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Urban space optimization - a case study of the city of Bartoszyce

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In the optimization process aimed at identifying the most effective solution while accounting for all existing constraints, the objective is to determine the optimal variant from a set of admissible alternatives. In the field of spatial management, the term "optimization" is employed to assess the most efficient - optimal - allocation and utilization of land. This assessment primarily pertains to the spatial distribution of economic entities and is frequently applied to urban areas and their surroundings. Moreover, it serves to coordinate human activities while safeguarding ecological structures and natural resources to achieve sustainable development. This article presents a procedure for urban space optimization, which could be incorporated into the process of modifying land-use functions. The primary objective of the analysis is to determine a new, optimal land-use function by considering key social, economic, and environmental criteria that significantly influence urban space utilization. Additionally, the study introduces the concept of optimizing spatial processes, the methodology for identifying optimal land-use states, and the potential application of optimization methods, which are regarded as decision-support tools in spatial planning and management. Particular emphasis is placed on the use of Geographic Information System (GIS) tools as analytical instruments facilitating the optimization of spatial structures.
Czasopismo
Rocznik
Strony
123--138
Opis fizyczny
Bibliogr. 25 poz.
Twórcy
  • University of Warmia and Mazury in Olsztyn, Faculty of Geoengineering, Institute of Spatial Management and Geography, Department of Socio-Economic Geography, Olsztyn, Poland
  • University of Warmia and Mazury in Olsztyn, Faculty of Geoengineering, Institute of Spatial Management and Geography, Department of Socio-Economic Geography, Olsztyn, Poland
Bibliografia
  • 1. Bajerowski T., (ed.); Bal A., Biłozor A., Gerus-Gościewska M., Sidor I., Szurek M., Turkowska O., Wielgosz A. (2003). Podstawy teoretyczne gospodarki przestrzennej i zarządzania przestrzenią (Theoretical foundations of spatial economy and spatial management). Wydawnictwo Uniwersytetu Warmińsko-Mazurskiego, Olsztyn.
  • 2. Bielecka E. (2006). Systemy informacji geograficznej. Teoria i zastosowania (Geographic Information Systems. Theory and applications). Polsko Japońska Oficyna Wydawnicza PJWSTK, Warszawa.
  • 3. Biłozor A. (2013). Development of a Decision-Making Algorithm for Determination of the Optimal Land Use Function. Real Estate Management and Valuation, vol. 21, no. 3, pp. 15-24.
  • 4. Biłozor A., Renigier-Biłozor M., Furman A. (2014). Multi-Criteria Land Use Function Optimization. Real Estate Management and Valuation, vol. 22, no. 4, pp. 81-91.
  • 5. Biłozor A., Renigier-Biłozor M. (2015). Optimization and polioptimization in the management of land. GeoConference on Informatics, Geoiformatics and remote sensing. SGEM2015 Conference Proceedings, June 18-24, 2015, Book 2, vol. 2, pp. 1011-1018, Bułgaria.
  • 6. Biłozor A., Cieślak I. (2021). Review of Experience in Recent Studies on the Dynamics of Land Urbanisation. Land, vol. 10, no. 11. https://doi.org/10.3390/land10111117.
  • 7. Broniewski S., Suchorzewski W. (1979). Metoda optymalizacji warszawskiej (Warsaw optimization method). In: R. Kulikowski, J.W. Owsiński (ed.). Zastosowanie analizy systemowej w modelowaniu rozwoju regionalnego (Application of system analysis in modeling regional development). PWN, Warszawa - Łódź, pp. 91-102.
  • 8. Cao Y., Wang J., Li G. (2019). Ecological restoration for territorial space: Basic concepts and foundations. China Land Science, vol. 33.
  • 9. Cotter M., Berkhoff K., Gibreel T., Ghorbani A., Golbon R., Nuppenau E.A., Sauerborn J. (2014). Designing a sustainable land use scenario based on a combination of ecological assessments and economic optimization. Ecological Indicators, vol. 36, pp. 779-787.
  • 10. Fang C., Yang J., Fang J., Huang X., Zhou Y. (2018). Optimization transmission theory and technical pathways that describe multiscale urban agglomeration spaces. Chinese Geographical Science, vol. 28, pp. 543-554.
  • 11. Gao L.; Bryan B.A. (2017). Finding pathways to national-scale land-sector sustainability. Nature, 544, 217-222.
  • 12. Jażdżewska I., Urbański J. (2013). GIS w nauce (GIS in science). Wydawnictwo Uniwersytetu Łódzkiego. Łódź.
  • 13. Kinzy S.A. 1992. Dwelling attribute forecasts based on land residua maximization. Land Economics, 68(4): 380-396.
  • 14. Ligmann-Zielinska A., Church R.L., Jankowski P. (2008) Spatial optimization as a generative technique for sustainable multiobjective land-use allocation. International Journal of Geographical Information Science, 22, 601-622. https://doi.org/10.1080/13658810701587495.
  • 15. Liu C., Deng C., Li Z., Liu Y., Wang S. (2022). Optimization of Spatial Pattern of Land Use: Progress, Frontiers, and Prospects. International Journal of Environmental Research and Public Health, 19, 5805. https://doi.org/10.3390/ijerph19105805.
  • 16. Miejscowe plany zagospodarowania przestrzennego gminy Bartoszyce (Local spatial development plans for the municipality of Bartoszyce). https://sip.bartoszyce.pl/ [access: 23.11.2023].
  • 17. Prognoza oddziaływania na środowisko Strategii Rozwoju Miasta Bartoszyce (Environmental Impact Assessment of the Development Strategy of the City of Bartoszyce). https://bip.bartoszyce.pl/system/obj/4786_2016_09_06_prognoza.pdf [access: 20.11.2023].
  • 18. Program ochrony środowiska dla Gminy Bartoszyce (Environmental protection program for the municipality of Bartoszyce). https://bip.gmina-bartoszyce.pl/system/obj/4466_Projekt_POS_2017_dla_Gminy_Bartoszyce.pdf [access: 20.11.2023].
  • 19. Sterling S.M., Ducharne A., Polcher J. (2013). The impact of global land-cover change on the terrestrial water cycle. Nature Climate Change, 3, 385-390.
  • 20. Strategia Rozwoju Miasta Bartoszyce (Development Strategy of the City of Bartoszyce), https://bip.bartoszyce.pl/system/obj/4787_2016_09_06_strategia.pdf [access: 20.11.2023].
  • 21. Studium uwarunkowań i kierunków zagospodarowania przestrzennego gminy Bartoszyce (Study of the conditions and directions of spatial development of the municipality of Bartoszyce). https://bip.gmina-bartoszyce.pl/system/obj/4286_Uwarunkowania_zagospodarowania_przestrzenne go.pdf [access: 23.11.2023].
  • 22. Tarnowski W. (2011). Optymalizacja i polioptymalizacja w technice (Optimization and polyoptimization in technic). Wydawnictwo Uczelniany Politechnika Koszalińskiej. Koszalin.
  • 23. Turner B., Skole D.L., Sanderson S., Fischer G., Fresco L., Leemans R. (1995). Land-use and land-cover change: Science/research plan. Global Change Report, 43.
  • 24. Urząd Miasta Bartoszyce (Bartoszyce City Hall), https://bartoszyce.pl [access: 25.11.2023].
  • 25. Yao J., Zhang X., Murray A.T. (2018). Spatial optimization for land-use allocation: Accounting for sustainability concerns. International Regional Science Review, 41, 579-600.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-91a714f1-d702-4d82-8db9-887a15c07c33
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