Agent-based Modelling for Green Space Allocation in Urban Areas - Factors Influencing Agent Behaviour

Marta Vallejo, Verena Rieser, David W. Corne

2015

Abstract

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, policy makers 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.

Paper Citation

in Harvard Style

Vallejo M., Rieser V. and Corne D. (2015). Agent-based Modelling for Green Space Allocation in Urban Areas - Factors Influencing Agent Behaviour . In Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-073-4, pages 257-262. DOI: 10.5220/0005284602570262

in Bibtex Style

@conference{icaart15,
author={Marta Vallejo and Verena Rieser and David W. Corne},
title={Agent-based Modelling for Green Space Allocation in Urban Areas - Factors Influencing Agent Behaviour},
booktitle={Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2015},
pages={257-262},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005284602570262},
isbn={978-989-758-073-4},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Agent-based Modelling for Green Space Allocation in Urban Areas - Factors Influencing Agent Behaviour
SN - 978-989-758-073-4
AU - Vallejo M.
AU - Rieser V.
AU - Corne D.
PY - 2015
SP - 257
EP - 262
DO - 10.5220/0005284602570262