Institutions | About Us | Help | Gaeilge
rian logo


Mark
Go Back
Modelling impact of morphological urban structure and cognitive behaviour on pedestrian flows.
Bezbradica, Marija; Ruskin, Heather J.
A novel, discrete space-time model of pedestrian behaviour in real urban networks is presented. An agent-based approach is used to define characteristics of individual pedestrians, based on spatial awareness and cognition theories, combined with preferential choices of different social groups. Behaviour patterns are considered incorporating rules of movement along pedestrian routes and for intermediate decision and conflict points. The model utilises dynamic volunteered geographic information system data allowing analysis of arbitrary city networks and comparison of the effect of grid structure and amenity distribution. As an example, two distinctive social groups are considered, namely 'directed' and 'leisure', and their interaction, together with the way in which flow congestion and changes in network morphology affect route choice in central London areas. The resulting stress and flow characteristics of the urban network simulations as well as the impact on individual agent paths and travel times, are discussed. © 2014 Springer International Publishing.
Keyword(s): GIS; agent-based modelling; urban spatial-temporal modelling; pedestrian behaviour; geovisualisation
Publication Date:
2014
Type: Other
Peer-Reviewed: Unknown
Language(s): English
Institution: Dublin City University
Citation(s): Bezbradica, Marija ORCID: 0000-0001-9366-5113 <https://orcid.org/0000-0001-9366-5113> and Ruskin, Heather J. ORCID: 0000-0001-7101-2242 <https://orcid.org/0000-0001-7101-2242> (2014) Modelling impact of morphological urban structure and cognitive behaviour on pedestrian flows. In: International Conference on Computational Science and Its Applications, 30 Jun-3 Jul 2014, Guimaraes, Portugal.
Publisher(s): Springer International Publishing
File Format(s): application/pdf
Related Link(s): http://doras.dcu.ie/21691/1/Modelling.pdf
First Indexed: 2017-01-31 06:19:45 Last Updated: 2019-02-09 06:12:04