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Spatial Footprints of Context-Aware Digital Services. Eventual Self-regulated Alignments of Dating Apps with the Urban Shape

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Smart and Sustainable Planning for Cities and Regions (SSPCR 2017)

Abstract

Since the ‘smartphone’ outbreak in 2007, the unprecedented growth of context-aware services—so called ‘hyperlocal’ or Location-Based Services (LBS)—on top of the preexisting urban systems are transforming the way that citizens communicate. As a consequence, new self-regulated cellular digital networks are emerging. Their collective use is transforming the mobility patterns and uses of the urban public and private spaces without subsuming or replacing them. The characteristics and implications for the planning of this new “digitally integrated urban space” (Ratti and Claudel in The City of Tomorrow: Sensors, Networks, Hackers, and the Future of Urban Life. Yale University Press, 2016) have to be addressed. This paper focuses on the behavioral/eventual changes at the hybrid digital and physical space. The goal is to analyze how the shape and structure of a LBS changes given an external disruption and how does it adapt to new scenarios, proving both the existence and resiliency of the digital urban space. The method applies Python scripting and GIS techniques to represent live and anonymized data from popular dating services during the Madrid Gay Pride week, including the days before the Parade to establish comparisons between the usual and the occasional scenarios. This comparison enables us to extract conclusions about how the spatial shape of the services can change; which physical limits are dissolved by the digital network’s topology; and how stabile the network behaves comparing the usual mobility patterns of its users with the occasional ones.

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Notes

  1. 1.

    API: Application Programming Interface. “In general terms, it is a set of clearly defined methods of communication between various software components.” In web-application programming, they define the procedures of a client to query the server’s data.

  2. 2.

    “Since the debut of Service Oriented Architecture in the year 2000, services computing has transitioned from an enterprise interoperation technology to shape the Web API economy […] According to ProgrammableWeb.com API enjoyed a compounded annual growth rate of 100% from 2005 to 2011, in terms of the total number of APIs registered”. Up to this writing, 17,267 Web API’s have been registered.

  3. 3.

    The locations’ precision varies up to 25 m to guarantee the user’s privacy.

  4. 4.

    Adapted from the digital platform definition: A platform is a complex system that allows the implementation of various services under a common environment, giving the users access to them.

  5. 5.

    The mark stands for “paseo”—promenade—and “avenida”—avenue.

  6. 6.

    Animated map available on YouTube. Link: https://youtu.be/NJlVgcwh_6U

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Correspondence to Iñigo Lorente-Riverola .

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Appendices

Appendix 1: User Density (Users/HA) Aggregated by Public-Space Entity

Appendix 2: User Count Aggregated by Hex Bins

Appendix 3: Sankey Flow Diagram of Mobility Between Madrid’s Central District Neighborhoods and Their Adjacent Ones on 30 June 2016

Appendix 4: Sankey Flow Diagram of Mobility Between Madrid’s Central District Neighborhoods and Their Adjacent Ones on 2 July 2016

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Lorente-Riverola, I., Ruiz-Sánchez, J. (2018). Spatial Footprints of Context-Aware Digital Services. Eventual Self-regulated Alignments of Dating Apps with the Urban Shape. In: Bisello, A., Vettorato, D., Laconte, P., Costa, S. (eds) Smart and Sustainable Planning for Cities and Regions. SSPCR 2017. Green Energy and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-75774-2_10

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  • DOI: https://doi.org/10.1007/978-3-319-75774-2_10

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