Abstract
This paper presents a novel web-based platform that supports the analysis, integration, and visualization of large-scale and heterogeneous urban data, with application to city planning and decision-making. Motivated by the non-scalable character of conventional urban analytics methods, as well as by the interoperability challenges present in contemporary data silos, the illustrated system – coined SocialGlass – leverages the combined potential of diverse urban data sources. These include sensor and social media streams (Twitter, Instagram, Foursquare), publicly available municipal records, and resources from knowledge repositories. Through data science, semantic integration, and crowdsourcing techniques the platform enables the mapping of demographic information, human movement patterns, place popularity, traffic conditions, as well as citizens’ and visitors’ opinions and preferences about specific venues in a city. The paper further demonstrates an implemented prototype of the platform and its deployment in real-world use cases for monitoring, analyzing, and assessing city-scale events.
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Notes
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A live instance of which is available at the following link: http://social-glass.org with demonstrations for each use case mentioned in Sect. 5.
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Respectively, http://www.crowdflower.com and https://www.mturk.com/.
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A running instance of OSMoSys is available at: http://www.hyperbody.nl/demo/osmosys.
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Acknowledgements
This research is funded by the Greek State Scholarships Foundation I.K.Y. (by the resources of the Educational Program “Education and Lifelong Learning”, the European Social Fund (ESF), and the EU National Strategic Reference Framework (NSRF) of 2007–2013). It is further funded by a scholarship of the Alexander S. Onassis Foundation. It is also financially supported by the Foundation for Education and European Culture (IPEP) and the A. G. Leventis Foundation.
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Psyllidis, A., Bozzon, A., Bocconi, S., Titos Bolivar, C. (2015). A Platform for Urban Analytics and Semantic Data Integration in City Planning. In: Celani, G., Sperling, D., Franco, J. (eds) Computer-Aided Architectural Design Futures. The Next City - New Technologies and the Future of the Built Environment. CAAD Futures 2015. Communications in Computer and Information Science, vol 527. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47386-3_2
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