination: pp 2104-2126
• Serial:
  • International Journal of Logistics Research and Applications
  • Volume: 27
  • Issue Number: 11
  • Publisher: Taylor & Francis
  • ISSN: 1367-5567
  • EISSN: 1469-848X
  • Serial URL: http://www.tandfonline.com/toc/cjol20/current

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Delivery service; First mile and last mile; Logistics
• Subject Areas: Freight Transportation; Planning and Forecasting;

Filing Info

• Accession Number: 01936739
• Record Type: Publication
• Files: TRIS
• Created Date: Nov 13 2024 5:18PM