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

Xi Xi ()
Additional contact information
Xi Xi: Quanshan District National Pipe Network Storage and Transportation Co., LTD

A chapter in Proceedings of the 2023 International Conference on Finance, Trade and Business Management (FTBM 2023), 2023, pp 333-338 from Springer

Abstract: 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.

Keywords: Logistics; Transport; Trucks (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-298-9_36

Ordering information: This item can be ordered from
http://www.springer.com/9789464632989

DOI: 10.2991/978-94-6463-298-9_36

Access Statistics for this chapter

More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().