Generating Individual Behavioural Routines from Massive Social Data for the Simulation of Urban Dynamics
نویسنده
چکیده
This paper presents recent methodological developments aimed at establishing the daily spatiotemporal behaviour of individual people from their activity on social-networking services. Ultimately, the methods will be used to provide supplementary data to a complex agent-based model of urban dynamics. This work will review recent developments in the use of crowd-source data for understanding society, outline novel methods for capturing the spatio-temporal behaviour of individual users and discuss how the this information can be incorporated into a model of urban dynamics. Finally, we conclude with a discussion about current challenges and future research. Please cite as: Malleson, N. and M. Birkin (2014) Generating Individual Behavioural Routines from Massive Social Data for the Simulation of Urban Dynamics. Proceedings of the European Conference on Complex Systems 2012. Springer Proceedings in Complexity 2014, pp 849-855
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