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Search for phrase: "multiplicatively weighted voronoi diagra"

The paper explores the application of the gravity model, namely the delineation of the urban predominant influence areas via the generation of the multiplicatively weighted Voronoi diagram, to the socio-economic regionalisation and administrative territorial division of Ukraine, including the existing state of affairs and several proposals on their improvement. The research uses quantitative statistical data on interregional migration and rail passenger traffic within the country, processed via the Statistica analytics software, and a subsequent spatial analysis conducted by GIS. The findings suggest that the gravity model can serve as a tool for optimisation the administrative territorial division, as well as for the delineation of the planning regions and urban hinterlands. At the same time, it has certain limitations and should not be treated as a panacea for regional planning and development.

The article seeks to identify socio-economic conditions that affect the demand of individual consumers for cars and to analyze spatial differences in these conditions. To achieve this objective, econometric modelling is conducted. The analysis was conducted in all poviats in Poland and covered the years 2010-2015. The findings show that the demand for new cars is stimulated by incomes of potential consumers and by a net in-migration, while the level of unemployment together with prices of complementary goods (especially petrol prices) negatively affect the demand for cars. Moreover, geographically weighted regression shows that the identified conditions differ across the country, which may explain the noticeable differences in the level of motorization between poviats.

Spatial rent (annuity) makes it possible to estimate the economic value resulting from the use of space for a given type of activity. This article provides calculations of spatial rent in regard to offshore wind energy development and proposes a data-driven approach for optimizing spatial management strategies, ultimately contributing to more informed decision-making processes in marine spatial management. It analyses seven projects that could be developed in the Polish part of the Baltic Sea as part of Poland’s energy transition. The article employs a robust methodology that integrates technoeconomic analysis and financial forecasting to calculate spatial rent by discounting net cash flows. The calculations are carried out for two windiness scenarios, with the results of the weighted average annual energy production ranging from 38.02 GWh/km2 to 40.56 GWh/km2. Such energy production could yield an annual spatial rent of 10.72 million €/km2 to 13.30 million €/km2.