A review of the use of geosocial media data in agent-based models for studying urban systems

Figures & data

Table 1. Geosocial media data usage in ABMs and urban systems

Application	Data Source	Use	Authors
Human Mobility	Flickr	Calibrate models of human mobility and interactions in urban space	Prager & Wiegand, 2014
Human Mobility	Aggregate Chinese social media check-ins	Verify model of human movement and activity in the city	Wu et al., 2014
Human Mobility	Twitter	Integrate sentiment and mobility to enhance models and analyses	Wang & Taylor, 2016
Human Mobility	Twitter	Improve accuracy of model to predict citywide human movement patterns	Goh, Koh, & Zhang, 2019
Population Health	Twitter	Surveillance and near real-time models of Dengue of cities	Gomide et al., 2011
Disaster/Emergency	Twitter	Fit models for social information diffusion with different diffusion patterns	Rand, Herrmann, Schein, and Vodopivec (2015)
Disaster/Emergency	Twitter	Enhance models of flood simulations to provide greater simulated detail	Smith, Liang, James, and Lin (2017)
Land Use/Sustainability	Twitter	Correlating demographic and socioeconomic factors to social media for enhanced modelling and analysis	Jiang, Li, and Ye (2019)
Land Use/Sustainability	Twitter, Tencent, Flickr, Sina Weibo, Foursquare, Baidu	Enhance urban planning and land monitoring models	Qi et al. (2019)

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Wang, Q., & Taylor, J. E. (2016). Patterns and limitations of urban human mobility resilience under the influence of multiple types of natural disaster. PLoS ONE, 11(1), 1–14.

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Goh, G., Koh, J. Y., & Zhang, Y. (2019). Twitter-informed crowd flow prediction. IEEE International Conference on Data Mining Workshops, ICDMW, 2018-November, 624–631. 10.1109/ICDMW.2018.00097

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Gomide, J., Veloso, A., Meira, W., Almeida, V., Benevenuto, F., Ferraz, F., & Teixeira, M. (2011). Dengue surveillance based on a computational model of spatio-temporal locality of Twitter. Proceedings of the 3rd International Web Science Conference (1–8). 10.1145/2527031.2527049

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Rand, W., Herrmann, J., Schein, B., & Vodopivec, N. (2015). An Agent-Based Model of Urgent Diffusion in Social Media. Journal of Artificial Societies & Social Simulation, 18(2), 1.

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Smith, L., Liang, Q., James, P., & Lin, W. (2017). Assessing the utility of social media as a data source for flood risk management using a real-time modelling framework. Journal of Flood Risk Management, 10(3), 370–380.

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Jiang, Y., Li, Z., & Ye, X. (2019). Understanding demographic and socioeconomic biases of geotagged Twitter users at the county level. Cartography and Geographic Information Science, 46(3), 228–242.

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Qi, L., Li, J., Wang, Y., & Gao, X. (2019). Urban Observation: Integration of Remote Sensing and Social Media Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 1–13. doi:10.1109/jstars.2019.2908515

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