Barriers Survey: A Tool to Support Data Collection for Inclusive Mobility

  • Federico Prandi
  • Michele Andreolli
  • Matteo Eccher
  • Umberto di Staso
  • Raffaele De Amicis
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8515)

Abstract

In this paper we describe the potential for using the Volunteered Geographic Information (VGI), and large crowd-sourced survey, in disable people mobility computing applications The challenge is to make these two concepts talking together exploiting the technologies in order to increase the public participation, and to move towards sustainable development. Our goal is to investigate how participative and people-centric data collection can be used to create a low-cost, open platform to survey, annotate and localise pedestrian mobility features and architectural barriers as it is perceived by the citizen themselves. The core of the project consists into the development and deployment of a mobile application and a web platform, which allow the users to collect and manage the information surveyed.

Keywords

Volunteered Geographic Information Mobile Application Pedestrian mobility Smart cities 

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References

  1. 1.
    Sobek, A., Miller, D., U-Access, H.J.: a web-based system for routing pedestrians of differing abilities. Journal of Geograph. Syst. 8, 269–287 (2006)CrossRefGoogle Scholar
  2. 2.
    Matthews, H., Beale, L., Picton, P., Briggs, D.: Modelling access with GIS in urban systems (MAGUS): capturing the experiences of wheelchair users. Area 35, 34–45 (2003)CrossRefGoogle Scholar
  3. 3.
    Mooney, P., Corcoran, P., Ciepluch, B.: The potential for using volunteered geographic information in pervasive health computing applications. J. Ambient Intell. Human. Comput. (2012), doi:10.1007/s12652-012-0149-4Google Scholar
  4. 4.
    Goodchild, M.F.: Citizens as sensors: The world of volunteered geography. GeoJournal 69, 211–221 (2007)CrossRefGoogle Scholar
  5. 5.
    Neis, P., Zielstra, D., Zipf, A.: The street network evolution of crowd-sourced maps: OpenStreetMap in Germany 2007-2011. Future Internet 4, 1–21 (2012)CrossRefGoogle Scholar
  6. 6.
    Reddy, Y.: Pervasive computing: Implications, opportunitiesGoogle Scholar
  7. 7.
    Zhang, J., Goodchild, M.F.: Uncertainty in geographical information. Taylor and Francis, London (2002)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Federico Prandi
    • 1
  • Michele Andreolli
    • 1
  • Matteo Eccher
    • 1
  • Umberto di Staso
    • 1
  • Raffaele De Amicis
    • 1
  1. 1.Fondazione GraphitechTrentoItaly

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