System Model for Spatial Data Collection in Post-war Transport Infrastructure Planning

Strategic Insights -

A new study presents a system model developed for collecting and analyzing spatial data on transport infrastructure development in post-war contexts. The model utilizes OpenStreetMap (OSM) data and Python 3.11-based software modules to assess settlements affected by armed conflict. Researchers from the Department of Agricultural Engineering conducted a case study on 23 Ukrainian settlements and found an average deviation of +/- 4.4% in the length of road sections when cross-checking with satellite images and official national geospatial data.

Key Takeaways:

  • The system model collects and analyzes spatial data on transport infrastructure development in post-war contexts, utilizing OpenStreetMap (OSM) data and Python 3.11-based software modules.
  • The model enabled efficient and accurate assessments of settlements affected by armed conflict, supporting sustainable management and recovery planning.
  • A case study was conducted on 23 Ukrainian settlements with partially damaged infrastructure, demonstrating the model's ability to facilitate timely and informed decisions for infrastructure redevelopment.
  • The model enhances the capacity for sustainable management of post-war transport infrastructure projects by improving the accessibility and quality of spatial data.
  • The research showed an average deviation of +/- 4.4% in the length of road sections when cross-checking with satellite images and official national geospatial data.
  • The findings offer valuable insights for regional planners, public administrators, and policymakers involved in sustainable reconstruction and digital governance.
  • Future research will focus on developing a comprehensive information system for identifying and prioritizing infrastructure development projects within defined administrative units such as municipalities and local communities.
  • The system model was supported by the Ministry of Education and Science, and the research was conducted by researchers from the Department of Agricultural Engineering, including Taras Hutsol, Anatoliy Tryhuba, Inna Tryhuba, Szymon Glowacki, Oleg Zachko, Vasyl Demchyna, Sergii Slobodian, and Iryna Horetska.

Statistics:

  • 23 Ukrainian settlements were studied in the case study, with partially damaged infrastructure.
  • The model showed an average deviation of +/- 4.4% in the length of road sections when cross-checking with satellite images and official national geospatial data.
  • The study utilized OpenStreetMap (OSM) data, which is a free editable map of the world.
  • Python 3.11-based software modules were developed for processing OSM data, evaluating relevant attributes of transport infrastructure objects, and visualizing key characteristics for decision-makers.
  • The research concluded that future studies will focus on developing a comprehensive information system for identifying and prioritizing infrastructure development projects.

Sources:

  • System Model for Spatial Data Collection In Post-war Transport Infrastructure Planning. Sustainability, 2025;17(17):7676.
  • NewsRx. Researchers from Department of Agricultural Engineering Discuss Findings in Sustainability Research (System Model for Spatial Data Collection In Post-war Transport Infrastructure Planning). Ecology, Environment & Conservation. October 24, 2025; p 766.