Social media data, which contains a lot of traffic-related information, has gradually become a significant data source for transportation. The information describes and records the traffic conditions and events from multiple perspectives, which play an increasingly important role in solving traffic problems. This paper analyzes the characteristics of social transportation data and shows the processes and methods of data mining based on social media. It also categorizes social transportation data and summarizes analysis methods of social transportation data based on data types, and then summarizes the application of social media data in traffic information acquisition, traffic prediction, travel analysis, and public opinion analysis. Finally, the future work of applying social media data to social transportation is proposed based on previous research.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A Review on Social Media Data for Social Transportation


    Contributors:
    Chen, Yulin (author) / Chen, Hong (author) / Liu, Lina (author) / Sun, Xiaoke (author)

    Conference:

    21st COTA International Conference of Transportation Professionals ; 2021 ; Xi’an, China


    Published in:

    CICTP 2021 ; 126-136


    Publication date :

    2021-12-14




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    A Review on Social Media Data for Social Transportation

    Chen, Yulin / Chen, Hong / Liu, Lina et al. | TIBKAT | 2021



    Big Data for Social Transportation

    Zheng, Xinhu | Online Contents | 2016


    Big Data for Social Transportation

    Zheng, Xinhu / Chen, Wei / Wang, Pu et al. | IEEE | 2016


    Transportation application of social media: Travel mode extraction

    Maghrebi, Mojtaba / Abbasi, Alireza / Waller, S. Travis | IEEE | 2016