crowdsourcing using location- based questionnaires Google - - PowerPoint PPT Presentation

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crowdsourcing using location- based questionnaires Google - - PowerPoint PPT Presentation

From passive to active crowdsourcing using location- based questionnaires Google StreetView to rebuild a cyclists experience Mobile Ghent 13 Kevin Baker Kevin.baker@ugent.be Kevin.baker@routeyou.com Motivation and scope Motivation and


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From passive to active crowdsourcing using location- based questionnaires

Google StreetView to rebuild a cyclist’s experience Mobile Ghent ’13

Kevin Baker Kevin.baker@ugent.be Kevin.baker@routeyou.com

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Motivation and scope

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Motivation and scope

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Motivation and scope

  • We already look at what people do ...
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Motivation and scope

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Study design

  • Proof-of-concept: ASKme application

Google Street View Location Lickert scale answers Skip or dropout Question

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Study design

  • Under the hood
  • X,Y
  • Bearing
  • Pitch
  • Question
  • Possible Answers
  • Answer Type
  • Date And Time
  • Token
  • User Id
  • Given Answers
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Results

  • Automaticaly generated Q-locations based on road database
  • Question based on road attribution:
  • “is there a cycling lane visible?”, “Overall suitability of the road for cycling?”, “Overal

saftey of road?”, “Is this road paved or unpaved?”, ...

  • All Centers of road segment longer than 500 m
  • ± 250 000 Questions / Belgium and The Netherlands
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Results

Set 1: unordered list of locations and questions

  • 6915 answers
  • march 2013 – june 2013
  • 64% unique locations

Set 2: spatially gridded list of locations and questions

  • 3993 answers
  • july 2013 – now
  • 61% unique locations
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Results

  • 10-Questions-set
  • Goal: analyze spread among answers on same location
  • 10 Street View images querying the suitability for a cyclist
  • Timeframe: 7 days
  • 2 question sets; self-selection of type of cyclist: recreational or race
  • 118 unique questionnaire sessions
  • 65 recreational cyclists/32 race cyclists/21 both
  • Total of 139 answered question sets
  • 8.4 % dropout
  • ± 5 - 10 seconds per image
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Results

Q X Y RTYscore 1 3.301907 50.87629 0.775 2 3.297142 50.8778 3.872 3 5.792186 50.75135 1.663 4 3.768525 50.87891 0.775 5 4.250293 50.85228 2.846 6 5.93369 50.38827 2.984 7 3.739064 51.04478 0.913 8 5.790763 50.75148 1.663 9 3.839237 50.87856 2.057 10 4.262866 51.11538 1.663 Not Suitable Less Suitable Moderatly Suitable Suitable Very Suitable

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Discussion and challenges

  • Feasability to cover a large geographic region
  • What do you really want to know and which information is redundant
  • Unique source of Volunteered Geographic information when

combined with other sources

  • Remodeling RTY Formula for ‘nicest cycling routing’
  • Point vs Sequence of points
  • People don’t like 2D, they want 3D/4D
  • Limits of the Google API
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Q&A

  • Contacts:
  • Website: www.routeyou.com
  • ASKme: www.routeyou.com/en/page/view/636/ask-me-expressing-your-
  • pinion-on-the-bikeability-of-roads.en

Kevin Baker Kevin.baker@ugent.be Kevin.baker@routeyou.com

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