Space as a public good should be used in a way that is consistent with recognized social, cultural, aesthetic, economical and ecological values. The optimization of space is associated with its limitations, thus it should be subjected to rational management. Optimizing the function of city space involves identifying the most mismatched features of the area and a proposal to convert them into functions best suited with respect to the existing natural and anthropogenic, social, economic and ecological conditions. The selection criteria of the optimal use of land will be presented, as well as the parameters characterizing them and the possibility of using chosen multi-criteria methods of analysis. Social, economic and ecological criteria adopted for the analysis are the basis for the sustainable development of an area and coincide with factors which ought to be taken into account during the development of land-planning documents.
Recently, it has become popular to streamline the way of managing territorial units by adapting the marketing approach to a territorial dimension. The majority of cities and communes in Poland have realized that, in order to achieve their set goals under conditions of fierce competition for limited resources, it is necessary to introduce territorial marketing as one of the key and significant own tasks to be implemented. The objective of the article is to develop principles of the effective use and management of the area of a commune by carrying out suitable marketing projects, based on an analysis of the social, economic and geopolitical situation of the commune, with particular emphasis placed on location factors.
Preliminary data analyses in decision-making systems and procedures are very important for numerous reasons, in particular because the accumulation and analysis of large data sets is costly and time-consuming. The effective use of decision support systems, including on the real estate market, requires the elimination of noise. The authors have proposed to eliminate redundant data with the use of the modified method for evaluating the capacity of the data set, which is applied in the process of classifying the condition of real estate markets. The proposed procedure (subsystem) is an attempt to improve the effectiveness of analyses relating to the development of methods for rating real estate markets. The proposed solutions will be simulated on the example of leading real estate markets in Poland and Italy.
Although the arrangement of urban space use functions is the outcome of the activity of many different entities, it is not a random activity, as there are general principles guiding the creation process of such a structure. The correct selection and arrangement of areas in a city for different types of use is of significant importance for the fulfillment of economic, functional and planning needs of the city. The concept of land division therefore has a decisive effect on the spatial structure of every city.
The growing shortage of free urban space causes, or even forces, its optimal use. The optimization of land use functions in a city aims to verify mismatched land functions and replace them with functions best matched to the present natural and anthropogenic features. Adaptation of problem areas generating “spatial conflicts” should be based on the opinion of the city’s residents to reflect their current needs as well as on economic calculations. This paper presents a procedure for determining optimal states of land use as a tool in the urban space management process. The developed algorithm is designed to form the basis for conducting spatial monitoring, serving to analyze and verify individual land management forms in order to minimize the costs of transformation and maximize income.
This paper presents a streamlined sub-system of decision-making in a real estate market with incomplete data. As we currently observe, various entities collect data and use databases, which entails a problem with their quality and completeness. This results from the specifics of the real estate market, particularly from the nature of the available information, access to it and integral uncertainty.
In the first part of this paper, we will present substantive guidelines for the development of a procedure for supplementing missing information. Afterwards, in order to verify the feasibility and effectiveness of the procedure, an implementation simulation will be conducted on the selected example. We would like to emphasize that all decisions are made under the conditions of an information gap.