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Crowdsourcing and Visual Research Methodologies to Promote Data Collection for Sustainable Mobility Planning

  • Efthimios BakogiannisEmail author
  • Maria Siti
  • Konstantinos Athanasopoulo
  • Avgi Vassi
  • Charalampos Kyriakidis
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 879)

Abstract

This paper aims to present and compare two methodologies in order to gather data from residents and visitors about their mobility behavior in the urban environment: crowdsourcing and visual research. These methodologies were used in two Sustainable Urban Mobility Plans (SUMPs) in the medium-sized cities Kozani and Drama in Greece. Public input proves to be efficient in recognizing problems, proposing priorities and describing detailed proposals towards achieving desired aims. Results show that the issues that were recorded through the applications of visual research were also perceived by the inhabitants, through the ideas they proposed. It was also found that residents are focusing on concrete proposals, mostly realistic, sometimes presenting a specific spatial reference. On the other hand, public participation in the crowdsourcing platform was low. Combining the two methodologies proves to be effective towards raising public input validity.

Keywords

Crowdsourcing On-line platform Visual research Sustainable Urban Mobility Plan Medium-sized cities 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Efthimios Bakogiannis
    • 1
    Email author
  • Maria Siti
    • 1
  • Konstantinos Athanasopoulo
    • 1
  • Avgi Vassi
    • 1
  • Charalampos Kyriakidis
    • 1
  1. 1.Sustainable Mobility UnitNational Technical University of Athens‎AthensGreece

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