Liamzin A. Scientific and methodological bases of ecological safety management of transport flows in the environment of street and road network of industrial zones.

The dissertation presents scientific and methodological bases for solving an important economic problem of ensuring the environmental safety traffic flows, taking into account the basic principles their functionality and the potential ecological framework of the road network of industrial zones to solve practical problems developing spatially organized infrastructure. Based on a critical analysis of the results existing theoretical, practical and experimental studies to study the factors that form a low level of environmental safety traffic flows in the road environment industrial areas, it is established that: poorly studied nature of the impact transport clusters on the environment street-road network industrial zones; there are no methods for determining the assimilation potential of the environment of the road network industrial zones from the influence transport clusters, taking into account the nature of their occlusivity; the mechanism evaluation management efficiency system components is insufficiently studied: "potential of the street-road network architecture - stability transport flows - ecological safety transport flows" in time space of economic bifurcation under conditions of constant dynamics of urbanization of the street-road network environment; there are no mechanisms for determining the economic equivalent of the deficit costs aimed at ensuring the life safety of a unit of society in the environment of the road network of industrial zones. The concept of «Green Learn Logistic» is proposed, which is based on the formation of «Soft Skills» tuple of traffic flow management according to system principles: adaptability; flexibility; self-learning and the environmental safety assessment forecasting mechanism of transport flows, which are formed by clusters with their characteristic nature of occlusivity. Based on the synthesis general principles of fuzzy set theory and neural networks, a model for managing the level of ecological condition of the transport system in the environment of the road network of industrial zones is developed, which allows to formulate clear environmental guidelines for the city population, with the subsequent redistribution of traffic flows in the temporal and geographical space of industrial areas of the city. Practical methods for improving the environmental safety of traffic flows in the environment of the street and road network of industrial zones, which are implemented in the practice of industrial and municipal enterprises of Mariupol. The use of the developed methods and practical recommendations allowed to reduce the downtime of vehicles in urban networks when serving passenger flows by 540 passenger-hours, and increase their energy efficiency by 3% of existing standards and reduce greenhouse gas emissions by 5% of existing indicators. Based on the obtained research results and the developed model of the public passenger transport traffic distribution control system in large municipalities, a block of practical recommendations was implemented to determine the rational parameters of public passenger transport interaction in Mariupol.