With the rapid economic growth and urbanization in China, the demand for urban residents to travel continues to grow, and most cities in China have started to give priority to the development of urban public transportation. More complex residents’ travel makes a series of problems such as congestion in stations and carriages, and unbalanced passenger flow between stations, which gradually become prominent. To fully grasp the travel characteristics of passengers is an inevitable requirement to understand the passenger flow. Therefore, this research starts from the travel chain of passengers, explores the travel pattern of rail transit passengers at collective and individual levels by mining the smart card data of subway passengers, then defines and portrays the passenger portrait indexes, calculates and analyzes the correlation between the spatial and temporal elements of passenger travel, including travel date, time periods, travel OD and so on, and finally compares the travel characteristics of commuters and non-commuters.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Rail Transit Passenger Trip Correlation Analysis Based on Travel Chain—Taking Guangzhou as an Example


    Weitere Titelangaben:

    Mechan. Machine Science


    Beteiligte:
    Li, Shaofan (Herausgeber:in) / Yu, Zhitian (Autor:in) / Zou, Liang (Autor:in) / He, Minhui (Autor:in)

    Kongress:

    International Conference on Computational & Experimental Engineering and Sciences ; 2023 ; Shenzhen, China May 26, 2023 - May 29, 2023



    Erscheinungsdatum :

    2024-01-25


    Format / Umfang :

    16 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Passenger flow characteristic analysis system based on urban rail transit travel big data

    BI HONGXUE / DU LINGXIA / LI FUSHENG et al. | Europäisches Patentamt | 2022

    Freier Zugriff

    Research on the Rail Transit Station Spacing Based on Passenger Travel Choice

    Dai, Q.Q. / Li, Y.F. / Wang, F. et al. | British Library Conference Proceedings | 2011


    Resilience analysis of an urban rail transit for the passenger travel service

    Ma, Zhiao / Yang, Xin / Shang, Wenlong et al. | Elsevier | 2024


    Research on the Rail Transit Station Spacing Based on Passenger Travel Choice

    Dai, Qi Qi ;Li, Yuan Fu ;Wang, Fang | Trans Tech Publications | 2011


    Research on Travel Route Recommendation of Urban Rail Transit Based on Passenger Portrait

    He, Jie / Qin, Yong / Sun, Xuan et al. | Springer Verlag | 2024