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Passenger intensity prediction as a tool for effective management of regional rail transport

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F24%3A00384089" target="_blank" >RIV/68407700:21260/24:00384089 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.stumejournals.com" target="_blank" >http://www.stumejournals.com</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Passenger intensity prediction as a tool for effective management of regional rail transport

  • Original language description

    Regional rail transport is a key part of the transport process, and its importance is growing every year. Suburban rail forms the backbone of the regional transport system and is widely regarded as a sustainable form of mobility with societal benefits. On the other hand, the costs associated with operating rail transport are significant and it is essential to design cost-effective and efficient transport solutions. This paper takes a closer look at the prediction of passenger volumes and the associated options for effective management of regional rail transport when travel demand is known. A practical application is developed in the conditions of suburban rail transport in the vicinity of Ostrava in the Czech Republic. It analyses the available data on transport supply and travel demand of which passengers can be assigned to specific directions and time slots in relation to daily and weekly variations of travel demand. Based on the data provided, a model for assigning passengers with respect to public transpo

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>ost</sub> - Miscellaneous article in a specialist periodical

  • CEP classification

  • OECD FORD branch

    20104 - Transport engineering

Result continuities

  • Project

  • Continuities

    N - Vyzkumna aktivita podporovana z neverejnych zdroju

Others

  • Publication year

    2024

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    trans & MOTAUTO WORLD

  • ISSN

    2367-8399

  • e-ISSN

  • Volume of the periodical

    IX

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    BG - BULGARIA

  • Number of pages

    4

  • Pages from-to

    20-23

  • UT code for WoS article

  • EID of the result in the Scopus database