Abstract
We present an agent-based model to simulate the citizens mobility in a urban space. The request of mobility is determined by the “chronotopic areas”: i.e. urban areas where time-dependent activities are installed and attract the citizens according to their social categories. The core of the model is a decision mechanism for the agents based on a daily program, which chooses the transportation means and the roads to reach the scheduled chronotopic areas. The decision mechanism depends on some social characters of the agents, on the information at disposal, on the attraction force towards a chronotopos and on some random choices. The daily program can also be upgraded according to the information given to the agents. The finite volume congestion effects are present in the private transportation and in the finite capacity of the public means whereas the crowding in the chronotopic areas causes the extension of the elapsed time in the areas. We present a simulation on the campus of Milano Bicocca University where we take advantage of some experimental observations on the students mobility.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Batty M (1971) Modeling cities as dynamics systems. Nature 231: 425–428
Batty M, DeSyllas J, Duxbury E (2002) The discrete dynamics of small scales spatial events: agent based models of mobility in carnivals and street parades.. http://www.casa.ac.uk/working_papers/paper56.pdf
Batty M (2003) Agent-Based Pedestrian Modeling. In Longley PA, Batty M (eds) Advanced Spatial Analysis. ESRI Press, Redlands, CA
Batty M (2005) Cities and Complexity: Understanding Cities with Cellular Automata, Agent-Based Models, and Fractals. MIT press, Cambridge, MA
Bazzani A, Giorgini B, Servizi G, Turchetti G (2003a) A Chronotopic Model of Mobility in Urban Spaces. Physica A 325: 517–530
Bazzani A, Capriotti M, Giorgini B, Melchiorre G, Servizi G, Turchetti G, Luccardi S, Zaoli M (2003b) Un modello per la mobilita’ asistematica nel Centro Storico di Rimini. Trasporti & Territorio 16: 141–149
Bazzani A, Giorgini B (2006) The physics of the City: Modeling Complex Mobility. In Urban civilization: from yesterday to the next day. Proceedings of the workshop Urban Science Forward Look, Milano 24 September 2004, to be published
Bierlaire M, Antonini G, Weber M (2003) Behavioral dynamics for pedestrians. 10th International conference on Travel Behavior reserach, Lucerne 10–15 August 2003
Boffi M, d’Ovidio M, Natoli E, Tornaghi C (2003) Slow Mobility as and Indicator of Social Urban Spaces-An Application on GPS in the Milano-Bicocca Area. In Gould M et al. (eds.) AGILE 2003. Proceedings of the 6th Confrence on Geographic Infomation Science, PPUR, Lausanne
Bonfiglioli S (1997) Che cos’e’ un cronotopo. In: Bonfiglioli S, Mareggi M (eds) Il tempo e la citta’ fra natura e storia. Atlante di progetti sui tempi della città, Urbanistica Quaderni INU, no. 12, Roma, p 90
Ebeling W, Schweitzer F (2001) Active Motion in Systems with Energy Supply in Integrative Systems Approaches in Natural and Social Sciences. Springer, Berlin
Giorgini B (1997) Il tempo del caos. In: Bonfiglioli S, Mareggi M (eds) Il tempo e la citta’ fra natura e storia. Atlante di progetti sui tempi della città. Urbanistica Quaderni INU, no. 12, Roma, p 325
Helbing D (2001a) Traffic and related self-driven many-particle systems. Review of Modern Physics 73: 1067–1141
Helbing D (2001b) A mathematical model for the behavior of pedestrians. Behavioral Science 36: 298–310
Helbing D, Molnar P, Farkas I, Bolay K (2001) Self-Organizing pedestrian movement. Environment and Planning B 28: 361–383
Hoogendoorn SP, Bovy PHL, Daamen W. (2001) Microscopic pedestrian wayfinding and dynamics modeling. In: Schreckemberg M, Sharma SD (eds) Pedestrian and Evacuation Dynamics. Springer, Berlin, pp 123–154
Jiang B (1998) SimPed: Simulating Pedestrian Flows in a Virtual Urban Environment. Journal of Geographic Information and Decision Analysis 3:1: 21–30
Lee DB (1973) Requiem for large-scale models. Journal of the American Institute of Planners 39: 163–178
Lee DB (1994) Retrospective on large-scale urban models. Journal of the American Institute of Planning Association 60:1: 35–40
Martinotti G (ed) (1999) La dimensione metropolitana: sviluppo e governo della nuova città. Il Mulino, Bologna
Nuvolati G (2002) Le popolazioni in movimento e la citta’ in trasformazione. Il Mulino, Bologna
Parisi G, Muller SC, Zimmermann W (1998) A Perspective Look at Nonlinear Media-From Physics to Biology and Social Sciences. Springer, Berlin
Schreckenberg M, Schadschneider A, Nagel K, Ito N (1995) Discrete stochastic models for traffic flow. Physical Review E 51:4: 2939–2949
Schelhorn T, O’Sullivan D, Haklay M, Thurstain-Goodwin M (1999) STREET: an agent-based pedestrian model. Centre for Advanced Spatial Analysis, Paper 9
Schweitzer F (1997) Self-Organization of Complex Structures: From Individual to Collective Dynamics. Gordon and Breach, London, pp 19–24
Servizi G, Bazzani A, Giorgini B, Turchetti G (2001) Method for simulating mobility in an urban area. Patent n. 00830868.6-2215 (13-9-01)
Von Neumann J (1963) The general and logical theory of automata. Collected works vol. V, Pergamon Press, Oxford, pp 288–328
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Physica-Verlag Heidelberg and Accademia di Architettura, Mendrisio, Switzerland
About this chapter
Cite this chapter
Bazzani, A. et al. (2008). A Model for Asystematic Mobility in Urban Space. In: Albeverio, S., Andrey, D., Giordano, P., Vancheri, A. (eds) The Dynamics of Complex Urban Systems. Physica-Verlag HD. https://doi.org/10.1007/978-3-7908-1937-3_4
Download citation
DOI: https://doi.org/10.1007/978-3-7908-1937-3_4
Publisher Name: Physica-Verlag HD
Print ISBN: 978-3-7908-1936-6
Online ISBN: 978-3-7908-1937-3
eBook Packages: Business and EconomicsEconomics and Finance (R0)