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THE PARADIGM OF EFFECTIVE MANAGEMENT OF URBAN TRANSPORT AND LOGISTICS SYSTEMS

The article is devoted to the problems of effective management of urban transport and logistics systems. The aim of the article is to highlight the paradigm of effective management of urban transport and logistics systems. To achieve this goal, the following tasks were solved: to form the structure of the concept of transport and logistics system; to find out the essence of the city transport and logistics system; to systematize the risks that affect the efficiency of urban transport and logistics systems, and to explore the concept of managing these risks; provide modeling as a useful tool for designing and evaluating urban transport and logistics systems. The set goal has been achieved, and the tasks to achieve it have been completed. The goals of activities that can be achieved with the use of the city transport and logistics system were identified, in the context of which the factors influencing the city transport and logistics system are listed: mobility; environmental friendliness; viability; stability. The links between human security and the city's transport and logistics system have been identified. It was found that ICT and ITS allow to develop efficient and environmentally friendly urban delivery systems. An example of this is probabilistic or dynamic vehicle routing and scheduling with ITS-based time windows. The need for modeling for the public and private sectors is proved. It is shown that in the public sector, the risks associated with natural and man-made hazards in urban freight transport systems directly affect the public well-being and health of the population in emergencies. It has been proven that the public sector is interested in finding a reduction in damage to urban logistics facilities and rapid recovery from natural disasters in terms of delivery of goods needed to maintain a high quality of life in urban areas. The need to include uncertainty in the urban logistics model is described to ensure their good performance in the future. Various methods have been shown to account for uncertainties in supply chain modeling, such as scenario and contingency planning, decision trees, and stochastic programming. Simulation has been shown to be a useful tool for the design and evaluation of urban freight and logistics systems. It has been confirmed that urban transport systems need to be more resilient to limit the effects of natural disasters.