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Decision support for management of urban transport projects

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F15%3APU115606" target="_blank" >RIV/00216305:26110/15:PU115606 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Decision support for management of urban transport projects

  • Original language description

    The planning phase within the urban-transport project management is a complex process from both the management and techno-economic aspects. The focus of this research is on decision-making processes related to the planning phase during management of urban-road infrastructure projects. The proposed concept is based on multicriteria methods and Artificial Neural Networks. The decision-support concept presented in this paper is tested on the road infrastructure of the city of Split, and it shows how urban road infrastructure planning can be improved.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20101 - Civil engineering

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2015

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    GRADEVINAR

  • ISSN

    0350-2465

  • e-ISSN

    1333-9095

  • Volume of the periodical

    neuveden

  • Issue of the periodical within the volume

    9

  • Country of publishing house

    HR - CROATIA

  • Number of pages

    11

  • Pages from-to

    131-141

  • UT code for WoS article

    000351568100003

  • EID of the result in the Scopus database