Visible to the public ABMUS 2016Conflict Detection Enabled

The 1st Workshop on Agent Based Modelling of Urban Systems (ABMUS 2016)

in conjunction with the AAMAS2016

Singapore on the 9th or 10th May 2016 |

Modern cities have become complex self-organising socio-technical systems. As such, their future is unpredictable beyond broad demographic and land use trends. This uncertainty creates a serious challenge for traditional urban planning as social, economic and land use dynamics dynamically interact at a pace never experienced before. Changes in household configurations, individual attributes, and community structures have strong in influences on the quality and types of services governments are required to provide. Thus, planners are under increasing pressure to develop robust policies that govern which area receives what services and why. In this context, it is essential for analytical tools and models to embrace this complexity for their outputs to be useful to urban planners, managers and residents.

Amongst other innovative tools, spatial micro-simulation and agent-based modelling (ABM) techniques can be used to simulate the actions and interactions of autonomous agents with a view to assessing their effects on the system as a whole. The advantage of such techniques is to allow for the modelling of socio-demographic heterogeneity and the dynamic feedback between urban planning and social responses.

Multi-agent-based models have long provided the technological flexibility for such a paradigm shift but it is fair to recognize that, too often, scalability or statistical validity issues have limited their usefulness in large urban contexts. Hence, there is a need to develop robust geo-statistical methods to create, localize and evolve large synthetic populations for urban systems. The challenge is to move from system-based approaches to individual activity based ones while preserving the statistical significance of demographic distributions and activity patterns in space and time.

This workshop aims to bring together researchers interested in building large scale agent based urban simulations to discuss issues, techniques and approaches relevant to this effort.

We are especially interested in innovative and robust geo-statistical methods for multi-agent-based models.

Workshop topics include but are not limited to:

  • Localized population synthesis
  • Multiple sample-based geo-statistical calibrations
  • Social simulation of demographic transitions
  • Spatial micro-simulation modelling
  • Use of mobile technology to validate activity patterns
  • Agent-based modelling of urban transport, land-use, housing or energy demand
  • Techniques for integrating independently developed components
  • Large scale urban simulation applications
  • Agent based platforms for urban simulation

Organizing Committee

  • Prof. Pascal Perez - University of Wollongong, Australia
  • Prof. Lin Padgham - RMIT, Australia
  • Prof. Kai Nagel - TU Berlin: Technische UniversitA$?t Berlin, Germany
  • Prof. Ana L. C. Bazzan - Universidade Federal do Rio Grande do Sul, Brazil
  • Mohammad-Reza Namazi-Rad - University of Wollongong, Australia

Program Committee

  • Prof. Eric J. Miller - University of Toronto, Canada
  • Prof. Michael Batty - University College London, UK
  • Prof. Kay W. Axhausen - ETH Zurich, Switzerland
  • Prof. Jorg P. Muller - TU Clausthal, Germany
  • Prof. Eric Cornelis - Universite de Namur, Belgium
  • Prof. Arnaud Banos - CNRS, France
  • Prof. Amal Kumarage - University of Moratuwa, Sri Lanka
  • Prof. Christopher J. Pettit - University of New South Wales, Australia
  • Prof. Robert Tanton - University of Canberra, Australia
  • A/Prof. Stephane Galland - Universite de Technologie de Belfort-Montbeliard, France
  • Dr. Dhirendra Singh - RMIT University, Australia
  • Dr. Bilal Farooq - Ecole Polytechnique de Montreal, Canada
  • Dr. Taha H. Rashidi - University of New South Wales, Australia
  • Dr. Vadim Sokolov - Argonne National Laboratory, USA
Event Details