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

DOI

10.2991/978-94-6463-298-9_36How to use a DOI?

Keywords

Logistics; Transport; Trucks

Abstract

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.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Xi Xi
PY  - 2023
DA  - 2023/11/30
TI  - Analysis of on-time arrival prediction and influencing factors of logistics trucks
BT  - Proceedings of the 2023 International Conference on Finance, Trade and Business Management (FTBM 2023)
PB  - Atlantis Press
SP  - 333
EP  - 338
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-298-9_36
DO  - 10.2991/978-94-6463-298-9_36
ID  - Xi2023
ER  -