Estimating Individual Behaviour from Massive Social Data for an Urban Agent-Based Model

Malleson, Nick and Birkin, Mark (2012) Estimating Individual Behaviour from Massive Social Data for an Urban Agent-Based Model. In: 8th Conference of the European Social Simulation Association (ESSA) 2012, 10-14 September 2012, Salzburg. (Submitted)

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Abstract

This paper presents the most recent developments in an on-going programme of work towards a realistic agent-based model of urban dynamics. The focus of the paper is on the development of a framework for calibrating an agent-based model of urban dynamics using novel data from the Twitter social media service. In particular, we discuss initial attempts to elucidate information about peoples' daily spatio-temporal behaviour and how such insight can be used for the benefit of agent-based models. The ultimate aim of the modelling work is to better understand the spatio- temporal movement patterns within the city.

Item Type:Conference or Workshop Item (Paper)
Subjects:5. Quantitative Data Handling and Data Analysis > 5.9 Spatial Data Analysis
5. Quantitative Data Handling and Data Analysis > 5.13 Simulation
5. Quantitative Data Handling and Data Analysis > 5.17 Quantitative Approaches (other)
ID Code:2914
Deposited By: TALIS User
Deposited On:04 Oct 2012 13:52
Last Modified:04 Oct 2012 13:52

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