Abstract The article examines the impact of innovative development of transport enterprises on sustainable regional development, with an emphasis on strategic interaction between transport companies and regional authorities. The study highlights the limitations of traditional approaches to assessing investments in transport infrastructure, in particular their inability to fully take into account long-term, indirect, and spatially differentiated socio-economic, environmental, and institutional effects. To address this gap, a comprehensive game theory-based methodological framework is proposed to formalize the interaction between transport companies and regional authorities as a non-zero-sum two-player game. The purpose of the article is to justify and develop a comprehensive methodological approach to assessing the impact of innovative development of transport enterprises on the sustainable development of the region based on game theory, which allows formalizing the strategic interaction between the transport enterprise and regional authorities, determining equilibrium and Pareto optimal strategies for innovative projects, taking into account economic, environmental, social, and institutional-technological effects. The study integrates economic, environmental, social, and institutional-technological aspects of sustainable development into a single analytical model that allows determining the Nash equilibrium and Pareto-optimal strategies for the implementation of innovative projects. The proposed methodology has been empirically tested on the example of a Ukrainian logistics company that is implementing an innovative electric vehicle management system based on Smart Fleet and Big Data. The results show that cooperation strategies yield better results than isolated decision-making, providing mutual benefits for both transport companies and regional development, including reduced CO 2 emissions, lower accident rates, increased employment, higher productivity, and improved economic efficiency. The results confirm that innovative logistics development can serve as an effective tool for achieving regional sustainable development goals, provided that business strategies are aligned with public policy priorities and supported by appropriate institutional and financial mechanisms. The study contributes to the scientific literature by offering an integrated analytical approach that can be applied to transition economies and regions seeking to balance economic growth with environmental and social sustainability.
Introduction. The actual technical condition of Ukraine’s critical transport infrastructure facilities is a retrospective indicator of the problem of maintenance and operation. The primary task during the restoration of transport infrastructure facilities is to compile a defect list for each facility in order to further develop design solutions and prepare design and cost documentation. The rate of degradation and its patterns directly affect the final cost of restoring transport structures. Determining the technical condition of transport structures, accompanied by an analysis of the condition of structural elements and operating conditions, makes it possible to effectively select technological solutions and construction materials for repair works, taking into account the study of degradation patterns to ensure acceptable reliability and durability, which is a global scientific issue of today. The application of numerical modeling to determine the load-carrying capacity of a bridge is an urgent prerequisite for clarifying its operational condition, as well as for predicting its reliability and durability as a function of time. Problem Statement. It has been established that there is a substantiated need to carry out numerical modeling of the bridge’s load-carrying capacity, taking into account corrosion processes, in order to assess its residual service life. Objectives. The aim of this research is to calculate the load-carrying capacity of the bridge using the finite element method based on the results of a special detailed inspection of the bridge over the Guiva River on Lomonosova Street in Andrushivka, Zhytomyr Region. Results. The study established a pattern of loss of load-carrying capacity of a steel–reinforced concrete road bridge, taking into account the weakening of truss elements due to corrosion processes. Furthermore, based on the results obtained, the technical condition of the structure was determined; an assessment of the loss of load-carrying capacity in accordance with the identified defects and operational condition was carried out; the residual service life was evaluated; proposals for eliminating defects and damages were provided; and a conclusion regarding the feasibility of new construction was formulated. Conclusions. The study presents numerical modeling of the bridge’s load-carrying capacity, taking into account corrosion processes, based on the results of a special detailed inspection.
Introduction. The intensive development of road transport is accompanied by an increasing load on the existing road network, which leads to a gradual deterioration of traffic conditions, a reduction in average travel speeds, and an increase in delays. Under such conditions, the timely determination of the moment when road sections lose their operational efficiency and the justification of the feasibility of their reconstruction become particularly important. Problem Statement. Most existing approaches to assessing the capacity of automobile roads are based on comparing actual traffic intensity with нормативні (standard) values and do not fully account for the influence of intersections, access points, and traffic flow structure. This results in limited accuracy when determining the real level of operational efficiency of road sections. Purpose. The purpose of this study is to develop a methodology for determining the need for reconstruction of an automobile road section based on the analysis of free traffic headways and forecasting changes in traffic intensity over time. Materials and Methods. The proposed methodology is based on a comprehensive combination of field observations, analytical calculations of the number of free traffic headways, determination of the maximum allowable traffic intensity, and forecasting transport demand using a logistic model. To assess operational efficiency, a criterion of the limiting number of free time headways in the traffic flow is applied. Results. An approach is proposed for determining the limiting traffic intensity at which traffic conditions on an automobile road section cease to be efficient. The methodology makes it possible to establish the period of effective operation of a road section and to forecast the moment from which reconstruction becomes advisable. Conclusion. The results of the study can be used for planning the reconstruction of automobile roads, improving traffic management, and substantiating engineering decisions at the stage of long-term development of the road network.
