An Agent-based Micro-simulation Framework for Modelling of Dynamic Activity-travel Rescheduling Decisions

This article presents the simultaneous implementation of daily activity-travel schedules of individuals in a given spatial environment. The article generally gives rise to time- and location-varying congestion levels, which affect the conditions for subsequent activity and travel choices. Current activity-based models typically ignore the adaptive behavior of individuals even though the dynamics are commonly recognized. This article proposes an agent-based simulation system that allows one to simulate, in addition to activity-scheduling behavior the execution of schedules in space and time. Congestion levels at specific times and places emerge in the system and may lead to discrepancies between scheduled and actual activity and travel times. The article discusses how agents respond to such unforeseen events by reconsidering an existing schedule (within-day re-planning) and by adapting their expectations about traffic conditions for subsequent days (learning). The system illustrates the activity-travel diary data collected in the Eindhoven region of the Netherlands in order to better understand the choice of urban parks in the study area. The merits of the system for transport and spatial planning that identify avenues for future research are also discussed in the article.

• Record URL:
  https://doi.org/10.1080/13658810903317022
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13658816
• Authors:
  • Arentze, Theo
  • Pelizaro, Claudia
  • Timmermans, Harry
• Publication Date: 2010-8

Language

• English

Media Info

• Media Type: Digital/other
• Features: References;
• Pagination: pp 1149-1170
• Serial:
  • International Journal of Geographical Information Science
  • Volume: 24
  • Issue Number: 8
  • Publisher: Taylor & Francis
  • ISSN: 1365-8816
  • EISSN: 1362-3087
  • Serial URL: https://www.tandfonline.com/toc/tgis20/current

Subject/Index Terms

• TRT Terms: Activity choices; Data collection; Microsimulation; Schedules and scheduling; Traffic congestion; Travel diaries; Travel time
• Uncontrolled Terms: Activity based modeling
• Geographic Terms: Eindhoven (Netherlands)
• Subject Areas: Highways; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01487618
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 18 2013 1:59PM