Large urban agglomerations require an efficient transport system. This is important at a time when city life requires frequent trips to work, school, for shopping, recreation and rest. Unfortunately, you cannot rely on individual transport here, as this, although very convenient, quickly leads to city congestion. A good solution here is properly designed, efficient public transport. However, public transport by itself does not even guarantee good communication, it is important to have adequate changeover options and fast transport to convenient transfer points. It seems that one of the ideas that would be particularly suitable for designing public transport connections is the idea of hub and spoke, developed since the 1970s, then especially in air transport [4].

    It seems that this idea, at least in general terms, will be relatively easy to apply here. In general terms, all fast means of urban transport (metro, fast urban rail, suburban rail, high-speed trams) should be used as a kind of backbone, a structure of connections of high-speed and capacity communication hubs to which commuters are brought, and slower means of transport (buses, ordinary trams) should be used to a large extent to transport people to these communication hubs from other system components.

    In this work we propose the location of such main changeover stations using some aspects of the hub and spoke method by applying a specialized evolutionary algorithm to analyze the actual city transportation system on the basis of publicly available timetable of Warsaw Public Transport vehicles.


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    Title :

    Using the Hub and Spoke Structure to Improve the Organization of Public Transport in Warsaw


    Additional title:

    Lect. Notes in Networks, Syst.



    Conference:

    International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets ; 2022 ; Warsaw, Poland October 13, 2022 - October 14, 2022
    National Conference on Systems and Operational Research ; 2022 ; Warsaw, Poland
    October 13, 2022 - October 15, 2022



    Publication date :

    2023-10-18


    Size :

    15 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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