Simulation of Land Use/Transportation Systems

Recommended Prerequisites

Not applicable.

Teaching Methods

Lectures combining theoretical explanations with exercise solving and with conceptual and real-case discussions.

Learning Outcomes

Provide students with a deep knowledge and with advanced R&D skills and competences on the subject of land-use/transport systems simulation.

Work Placement(s)

No

Syllabus

Classic (four-step) transport model. First land-use/transport model: the Lowry model.

Urban dynamics models. Definition of stocks and flows, identification of loops, and construction of causality diagrams. Development of an urban dynamics model with the AnyLogic software.

Cellular automata models. Cell structures, cell states, and state transition rules. Development of cellular automata model with the CelLab software. Examples of advanced models: SLEUTH and MOLAND.

Multi-agent models. Agent behavior, interaction environments and events. Development of a multi-agent model with the AnyLogic software. Examples of advanced models: ILUTE and UrbanSim.

Calibration of land-use/transport models.

Assessment Methods

Assessment
Home assignments and written final exam: 100.0%

Bibliography

Batty M, Cities and Complexity: Understanding Cities with Cellular Automata, Agent-Based Models, and Fractals, MIT Press, 2005
Bazzan A. Klugl F., Multi-Agent Systems for Traffic and Transportation Engineering, Information Science Reference, 2009
Benenson I, Torrens P, Geosimulation: Automata-based Modeling of Urban Phenomena, Wiley, 2004
De la Barra T, Integrated Land Use and Transport Modelling: Decision Chains and Hierarchies, Cambridge UP, 2008
Wegener M, “Overview of land-use transport models”. In Henscher DA, Button K (Eds.) Transport Geography and Spatial Systems, Pergamon, 2005