A conceptual database model for the identification of degraded areas and areas proposed for planned revitalisation
For revitalisation programmes to be effective, territorial governments have to introduce consolidated measures that support the planning, organisation and implementation of revitalisation measures to benefit local communities and economies, and to alleviate crisis situations in degraded areas. Such...
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| Format: | Article |
| Language: | English |
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Nicolaus Copernicus University in Toruń
2021-03-01
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| Series: | Bulletin of Geography. Socio-Economic Series |
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| Online Access: | https://doi.org/10.2478/bog-2021-0007 |
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| author | Podciborski Tomasz Stanisław Zienkiewicz Aleksandra |
| author_facet | Podciborski Tomasz Stanisław Zienkiewicz Aleksandra |
| author_sort | Podciborski Tomasz Stanisław |
| collection | DOAJ |
| description | For revitalisation programmes to be effective, territorial governments have to introduce consolidated measures that support the planning, organisation and implementation of revitalisation measures to benefit local communities and economies, and to alleviate crisis situations in degraded areas. Such measures require unlimited access to data that accurately describe social, economic and environmental conditions. In view of the above, the main aim of this study was to propose a conceptual database model for the identification of degraded areas and areas proposed for planned revitalisation under revitalisation programmes implemented in urbanised rural areas. The detailed objectives of the presented research were to describe the components of the proposed database and the sources of data for developing municipal revitalisation programmes. A diagram of the database model supporting the initial stages of revitalisation was also presented. The research methodology involved analyses, inference and deduction. A questionnaire survey conducted among geography, spatial planning, urban development and environmental experts was used as a research tool in the study. The results of the questionnaire confirmed the validity of the components of the proposed database model. |
| format | Article |
| id | doaj-art-b3a5e502a14c4792aae6734ec3df458d |
| institution | Kabale University |
| issn | 2083-8298 |
| language | English |
| publishDate | 2021-03-01 |
| publisher | Nicolaus Copernicus University in Toruń |
| record_format | Article |
| series | Bulletin of Geography. Socio-Economic Series |
| spelling | doaj-art-b3a5e502a14c4792aae6734ec3df458d2025-08-20T03:58:49ZengNicolaus Copernicus University in ToruńBulletin of Geography. Socio-Economic Series2083-82982021-03-015151859310.2478/bog-2021-0007A conceptual database model for the identification of degraded areas and areas proposed for planned revitalisationPodciborski Tomasz Stanisław0Zienkiewicz Aleksandra1University of Warmia and Mazury in Olsztyn, Institute of Geospatial Engineering and Real EstatePomeranian Academy in Słupsk, Department of Socio-Economic Geography and TourismFor revitalisation programmes to be effective, territorial governments have to introduce consolidated measures that support the planning, organisation and implementation of revitalisation measures to benefit local communities and economies, and to alleviate crisis situations in degraded areas. Such measures require unlimited access to data that accurately describe social, economic and environmental conditions. In view of the above, the main aim of this study was to propose a conceptual database model for the identification of degraded areas and areas proposed for planned revitalisation under revitalisation programmes implemented in urbanised rural areas. The detailed objectives of the presented research were to describe the components of the proposed database and the sources of data for developing municipal revitalisation programmes. A diagram of the database model supporting the initial stages of revitalisation was also presented. The research methodology involved analyses, inference and deduction. A questionnaire survey conducted among geography, spatial planning, urban development and environmental experts was used as a research tool in the study. The results of the questionnaire confirmed the validity of the components of the proposed database model.https://doi.org/10.2478/bog-2021-0007revitalisationdatabasedegraded areaarea proposed for revitalisation |
| spellingShingle | Podciborski Tomasz Stanisław Zienkiewicz Aleksandra A conceptual database model for the identification of degraded areas and areas proposed for planned revitalisation Bulletin of Geography. Socio-Economic Series revitalisation database degraded area area proposed for revitalisation |
| title | A conceptual database model for the identification of degraded areas and areas proposed for planned revitalisation |
| title_full | A conceptual database model for the identification of degraded areas and areas proposed for planned revitalisation |
| title_fullStr | A conceptual database model for the identification of degraded areas and areas proposed for planned revitalisation |
| title_full_unstemmed | A conceptual database model for the identification of degraded areas and areas proposed for planned revitalisation |
| title_short | A conceptual database model for the identification of degraded areas and areas proposed for planned revitalisation |
| title_sort | conceptual database model for the identification of degraded areas and areas proposed for planned revitalisation |
| topic | revitalisation database degraded area area proposed for revitalisation |
| url | https://doi.org/10.2478/bog-2021-0007 |
| work_keys_str_mv | AT podciborskitomaszstanisław aconceptualdatabasemodelfortheidentificationofdegradedareasandareasproposedforplannedrevitalisation AT zienkiewiczaleksandra aconceptualdatabasemodelfortheidentificationofdegradedareasandareasproposedforplannedrevitalisation AT podciborskitomaszstanisław conceptualdatabasemodelfortheidentificationofdegradedareasandareasproposedforplannedrevitalisation AT zienkiewiczaleksandra conceptualdatabasemodelfortheidentificationofdegradedareasandareasproposedforplannedrevitalisation |