A method for automatically identifying vacant area in the current urban environment based on open source data

Abstract

Urban development and effective land use planning are critical factors in creating sustainable and functional cities. Identifying vacant areas with development potential plays a crucial role in optimizing urban resources and contributes to making informed decisions for new projects and urban transformations. This paper presents a method for identifying vacant territories in the current urban environment to accommodate different infrastructures. The method uses modern technology and open-source data to identify vacant area that can become the object of urban planning and new construction projects. Taking into account such factors as accessibility, zoning rules and urban planning restrictions, the method offers a systematic approach to the assessment of urban development potential. The article describes the main steps of the method, including site selection, extracting sites and functional zones from public data sources, checking for compliance with urban planning regulations and restrictions, and cleaning up the data to eliminate geometric inconsistencies and shallow areas. Through detailed explanations, examples, and recommendations, this paper aims to provide a comprehensive understanding of the method and its application in urban planning practice. The results of this study have important implications for sustainable urban development by enabling informed decision-making that meets the needs and aspirations of communities, contributing to economic growth and improving the overall quality of life. Ultimately, the method developed to identify vacant spaces offers a valuable tool for urban planners and decision-makers seeking to optimize land use and create dynamic and sustainable cities.