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Evaluating city logistics solutions with agent-based microsimulation

In: Handbook on City Logistics and Urban Freight

Author

Listed:
  • Takanori Sakai
  • Peiyu Jing
  • André Romano Alho
  • Ravi Seshadri
  • Moshe Ben-Akiva

Abstract

This chapter introduces the class of agent-based freight microsimulation model, which replicates the interactions among agents with different roles in multiple inter-connected layers. Although a simulator is data hungry and imposes a high computational burden, this class has great advantages in sensitivity and flexibility for evaluating various types of city logistics policies and solutions. The chapter provides the overview of SimMobility as an example of simulators which are equipped with a comprehensive agent-based microsimulation model for urban freight, and, using it, demonstrates an evaluation of congestion pricing policies in an Auto-Innovative prototype city. The chapter also discusses the existing limitations in the simulators and future research directions.

Suggested Citation

  • Takanori Sakai & Peiyu Jing & André Romano Alho & Ravi Seshadri & Moshe Ben-Akiva, 2023. "Evaluating city logistics solutions with agent-based microsimulation," Chapters, in: Edoardo Marcucci & Valerio Gatta & Michela Le Pira (ed.), Handbook on City Logistics and Urban Freight, chapter 5, pages 98-114, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:19924_5
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