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https://elar.usfeu.ru/handle/123456789/9207
Полная запись метаданных
Поле DC | Значение | Язык |
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dc.contributor.author | Verbitskaya, N. O. | en |
dc.contributor.author | Vukovic, D. B. | en |
dc.contributor.author | Mehrentsev, A. V. | en |
dc.contributor.author | Jakovljevic, D. | en |
dc.contributor.author | Vujko, A. | en |
dc.date.accessioned | 2020-02-03T04:43:50Z | - |
dc.date.available | 2020-02-03T04:43:50Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | Cube online analytical model (colam) in the river shipping logistic forecasting / N. O. Verbitskaya, D. B. Vukovic, A. V. Mehrentsev [et al.] // Journal Of The Geographical Institute Jovan Cvijic Sasa. – 2018. – Vol. 68. – Iss. 2. – P. 297-304. | en |
dc.identifier.issn | 0350-7599 | - |
dc.identifier.uri | https://elar.usfeu.ru/handle/123456789/9207 | - |
dc.description.abstract | In this paper authors developed Cube Online Analytical Model (COLAM) which should anticipate various restrictions and hazards in river transport system. The aim is to construct a theoretical model which will predict certain delays in transport time caused by topographic and hydrographic constraints, natural hazards (such as ice, floods and droughts), economic and political constraints (tariff barriers between the countries, operating costs, terminal costs and sanctions, the threat of war, etc.) and different technical accidents. COLAM integrates hydroinformatic and hydrologic base of knowledge with real time and gives possibility to provide information for economic queries with different hierarchy of time. COLAM is methodological and practical instrument for this challenge. It integrates hydroinformatic and hydrologic base of knowledge with real time. The model in each concrete case is created to receive information about possible changing of navigation periods on the base of multi-dimension all of three groups of risks (natural hazards, social and technical hazards) as also their combinations. | en |
dc.description.sponsorship | This study is supported by Ural Federal University (Yekaterinburg, Russia) with support 2.1.1.5.B-18. with presented methodology from RFBR project with the number 17-22-07001. | en |
dc.language.iso | en | en |
dc.publisher | GEOGRAFSKI INST JOVAN CVIJIC SASA | en |
dc.rights | info:eu-repo/semantics/restrictedAccess | en |
dc.source | Journal Of The Geographical Institute Jovan Cvijic Sasa | en |
dc.subject | ECONOMIC GEOGRAPHY | en |
dc.subject | COLAM | en |
dc.subject | RIVER SHIPPING | en |
dc.subject | HAZARDS | en |
dc.subject | TRANSPORT LOGISTICS | en |
dc.title | Cube online analytical model (colam) in the river shipping logistic forecasting | en |
dc.type | Article | en |
dc.type | info:eu-repo/semantics/article | en |
dc.type | info:eu-repo/semantics/publishedVersion | en |
local.description.firstpage | 297 | - |
local.description.lastpage | 304 | - |
local.issue | 2 | - |
local.volume | 68 | - |
local.identifier.wos | WOS:000442742400010 | - |
local.identifier.doi | 10.2298/IJGI1802297V | - |
Располагается в коллекциях: | Научные публикации, проиндексированные в SCOPUS и WoS CC |
Файлы этого ресурса:
Файл | Описание | Размер | Формат | |
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WOS-000442742400010.pdf | 443,87 kB | Adobe PDF | Просмотреть/Открыть |
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