AN APPLICATION FOR ESTIMATING THE DENSITY OF PUBLIC AND BUSINESS ZONES IN THE CITY
DOI:
https://doi.org/10.35211/68saaq49Keywords:
PUBLIC AND BUSINESS SPACES, URBAN ENVIRONMENT, PYTHON, OPENSTREETMAP, GEOINFORMATION SYSTEMS, INFRASTRUCTURE ANALYSIS, BUILDING DENSITY, SPATIAL PLANNINGAbstract
One of the priority tasks for the development of the modern urban environment is the analysis of the placement densities of public and business spaces that have a significant impact on the social and economic dynamics of cities. Such spaces form the core of daily activity, determine urban planning priorities and influence the comfort of living. In the context of the continuous growth of cities, the increasing complexity of their spatial configuration and the increasing of information flows, the use of digital technologies for the systematic and operational assessment of such zones is becoming especially relevant. This article discusses the process of developing of a software tool designed for automated visualization and quantitative assessment of the object placement densities of public and business purposes. The OpenStreetMap service is used as a cartographic database, and the technical implementation is carried out using the Python programming language and a set of specialized libraries. The result of the work is an application that generates an interactive map, a table of objects, and graphical analytical visualization. The software product has been tested in five cities of the Volgograd region as an example. The presented data demonstrate the potential of using such solutions in the framework of urban analysis, urban planning and spatial management tasks. The work also highlights the importance of digital cartographic tools in expanding the capabilities of local government and analytics at the municipal level. Despite the availability of technological capabilities, many Russian cities are faced with restrictions in access to open and relevant spatial data, which creates additional difficulties in implementing such solutions and scaling projects to certain regions.
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Copyright (c) 2025 Савина Оксана Владимировна, Колядов Артём Николаевич, Вайнберг Артемий Владиславович, Ерещенко Татьяна Владимировна, Аникин Антон Викторович (Автор)

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Copyright (c) 2025 Urban Sociology
Это произведение доступно по лицензии Creative Commons «Attribution-NonCommercial» («Атрибуция — Некоммерческое использование») 4.0 Всемирная.
