Agent-based modelling for green space allocation in urban areas: Factors influencing agent behaviour

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)


The task of green space allocation in urban areas consists of identifying a suitable site for allocating green areas. In this proposition paper we discuss about a number of factors like crowdedness, design, distribution and size that could discourage inhabitants to visit a certain green urban area. We plan to cluster our urban residents into several population segments using an Agent-Based Model and study the system in different predefined scenarios. The overall objective of this work is to provide spatial guidance to planners, policymakers and other stakeholders, and shed light on potential policy conflicts among standard policy criteria and user preferences. We will evaluate this potential within a targeted stakeholder workshop.

Original languageEnglish
Title of host publicationICAART 2015 - 7th International Conference on Agents and Artificial Intelligence, Proceedings
Number of pages6
ISBN (Print)9789897580734
Publication statusPublished - 2015
Event7th International Conference on Agents and Artificial Intelligence - Lisbon, Portugal
Duration: 10 Jan 201512 Jan 2015


Conference7th International Conference on Agents and Artificial Intelligence
Abbreviated titleICAART 2015


  • Agent-based Systems
  • Cellular Automata
  • Green Space Allocation
  • Location-Allocation Problem
  • Multicriteria Analysis
  • Spatial Optimisation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software

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