Paper Info
Title
Multi-day activity scheduling reactions to planned activities and future events in a dynamic model of activity-travel behavior.
Abstract
Modeling multi-day planning has received scarce attention in activity-based transport demand modeling so far. However, new dynamic activity-based approaches are being developed at the current moment. The frequency and inflexibility of planned activities and events in activity schedules of individuals indicate the importance of incorporating those pre-planned activities in the new generation of dynamic travel demand models. Elaborating and combining previous work on event-driven activity generation, the aim of this paper is to develop and illustrate an extension of a need-based model of activity generation that takes into account possible influences of pre-planned activities and events. This paper describes the theory and shows the results of simulations of the extension. The simulation was conducted for six different activities, and the parameter values used were consistent with an earlier estimation study. The results show that the model works well and that the influences of the parameters are consistent, logical, and have clear interpretations. These findings offer further evidence of face and construct validity to the suggested modeling approach.
Year
DOI
Venue
2014
10.1007/s10109-013-0187-2
Journal of Geographical Systems
Keywords
Field
DocType
travel behavior,needs
Econometrics,Travel behavior,Demand modeling,Operations research,Activity scheduling,Schedule,Construct validity,Artificial intelligence,Geography
Journal
Volume
Issue
ISSN
16
1
1435-5949
Citations 
PageRank 
References 
3
0.47
1
Authors
3
Name
Order
Citations
PageRank
Linda Nijland130.47
Theo A. Arentze28713.60
Harry J. P. Timmermans313621.36