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.
This study presents a procedure for identifying problem areas that could be considered in the urban revitalization program. The research was conducted in ESRI's ArcGIS Pro software using Geoprocessing tools. The aim of this study is to utilize multi- criteria GIS analysis in the process of urban area revitalization. In selecting the study area, in this case, the city of Wrocław, both its characteristics and the availability of geospatial information were taken into account. Four main indicators, described by 11 negative factors, were adopted for the GIS analysis of urban revitalization: social phenomena (personal and public safety, the number of individuals subject to "blue card" procedures per 1,000 inhabitants, the number of crimes per 1,000 inhabitants, the number of individuals receiving social assistance due to poverty per 1,000 inhabitants), economic factors (deficit of bridging capital, overall unemployment rate, level of economic wealth), environmental factors (noise in decibels), and functional-spatial factors (spatial distribution of public transport stops, spatial distribution of green areas, spatial distribution of access to services). As a result of the analysis conducted in the urban area, neighborhoods were identified that should be included in the revitalization process.
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