In order to solve the collaborative service problem existing in urban multi-modes passenger transport system, an evaluation method on level of collaborative service of urban multi-mode integrated passenger transport system based on mass individual trip chains with each evaluation level was proposed. 14 index which could comprehensively reflect the efficiency and convenience during the mass individual trips were selected from three perspectives of hot spots with collaborative service problems, connecting coordination of routes, and supply and demand balance of passenger net. The evaluation index system of level of collaborative service of urban multi-mode integrated passenger transport system was reconstructed aiming at mining problems. Based on nearly 16 million valid individual trip chain on Beijing recognized from the China Unicom mobile phone signaling data, the service hot spots with the problems of shuttle, transfer, and difficulty for taking taxi were recognized, the stability and the influence on the residents travel route choice were mined, and the status of supply and demand balance which is equal or more of the comprehensive passenger transport net in Beijing was preliminary judged. It provides theoretical basis and technical support for the improvement of the integrated coordinated operation efficiency and level of service of the urban passenger transport system.


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    Titel :

    Research on Collaborative Service Problem Diagnosis of Urban Multi-mode Passenger Transport System Based on Trip Chain


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Zhang, Zhenyuan (Herausgeber:in) / Zhao, Lin (Autor:in) / Liu, Dongmei (Autor:in) / Zhang, Jinquan (Autor:in)

    Kongress:

    International Conference on Intelligent Transportation Engineering ; 2021 ; Beijing, China October 29, 2021 - October 31, 2021



    Erscheinungsdatum :

    01.06.2022


    Format / Umfang :

    16 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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