Determinants of Food-Delivery Timeliness: An Empirical Test Using Multiple Linear Regression

DOI

10.2991/978-94-6463-888-2_103How to use a DOI?

Keywords

Takeout delivery time; Multiple linear regression model; Influencing factors

Abstract

With the rapid development of the food delivery industry, delivery efficiency has become a key factor influencing user experience and platform competitiveness. This study employs a multiple linear regression model to conduct an in-depth analysis of factors affecting delivery time, aiming to provide theoretical foundations and empirical support for optimizing delivery efficiency. The research selected multiple independent variables including delivery personnel’s age, service ratings, weather conditions, order type, and vehicle type, constructing a multiple linear regression model with delivery time as the dependent variable to investigate the impact and significance of each factor on delivery duration. Data were sourced from real operational operations of an Indian food delivery platform, covering order information across different cities and time periods. The findings reveal that regional traffic conditions, average service ratings, and weather are the most significant factors affecting delivery time. Notably, there is a strong negative correlation between average service ratings and delivery time, while delivery personnel’s age shows a positive correlation with delivery time. In contrast, order type and time periods have relatively weaker impacts on delivery duration. This study not only provides data-driven insights for optimizing platform operations but also offers new perspectives and methodologies for academic research in related fields.

Copyright

© 2025 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  - Baiyang Zhang
PY  - 2025
DA  - 2025/12/03
TI  - Determinants of Food-Delivery Timeliness: An Empirical Test Using Multiple Linear Regression
BT  - Proceedings of the 2025 7th International Conference on Economic Management and Cultural Industry (ICEMCI 2025)
PB  - Atlantis Press
SP  - 1053
EP  - 1065
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-888-2_103
DO  - 10.2991/978-94-6463-888-2_103
ID  - Zhang2025
ER  -