10.5220/0006005201760181
https://zenodo.org/records/2587643
oai:zenodo.org:2587643
Agnieszka Turek
Agnieszka Turek
0000-0001-8620-3340
Warsaw University of Technology
Robert Olszewski
Robert Olszewski
Warsaw University of Technology
Marcin Łączyński
Marcin Łączyński
University of Warsaw
Urban Gamification as a Source of Information for Spatial Data Analysis and Predictive Participatory Modelling of a City's Development
Zenodo
2016
Spatial Data Mining
Gamification
Data Analysis
Participatory Modelling
Revitalisation
Smart City
FabSpace
2016-07-27
https://zenodo.org/communities/eu
Creative Commons Attribution 4.0 International
The basic problem in predictive 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 requires 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).
European Commission
10.13039/501100000780
693210
The Fablab for geodata-driven innovation - by leveraging Space data in particular, in Universities 2.0