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

Author

Listed:
  • Anatoliy Tryhuba

    (Department of Information Technologies, Lviv National Environmental University, 80-381 Dublyany, Ukraine
    Ukrainian University in Europe-Foundation, Balicka 116, 30-149 Krakow, Poland)

  • 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
    Department of Machine Operation, Ergonomics and Production Processes, Faculty of Production and Power Engineering, University of Agriculture in Krakow, Balicka 116B, 30-149 Krakow, Poland)

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.

Suggested Citation

  • Anatoliy Tryhuba & Szymon Glowacki & Oleg Zachko & Inna Tryhuba & Sergii Slobodian & Vasyl Demchyna & Iryna Horetska & Taras Hutsol, 2025. "System Model for Spatial Data Collection in Post-War Transport Infrastructure Planning," Sustainability, MDPI, vol. 17(17), pages 1-25, August.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:17:p:7676-:d:1732753
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    References listed on IDEAS

    as
    1. Anatoliy Tryhuba & Roman Ratushny & Inna Tryhuba & Nazar Koval & Igor Androshchuk, 2020. "The Model of Projects Creation of the Fire Extinguishing Systems in Community Territories," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 68(2), pages 419-431.
    2. Luqi Wang & Xiaolong Xue & Zebin Zhao & Zeyu Wang, 2018. "The Impacts of Transportation Infrastructure on Sustainable Development: Emerging Trends and Challenges," IJERPH, MDPI, vol. 15(6), pages 1-24, June.
    3. Juhua Gao & Xingwu Duan & Qinglong Wang & Zijiang Yang & Ronghua Zhong & Xiaodie Yuan & Xiong He, 2025. "Spatial Mismatch Between Transportation Development and Tourism Spatial Vitality in Yunnan Province in the Context of Urban–Rural Integration," Land, MDPI, vol. 14(5), pages 1-18, May.
    4. Boeing, Geoff, 2017. "OSMnx: New Methods for Acquiring, Constructing, Analyzing, and Visualizing Complex Street Networks," SocArXiv q86sd, Center for Open Science.
    5. repec:osf:socarx:q86sd_v1 is not listed on IDEAS
    6. Geoff Boeing & Carl Higgs & Shiqin Liu & Billie Giles-Corti & James F Sallis & Ester Cerin & Melanie Lowe & Deepti Adlakha & Erica Hinckson & Anne Vernez Moudon & Deborah Salvo & Marc A Adams & Ligia , 2022. "Using Open Data and Open-Source Software to Develop Spatial Indicators of Urban Design and Transport Features for Achieving Healthy and Sustainable Cities," Papers 2205.05240, arXiv.org.
    7. Bayissa Badada Badassa & Baiqing Sun & Lixin Qiao, 2020. "Sustainable Transport Infrastructure and Economic Returns: A Bibliometric and Visualization Analysis," Sustainability, MDPI, vol. 12(5), pages 1-24, March.
    Full references (including those not matched with items on IDEAS)

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