An agent-based model to explore urban policies, pedestrian behaviour and walkability. (2018)

• Record Type: Journal Article
• Authors: Tsaples, Georgios; Fancello, Giovanna
• Is Part Of: International journal of decision support systems. Volume 3:Number 1/2(2017)
• Page Start: 4
• Page End: 18
• Publication Date: 2018
• Subjects: agent-based model -- pedestrian behaviour -- walkability -- urban environment -- decision support system -- DSS; Decision making -- Data processing -- Periodicals; 658.40302856312
• Languages: English
• ISSNs: 2050-6988

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.