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UDC 332.1:911.375; JEL R11, R12, O18 Melnyk, M. I., & Leshchukh, I. V. (2025). Prostorovo-ekonomichna zv’yaznist' mista L'vova ta hromad oblasti: perspektyvy ahlomeratsiynoho rozvytku [Spatial and economic connectivity of the city of Lviv and the communities of the oblast: prospects for agglomeration development]. In Sotsial'no-ekonomichni problemy suchasnoho periodu Ukrayiny [Socio-Economic Problems of the Modern Period of Ukraine]: Vol. 171 (1) (pp. 25-38). DOI: https://doi.org/10.36818/2071-4653-2025-1-4 [in Ukrainian]. Sources: 17
Authors
Melnyk Maryana IvanivnaDoctor of Economics, Professor
Head of the Department of spatial development of the Dolishniy Institute of Regional Research of NAS of Ukraine
Contacts: mar.melnyk@gmail.com, (032)270-70-53, (+38099)72-93-873
Webpages:
Leshchukh Iryna VolodymyrivnaPh.D. of Economics, Senior Researcher
Senior Researcher, Scientific Secretary of the unit of the Department of spatial development of the Dolishniy Institute of Regional Research of NAS of Ukraine
Contacts: ira_leschukh@ukr.net, ira_borsch@mail.ru, (+38096)751-33-89
Webpages:
ResumeThe article examines the spatial and economic influence of Lviv as the core of an emerging agglomeration on the territorial communities of Lvivska Oblast. The research is based on a comprehensive spatial analysis that integrates Schaffle’s gravitational model, a spatial integration index based on residential construction, and Moran's I index to assess the intensity and depth of interaction across various socio-economic parameters. Particular attention is paid to the radial structure of spatial connections between the regional center and surrounding communities. The study uses Python-based geospatial visualization tools (geopandas, matplotlib, shapely) to model commuter flows, allowing a detailed assessment of transport accessibility and functional connectivity between communities and the city of Lviv. The article tests the hypothesis that the level of socio-economic development of territorial communities is spatially dependent on their proximity to the core of business activity — the city of Lviv. The results confirm a clear inverse correlation: as the distance from the core increases, the intensity of spatial-economic interaction decreases. This trend results in a radial-zonal structure of influence, with the highest degree of integration observed in suburban communities within a 15 km radius, which form the inner belt of the Lviv agglomeration. These communities demonstrate strong functional ties with the core, including commuting patterns, business activity, housing development, and logistical integration. In contrast, communities located 30–70 km away show fragmented interactions, while more distant areas (over 70 km) display minimal integration and increasing autonomy, often forming localized centers of economic growth. The study also identifies key spatial barriers and underutilized growth points, which are important for the design of a balanced regional development strategy. The results highlight the role of industrial parks, transport infrastructure, and commuting networks in shaping spatial cohesion. The research underlines the need for polycentric development models that enhance cooperation between the core and the periphery, supporting the diffusion of agglomeration effects over a wider area. Ultimately, the findings provide a solid empirical foundation for evidence-based spatial planning and the formulation of policies aimed at strengthening economic integration and regional resilience in post-war Ukraine.
Keywords:agglomeration, spatial-economic interaction, agglomeration space, territorial communities, Moran’s Index, gravity model, transport accessibility
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