An agent-based model to explore urban policies, pedestrian behaviour and walkability
by Georgios Tsaples; Giovanna Fancello
International Journal of Decision Support Systems (IJDSS), Vol. 3, No. 1/2, 2018

Abstract: The purpose of this paper is to use the agent-based methodology both as a research tool to study pedestrian behaviour and as a decision support system for urban authorities aimed to improve walkability. The developed model represents an urban environment with its citizens/agents performing movements under different means of transport and towards different destinations. Different scenarios, demonstrated that by improving the conditions of the urban environment people walk more and a bigger part of the environment is considered as 'favourite for walking'. Moreover, the conduciveness to walk affects the daily peoples' behaviour, and acts also as a positive influence to economic activity.

Online publication date: Fri, 24-Aug-2018

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