Quantifying urban attractiveness from the distribution and density of digital footprints

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Girardin F, Vaccari A, Gerber A, Biderman A, Ratti C. Quantifying urban attractiveness from the distribution and density of digital footprints. International Journal of Spatial Data Infrastructures Research. 2009; 4: 175-200. DOI 10.2902/1725-0463.2009.04.art10
http://hdl.handle.net/10230/16199
To cite or link this document: http://hdl.handle.net/10230/16199
dc.contributor.author Girardin, Fabien
dc.contributor.author Vaccari, Andrea
dc.contributor.author Gerber, Alexander
dc.contributor.author Biderman, Assaf
dc.contributor.author Ratti, Carlo
dc.contributor.other Universitat Pompeu Fabra
dc.date.accessioned 2012-02-09T09:46:25Z
dc.date.available 2012-02-09T09:46:25Z
dc.date.issued 2009
dc.identifier.citation Girardin F, Vaccari A, Gerber A, Biderman A, Ratti C. Quantifying urban attractiveness from the distribution and density of digital footprints. International Journal of Spatial Data Infrastructures Research. 2009; 4: 175-200. DOI 10.2902/1725-0463.2009.04.art10
dc.identifier.issn 1725-0463
dc.identifier.uri http://hdl.handle.net/10230/16199
dc.description.abstract In the past, sensors networks in cities have been limited to fixed sensors, embedded in particular locations, under centralised control. Today, new applications can leverage wireless devices and use them as sensors to create aggregated information. In this paper, we show that the emerging patterns unveiled through the analysis of large sets of aggregated digital footprints can provide novel insights into how people experience the city and into some of the drivers behind these emerging patterns. We particularly explore the capacity to quantify the evolution of the attractiveness of urban space with a case study of in the area of the New York City Waterfalls, a public art project of four man-made waterfalls rising from the New York Harbor. Methods to study the impact of an event of this nature are traditionally based on the collection of static information such as surveys and ticket-based people counts, which allow to generate estimates about visitors’ presence in specific areas over time. In contrast, our contribution makes use of the dynamic data that visitors generate, such as the density and distribution of aggregate phone calls and photos taken in different areas of interest and over time. Our analysis provides novel ways to quantify the impact of a public event on the distribution of visitors and on the evolution of the attractiveness of the points of interest in proximity. This information has potential uses for local authorities, researchers, as well as service providers such as mobile network operators.
dc.language.iso eng
dc.publisher Joint Research Centre of the European Commission
dc.rights This work is licensed under the Creative Commons Attribution-Non-commercial Works 3.0
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subject.other Sistema de posicionament global -- Estudi de casos
dc.subject.other Turisme -- Nova York (Estats Units d'Amèrica) -- Estudi de casos
dc.subject.other Comunicacions mòbils, Sistemes de -- Estudi de casos
dc.title Quantifying urban attractiveness from the distribution and density of digital footprints
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.2902/1725-0463.2009.04.art10
dc.subject.keyword Digital earth
dc.subject.keyword Urban studies
dc.subject.keyword Urban indicators
dc.subject.keyword Reality mining
dc.subject.keyword Digital footprints
dc.subject.keyword Pervasive data mining
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion


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