Agent-Based Decision-support Model for Bus Route Redesign in Networks of Small Cities and Towns: Case study of Agder, Norway

Sinziana Rasca, Bin Hu, Benjamin Biesinger, Matthias Prandtstetter

Research output: Contribution to journalArticlepeer-review

Abstract

This study aims to demonstrate the usefulness of employing an agent-based simulation tool in the decision process for redesigning an express service regional bus route connecting a network of small cities and towns. The model was initially developed as a Mobility as a Service simulation solution for suburban areas of European metropolises. The model is adapted and applied to a case study for the region of Agder, Norway, simulating the impact of nine different scenarios on the patronage of a specific bus route.
The simulation model proposes to upgrade the classic agent structure to a persona profile designed specifically for the case study. The results suggest that the proposed model can be successfully adapted from suburban metropolitan areas to the realities of the considered case study, and potentially other similar regions.
Original languageEnglish
Pages (from-to)1-36
Number of pages36
JournalPublic Transport
DOIs
Publication statusPublished - 3 Jun 2024

Research Field

  • Transport Optimisation and Energy Logistics

Keywords

  • public transport
  • simulation
  • optimization
  • Agent-based simulation
  • Decision support system
  • Persona
  • Small cities and towns
  • Public transport

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