Comprehensive characterization and scientific prediction of urban rail transit passenger flow plays a very important role in the process of urban rail transit planning, construction and management operation. This study combines social media data to characterize urban rail transit passenger flow under the influence of different social events, and achieves a comprehensive characterization of rail transit passenger flow and scientific prediction of passenger flow.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Rail Passenger Flow Prediction Combining Social Media Data for Rail Passenger


    Additional title:

    Lecture Notes in Operations res.


    Contributors:
    Shi, Xianliang (editor) / Bohács, Gábor (editor) / Ma, Yixuan (editor) / Gong, Daqing (editor) / Shang, Xiaopu (editor) / Shen, Jiren (author)

    Published in:

    LISS 2021 ; Chapter : 59 ; 672-681


    Publication date :

    2022-01-28


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Passenger Rail

    Online Contents | 2001


    Passenger rail privatisation

    British Library Conference Proceedings | 1996


    Passenger Rail Guide

    Online Contents | 2013



    RA passenger rail guide

    Bowen, Douglas John | IuD Bahn | 2013