Open AccessClassification of Urban Focal Points Based on Cluster Analysis
Author(s) -
Anton Zedgenizov,
Evgenii Strizhakov
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/667/1/012109
Subject(s) - context (archaeology) , cluster (spacecraft) , relevance (law) , computer science , service (business) , tertiary sector of the economy , operations research , data science , transport engineering , business , regional science , marketing , geography , engineering , political science , archaeology , law , programming language
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.