2587643
doi
10.5220/0006005201760181
oai:zenodo.org:2587643
user-eu
Robert Olszewski
Warsaw University of Technology
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
Agnieszka Turek
Warsaw University of Technology
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Spatial Data Mining
Gamification
Data Analysis
Participatory Modelling
Revitalisation
Smart City
FabSpace
<p>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). </p>
Zenodo
2016-07-27
info:eu-repo/semantics/conferencePaper
2587642
user-eu
award_title=The Fablab for geodata-driven innovation - by leveraging Space data in particular, in Universities 2.0; award_number=693210; award_identifiers_scheme=url; award_identifiers_identifier=https://cordis.europa.eu/projects/693210; funder_id=00k4n6c32; funder_name=European Commission;
1579539354.716656
1453884
md5:42fbb1461df5f414fcef698849a76f64
https://zenodo.org/records/2587643/files/DATA_2016_52.pdf
public