Behavioural urban freight modelling: exploring effects of policies on an urban freight distribution system

This paper presents a framework to gain insight into the behavioural underpinnings that affect decision making in the freight sector. The objective of this research is to investigate the interaction of key actors in the inland import/export container market in Brisbane. This study addresses several decisions made in the freight distribution system including optimising the shipment rate, using distribution/consolidation centre, mode/vehicle and route choices. In this framework the supply chain is modelled using an agent-based approach, in which the decisions of the key actors are captured in an integrated, disaggregate, and distributed system. The agents include shippers, distribution/consolidation agents, rail carriers, road carriers, and customers. The proposed framework incorporates five major decisions in the supply chain. In the first model, shippers and customers negotiate on the size and frequency of shipments based on minimizing total logistics cost. In the second model, shippers’ decisions on bundling several shipments are captured, in light of carriers’ prices and services as well as shippers’ storage costs if a shipment is not sent immediately. In the third model, a shipper’s choice to use a distribution or consolidation centre can be modelled, in light of shipment bundling, handling costs, and economies that may be realised from carriers, for given commodities and within given time slots. This interacts with the fourth model, capturing the competition between road and rail carriers in the shipper’s choice of transport mode. Finally, road carriers then face the decision of the routes for commercial vehicles that meet these time slots (‘time-windows’) for each commodity.

Language

  • English

Media Info

  • Pagination: 15p
  • Monograph Title: 38th Australasian Transport Research Forum (ATRF 2016), Melbourne, 16th - 18th November 2016

Subject/Index Terms

Filing Info

  • Accession Number: 01627482
  • Record Type: Publication
  • Source Agency: ARRB
  • Files: ITRD, ATRI
  • Created Date: Feb 27 2017 10:14AM