Effects of Cognitive Biases and Their Fuzzy Measure During Freight Transportation

Cognitive biases affect all aspects of our lives, including the decision-making process related to the routing of freight transport. In the process of using human-machine systems, people upload rational and objective algorithms in order to obtain the best possible results in the route planning process. Nevertheless, during the route choice process, human reasoning, based on experience and assumptions, overrides the choice of the machine, that is, cognitive biases appear in the decision-making processes. For this reason, the authors investigate how an objective system of interests becomes a cognitive bias during the process of making decisions related to the route choice of freight transport by motor vehicle. Furthermore, the authors present a methodology to estimate fuzzy measures of route-related deviations concerning time and distance, which may be indicative of the emergence of cognitive biases.

• Record URL:
  • https://doi.org/10.1007/978-3-031-28236-2
• Record URL:
  • https://link.springer.com/chapter/10.1007/978-3-031-28236-2_3
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9783031281969
• Supplemental Notes:
  • © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.
• Corporate Authors:

  Springer International Publishing

  Cham,   Switzerland 
• Authors:
  • Sós, Eszter
  • Horváth, Adrián
  • Földesi, Péter
• Conference:
  • 6th Interdisciplinary Conference on Production, Logistics and Traffic (ICPLT 2023)
  • Location: Dortmund , Germany
  • Date: 2023-3-21 to 2023-3-22
• Publication Date: 2023-3

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 29-43
• Monograph Title: Advances in Resilient and Sustainable Transport: Proceedings of the 6th Interdisciplinary Conference on Production, Logistics and Traffic 2023

Subject/Index Terms

• TRT Terms: Bias; Decision making; Freight transportation; Human machine systems; Route choice; Trajectory control
• Subject Areas: Data and Information Technology; Freight Transportation; Planning and Forecasting;

Filing Info

• Accession Number: 01939937
• Record Type: Publication
• ISBN: 9783031281969
• Files: TRIS
• Created Date: Dec 16 2024 11:59AM