Please use this identifier to cite or link to this item: http://hdl.handle.net/10995/73939
Title: Classification of Russian cities by levels of road traffic safety: Specifics of required management decisions
Authors: Petrov, A.
Petrova, D.
Issue Date: 2018
Publisher: EDP Sciences
Citation: Petrov A. Classification of Russian cities by levels of road traffic safety: Specifics of required management decisions / A. Petrov, D. Petrova // MATEC Web of Conferences. — 2018. — Vol. 170. — 5009. — DOI: 10.1051/matecconf/201817005009.
Abstract: The article considers the results of research of accident rate heterogeneity in cities-administrative centers of subjects of Russian Federation (2015, 2016). Using methods of ranging, regression analysis and spatial differentiation these cities were classified into 5 classes on the basis of relative disadvantage in road traffic safety sphere. For each group of cities differentiated recommendations on financing regional road traffic safety programs were suggested. © The Authors, published by EDP Sciences, 2018.
Keywords: ACCIDENT PREVENTION
REGRESSION ANALYSIS
ROADS AND STREETS
URBAN GROWTH
ACCIDENT RATE
MANAGEMENT DECISIONS
REGIONAL ROAD TRAFFIC
ROAD TRAFFIC SAFETY
RUSSIAN FEDERATION
SPATIAL DIFFERENTIATION
STREET TRAFFIC CONTROL
URI: http://hdl.handle.net/10995/73939
Access: cc-by
Conference name: 2017 International Science Conference on Business Technologies for Sustainable Urban Development, SPbWOSCE 2017
Conference date: 20 December 2017 through 22 December 2017
RSCI ID: 35747358
SCOPUS ID: 85049458205
PURE ID: 7655436
ISSN: 2261-236X
DOI: 10.1051/matecconf/201817005009
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS CC

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