Urban gamification as a Source of Information for Spatial Data Analysis and Predictive Participatory Modelling of a City's Development

Robert Olszewski , Agnieszka Turek , M. Łączyński


The basic problem in predicitive participatory urban planning is activating residents of a city, e.g. through the application of the technique of individual and/or team gamification. The authors of the article developed (and tested in Płock) a methodology and prototype of an urban game called "Urban Shaper". This permitted obtaining a vast collection of opinions of participants on the directions of potential development of the city. The opinions, however, are expressed in an indirect manner. Therefore, their analysis and modelling of participatory urban development rquires the application of extended algorithms of spatial statistics. The collected source data are successively processed by means of spatial data mining techniques, permitting activation of condensed spatial knowledge based on "raw" source data with high volume (big data).
Author Robert Olszewski (FGC / DC)
Robert Olszewski,,
- Department of Cartography
, Agnieszka Turek (FGC / CSMES)
Agnieszka Turek,,
- Chair of Spatial Management and Environmental Science
, M. Łączyński
M. Łączyński,,
Publication size in sheets0.5
Book Francalanci Chiara, Helfert Markus (eds.): Proceedings of the 5th International Conference on Data Management Technologies and Applications, 2016, SCITEPRESS, ISBN 978-989-758-193-9
Keywords in EnglishSpatial Data Mining, Gamification, Data Analysis, Participatory Modelling, Revitalisation, Smart City
Internal identifier65/2016
Languageen angielski
Additional file
2016_Oświadczenie_Olszewski_Turek_Łączyński_Gamification_as_a_s.pdf 479.88 KB
Score (nominal)15
Score sourceconferenceIndex
ScoreMinisterial score = 15.0, 29-07-2020, BookChapterMatConfByConferenceseries
Ministerial score (2013-2016) = 15.0, 29-07-2020, BookChapterMatConfByConferenceseries
Publication indicators WoS Citations = 1; GS Citations = 4.0
Citation count*4 (2020-09-13)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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