The present study focuses on the 2020 truck transportation data in India, conducting preprocessing operations on the data to construct variables such as driver experience, latitude and longitude, and seasonal time. By building a logistic regression model based on the influencing factors, this study explores the impact of various variables on truck delays. The research model reveals that whether the truck driver is a formal employee, driver experience, and transportation distance significantly affect the likelihood of delays. Finally, this study concludes with suggestions and recommendations for the development of the transportation industry in India.


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    Titel :

    Analysis of on-time arrival prediction and influencing factors of logistics trucks


    Weitere Titelangaben:

    Advances in Economics, Business and Management res.


    Beteiligte:
    Bhunia, Amalendu (Herausgeber:in) / Ahmad, Rubi Binti (Herausgeber:in) / Zhu, Yifeng (Herausgeber:in) / Xi, Xi (Autor:in)

    Kongress:

    International Conference on Finance, Trade and Business Management ; 2023 ; Kunming, China September 22, 2023 - September 24, 2023



    Erscheinungsdatum :

    2023-12-01


    Format / Umfang :

    6 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch







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