The article presents cluster analysis algorithms used to assess traffic demand and to define the urban territories (focal points (FPs)) as separate clusters (groups) allowing proving/disproving the necessity of territories (FPs) merging on the basis of stated indicators with mathematical precision. The relevance of developing the classification of urban FPs within the context of basic parameters of their functioning is defined. The uniqueness boundary of FP is determined which is used as the base of classifying FPs. The cluster analysis is discussed, namely, its advantages and disadvantages. The goal of the cluster analysis is stated as applied to traffic demand assessment. The cluster analysis is applied to each of 6 enlarged types of territories (FPs): warehousing and utilities; industry; offices; education, healthcare, sport, culture, leisure; trading, public catering, service sector; housing sector.
The article discusses the problems of assessing the influence of centers of gravity on the adjacent street-road networks in the process of their functioning, expansion or reprofiling. The paper shows the main models for estimating the throughput of unregulated intersections proposed in the domestic and foreign literature. The author gives sequence of calculating the transport demand transforming into the intensity of the traffic flow on the road network. Moreover, the study proposes recommendations on assessing the level of traffic service and load factor based on transport demand and throughput, adjacent street-road network.
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