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This study presents a comprehensive approach to determining the transportation planning method, accounting for network parameters of the city logistics systems and flexible traffic organization. This method considers the rapid change in the operational situation under martial law, allowing for adaptation of routes and means of transport to changing operating conditions, in particular restrictions that arise in the event of martial law, such as curfews and power outages. The efficiency of different transport modes, including diesel buses, electric buses, and trolleybuses with autonomous range is considered, along with the influence of external factors such as air temperature, traffic density, and infrastructure damage. The optimality criterion is defined as the minimization of transportation costs, accounting for energy consumption, carbon footprint, and transport reliability. As a case study, routes for employee transport to the industrial zone of Zaporizhzhia were examined, a representative subsystem was identified, and its performance was assessed. The developed method allows for an increase in transport service efficiency, a reduction in delays and environmental impact, thereby ensuring the implementation of sustainable urban development goals. The relevance of the study is determined by the need to ensure the reliable functioning of commuting systems for enterprise employees under conditions of limited transport infrastructure and unstable energy supply. Under such conditions, it is important to substantiate the parameters of transport service organization, accounting for route network characteristics, means of transport, and external factors. The study considers factors affecting transportation efficiency, including transport demand volumes, route lengths, vehicle occupancy, operating conditions, and the likelihood of schedule deviations. This enables assessment of the transport subsystem's operating conditions. A method for optimizing transportation system parameters is proposed that minimizes operating costs while accounting for reliability and environmental factors. The approach was applied to the transportation of employees to industrial enterprises in Zaporizhzhia. The results obtained confirm increased efficiency of transportation planning and greater stability of the transport subsystem’s functioning.
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Turpak et al. (2026) studied this question.
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