A Multi-Level Assessment System for Evaluating the Reconstruction Level of Regional Transport Infrastructure Lands Using Geographic Information Technologies

War Damage Assessment and Post-War Reconstruction

Authors

First and Last Name Academic degree E-mail Affiliation
Maryna Pilicheva Ph.D. maryna.pilicheva [at] gmail.com O.M. Beketov National University of Urban Economy in Kharkiv
Kharkiv, Ukraine
Kostiantyn Mamonov Sc.D. kostia.mamonov2017 [at] gmail.com O.M. Beketov National University of Urban Economy in Kharkiv
Kharkiv, Ukraine
Vasyl Goi Sc.D. Vasyl.Hoi [at] kname.edu.ua O.M. Beketov National University of Urban Economy in Kharkiv
Kharkiv, Ukraine
Roman Viatkin Ph.D. Roman.Viatkin [at] kname.edu.ua O.M. Beketov National University of Urban Economy in Kharkiv
Kharkiv, Ukraine

I and my co-authors (if any) authorize the use of the Paper in accordance with the Creative Commons CC BY license

First published on this website: 01.07.2026 - 21:32
Abstract 

A methodological approach to the comprehensive assessment of the reconstruction level of regional transport infrastructure lands using geoinformation technologies has been developed. A multi-level system is proposed that ensures the sequential integration of spatial data, geoinformation analysis, a system of indicators, and multi-criteria assessment methods to derive an integral indicator of the reconstruction level. The information base of the study includes data from the State Land Cadastre, urban planning documentation, Earth remote sensing, transport networks, statistical materials, and field surveys. The proposed methodological approach involves the normalization of indicators, determination of their weighting coefficients, calculation of partial indices, and derivation of an integral indicator, followed by the cartographic visualization of the results within a geoinformation environment. Based on the results of the approbation, an integral assessment of the reconstruction level of regional transport infrastructure lands in Ukraine was carried out, and their spatial differentiation was performed. The findings indicate that the highest values of the integral indicator are characteristic of Kyiv, Lviv, Ternopil, Rivne, and Dnipropetrovsk regions, whereas the lowest value was recorded for Luhansk region. The developed thematic map made it possible to identify regions with different levels of reconstruction and to determine territories requiring priority implementation of recovery measures. The practical significance of the obtained results lies in the possibility of applying the proposed approach to provide information and analytical support for managerial decision-making related to reconstruction planning, prioritization of investment allocation, and monitoring the effectiveness of regional transport infrastructure recovery.

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