Framework for Modelling Multi-stakeholder City Logistics Domain Using the Agent Based Modelling Approach

Efficiency of city logistics activities suffers due to conflicting personal preferences and distributed decision making by multiple city logistics stakeholders. This is exacerbated by interdependency of city logistics activities, decision making with limited information and stakeholders’ preference for personal objectives over system efficiency. Accordingly, the key to understanding the causes of inefficiency in the city logistics domain is understanding the interaction between heterogeneous stakeholders of the system. With the capabilities of representing a system in a natural and flexible way, agent based modelling (ABM) is a promising alternative for the city logistics domain. This research focuses on developing a framework for the successful implementation of the ABM approach for the city logistics domain. The framework includes various elements – a multi-perspective semantic data model (i.e. ontology) and its validation, the development of an agent base model using this ontology, and a validation approach for the agent-based model. Conclusively, the framework shows that a rigorous course can be taken to successfully implement agent based modelling approach for the city logistics domain.

• Record URL:
  • https://doi.org/10.1016/j.trpro.2016.11.002
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S2352146516306160
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/23521465
• Supplemental Notes:
  • © 2016 Nilesh Anand et al. Published by Elsevier B.V.
• Authors:
  • Anand, Nilesh
  • van Duin, J H R
  • Tavasszy, Lori
• Conference:
  • Second International Conference, “Green Cities 2016 – Green Logistics for Greener Cities”
  • Location: Szczecin , Poland
  • Date: 2016-3-2 to 2016-3-3
• Publication Date: 2016

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: pp 4-15
• Serial:
  • Transportation Research Procedia
  • Volume: 16
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 2352-1465
  • Serial URL: http://www.sciencedirect.com/science/journal/23521465/
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Decision making; Freight traffic; Logistics; Mathematical analysis; Stakeholders; Urban goods movement
• Uncontrolled Terms: Agent based scheduling
• Subject Areas: Economics; Freight Transportation; Highways;

Filing Info

• Accession Number: 01624468
• Record Type: Publication
• Files: TRIS
• Created Date: Jan 30 2017 10:45AM