Holiday Destination Choice in a Continuous Activity-Based Microsimulation

Analysis of long-distance travel demand has become more relevant in recent times. The reason is the growing share of traffic induced by journeys related to remote activities, which are not part of daily life. In today’s mobile world, these journeys are responsible for almost 50 percent of the overall traffic. Consequently, there is a need of reliable long-distance travel forecast tools. A potential tool is an agent-based simulation. Due to the complex task of destination choice modelling, there are just few agent-based simulations available. This paper presents a continuous target-based simulation that simulates long-distance travel behavior for a long period of time. It is shown how destination choice is modelled in this agent-based simulation. The authors focus on the holiday destination choice, because it dominates the long-distances trips for the average traveler. The presented approach uses a heuristic to reduce the solution space. Afterwards, the optimal activity duration and activity location is computed simultaneously. This technique ensures a fast computation.

• Supplemental Notes:
  • This paper was sponsored by TRB committee ADB10 Standing Committee on Traveler Behavior and Values.
• Corporate Authors:

  Transportation Research Board

  500 Fifth Street, NW
  Washington, DC  United States  20001
• Authors:
  • Janzen, Maxim
  • Axhausen, Kay W
• Conference:
  • Transportation Research Board 96th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2017-1-8 to 2017-1-12
• Date: 2017

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 17p
• Monograph Title: TRB 96th Annual Meeting Compendium of Papers

Subject/Index Terms

• TRT Terms: Choice models; Mathematical models; Origin and destination; Recreational trips; Traffic forecasting; Travel behavior; Travel demand; Trip length
• Subject Areas: Highways; Planning and Forecasting; Safety and Human Factors;

Filing Info

• Accession Number: 01632427
• Record Type: Publication
• Report/Paper Numbers: 17-04166
• Files: TRIS, TRB, ATRI
• Created Date: Apr 19 2017 3:39PM