Abstract
Newer approaches for modelling travel behaviour require a new approach to integrated spatial economic modelling. Travel behaviour modelling is increasingly disaggregate, econometric, dynamic, and behavioural. A fully dynamic approach to urban system modelling is described, where interactions are characterized as two agents interacting through discrete events labelled as “offer” or “accept”. This leads to a natural partition of an integrated urban model into submodels based on the category of what is being exchanged, the type of agent, and the time and place of interaction.
Where prices (or price-like signals such as congested travel times) exist to stimulate supply and/or to suppress demand, the dynamic change in prices can be represented either behaviourally, as individual agents adjust their expectations in response to their personal history and the history of the modelled region, or with an “auctioneer” from micro-economic theory, who adjusts average prices. When no auctioneers are used, the modelling system can use completely continuous representations of both time and space.
Two examples are shown. The first is a demonstration of a continuous-time continuous-space transaction simulation with simple agents representing businesses and households. The second shows how an existing model—the Oregon TLUMIP project for statewide land-use and transport modelling—can be adapted into the paradigm.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Abraham, J.E. and J.D. Hunt. (2001). “Dynamic Microsimulation of Heterogeneous Spatial Markets.” Presented at the Workshop on Economics with Heterogeneous Interacting Agents, University of Maastricht, The Netherlands, June 7–9, 2001.
Abraham, J.E. and J.D. Hunt. (2002). “Spatial Market Representations: Concepts and Application to Integrated Planning Models.” Presented at the 49th Annual North American Meetings of the Regional Science Association International in San Juan, Puerto Rico, November 14–16, 2002.
Hunt, J.D., R. Donnelly, J.E. Abraham, C. Batten, J. Freedman, J. Hicks, P.J. Costinett, and W.J. Upton. (2001). “Design of a Statewide Land Use Transport Interaction Model for Oregon.” World Conference on Transportation Research, Seoul, South Korea.
Hunt, J.D and J.E. Abraham. (2003). “Design and Application of the PECAS Land Use Modelling System.” In Proceedings of the 8th International Conference on Computers in Urban Planning and Urban Management (CUPUM), Sendai, Japan.
Katzner, D.W. (1988). Walrasian Microeconomics. Reading, MA: Addison-Wesley.
Lin, Y. and P.A. Fishwick. (1996). “Asynchronous Parallel Discrete Event Simulation.” IEEE Transactions on Systems, Man and Cybernetics 26(4), 397–412.
Tesfatsion, L. (2002). “Agent-Based Computational Economics.” Iowa State University Economics Working Paper No. 1, Revised July 2002, accessed at http://www.econ.iastate.edu/tesfatsi/acewp1.pdf on Dec. 19, 2002.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Abraham, J.E., Hunt, J.D. Dynamic Submodel Integration Using an Offer-Accept Discrete Event Simulation. Netw Spat Econ 5, 129–146 (2005). https://doi.org/10.1007/s11067-005-2626-1
Issue Date:
DOI: https://doi.org/10.1007/s11067-005-2626-1