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

Anatoliy Tryhuba, Szymon Glowacki, Oleg Zachko, Inna Tryhuba, Sergii Slobodian, Vasyl Demchyna, Iryna Horetska and Taras Hutsol ()
Additional contact information
Anatoliy Tryhuba: Department of Information Technologies, Lviv National Environmental University, 80-381 Dublyany, Ukraine
Szymon Glowacki: Department of Fundamentals of Engineering and Power Engineering, Institute of Mechanical Engineering, Warsaw University of Life Sciences (SGGW), 02-787 Warsaw, Poland
Oleg Zachko: Department of Information Technologies and Electronic Communications Systems, Lviv State University of Life Safety, 79-000 Lviv, Ukraine
Inna Tryhuba: Department of Information Technologies, Lviv National Environmental University, 80-381 Dublyany, Ukraine
Sergii Slobodian: Institute of Energy, Higher Educational Institution “Podillia State University”, 32-316 Kamianets-Podilskyi, Ukraine
Vasyl Demchyna: Department of Information Technologies and Electronic Communications Systems, Lviv State University of Life Safety, 79-000 Lviv, Ukraine
Iryna Horetska: Department of Agricultural Engineering, Odesa State Agrarian University, 65-012 Odesa, Ukraine
Taras Hutsol: Department of Agricultural Engineering, Odesa State Agrarian University, 65-012 Odesa, Ukraine

Sustainability, 2025, vol. 17, issue 17, 1-25

Abstract: This study presents a system model developed for collecting and analyzing spatial data on the project environment of transport infrastructure development in the post-war context, with a focus on supporting sustainable management and recovery planning. The model utilizes the OpenStreetMap Overpass Application Programming Interface (Overpass API) to extract structured geospatial information from OpenStreetMap (OSM), enabling efficient and accurate assessments of settlements affected by armed conflict. Python 3.11-based software modules were created to process OSM data, evaluate 17 relevant attributes of transport infrastructure objects, and visualize key characteristics for decision-makers. A case study was conducted on 23 Ukrainian settlements with partially damaged infrastructure, demonstrating how the proposed model facilitates timely and informed decisions for infrastructure redevelopment. By improving the accessibility and quality of spatial data, the model enhances the capacity for sustainable management of post-war transport infrastructure projects. To ensure the quality of spatial data obtained from OSM, a verification procedure was carried out by cross-checking with satellite images and official national geospatial data. The results showed an average deviation of ±4.4% in the length of road sections, confirming the reliability and accuracy of spatial objects obtained from OSM for use in transport infrastructure planning. 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.

Keywords: sustainable management; transport infrastructure; post-war recovery; spatial data; OpenStreetMap; project environment; system modeling (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/17/17/7676/pdf (application/pdf)
https://www.mdpi.com/2071-1050/17/17/7676/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:17:y:2025:i:17:p:7676-:d:1732753

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().