Optimal toll charges for multi-class vehicles in City Logistics

Many expressway facilities around the world are built using public-private partnerships (PPP), which is a popular method to finance urban roads. Various toll charges are imposed over multiclass vehicles by road investors in association with the government to recover and produce a return on their investment. High toll charges on heavy vehicles can lead to heavy vehicles using alternate roads to reduce freight costs. The resulting increase in the use of substandard roads by heavy vehicles, which has led to higher environmental and social costs, i.e. the externalities. Presently, externalities are paid by the general public (indirectly) and this has become a major problem in many cities, including Melbourne. As a result of increasing externalities, there is a growing demand for road users to pay for these externalities, to stop cross subsidization of transport externalities. In this study, we propose an innovative approach to reduce the total cost, including economic, social and environmental costs, of goods movement within cities via charging optimal tolls for expressway facilities. This approach looks at the optimization of multi-objectives from multi-stakeholders under a bi-level modelling framework. Advanced version of Genetic Algorithm was used to find the optimal set of solutions, which shows the trade-offs between different objectives. The benefits of this approach are demonstrated using a hypothetical network with static demand conditions. Solutions with different economic, social and environmental cost combinations were obtained considering different stakeholders’ preferences. This study provides insights into how sensitive the toll price setting can be and how a win-win solution can be achieved.

Media Info

  • Pagination: 15p
  • Monograph Title: Australasian Transport Research Forum, 8-10 December 2021, Brisbane, Queensland

Subject/Index Terms

Filing Info

  • Accession Number: 01892428
  • Record Type: Publication
  • Source Agency: ARRB Group Limited
  • Files: ITRD, ATRI
  • Created Date: Sep 6 2023 2:05PM