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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 P\u0142ock) 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).
", "funding": [ { "award": { "acronym": "FabSpace 2.0", "id": "00k4n6c32::693210", "identifiers": [ { "identifier": "https://cordis.europa.eu/projects/693210", "scheme": "url" } ], "number": "693210", "program": "H2020", "title": { "en": "The Fablab for geodata-driven innovation - by leveraging Space data in particular, in Universities 2.0" } }, "funder": { "id": "00k4n6c32", "name": "European Commission" } } ], "publication_date": "2016-07-27", "publisher": "Zenodo", "resource_type": { "id": "publication-conferencepaper", "title": { "de": "Konferenzbeitrag", "en": "Conference paper" } }, "rights": [ { "description": { "en": "The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited." }, "icon": "cc-by-icon", "id": "cc-by-4.0", "props": { "scheme": "spdx", "url": "https://creativecommons.org/licenses/by/4.0/legalcode" }, "title": { "en": "Creative Commons Attribution 4.0 International" } } ], "subjects": [ { "subject": "Spatial Data Mining" }, { "subject": "Gamification" }, { "subject": "Data Analysis" }, { "subject": "Participatory Modelling" }, { "subject": "Revitalisation" }, { "subject": "Smart City" }, { "subject": "FabSpace" } ], "title": "Urban Gamification as a Source of Information for Spatial Data Analysis and Predictive Participatory Modelling of a City's Development" }, "parent": { "access": { "owned_by": { "user": 62450 } }, "communities": { "entries": [ { "access": { "member_policy": "open", "record_policy": "open", "review_policy": "open", "visibility": "public" }, "children": { "allow": false }, "created": "2022-11-23T15:53:29.436323+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "f0a8b890-f97a-4eb2-9eac-8b8a712d3a6c", "links": {}, "metadata": { "curation_policy": "", "description": "", "page": "", "title": "EU" }, "revision_id": 0, "slug": "eu", "updated": "2022-11-23T15:53:29.436331+00:00" } ], "ids": [ "f0a8b890-f97a-4eb2-9eac-8b8a712d3a6c" ] }, "id": "2587642", "pids": {} }, "pids": { "doi": { "identifier": "10.5220/0006005201760181", "provider": "external" }, "oai": { "identifier": "oai:zenodo.org:2587643", "provider": "oai" } }, "revision_id": 5, "stats": { "all_versions": { "data_volume": 129395676.0, "downloads": 89, "unique_downloads": 89, "unique_views": 69, "views": 77 }, "this_version": { "data_volume": 129395676.0, "downloads": 89, "unique_downloads": 89, "unique_views": 69, "views": 77 } }, "status": "published", "updated": "2020-01-20T16:55:54.716656+00:00", "versions": { "index": 1, "is_latest": true } }