Analysis of Influencing Factors of Food Delivery Time

— Based on Big Data from the Zomato Platform

DOI

10.2991/978-94-6463-888-2_86How to use a DOI?

Keywords

Distribution Time Optimization; Personal and External Environmental Impact; Characteristic Interaction Effect; Real-Time Logistics Distribution

Abstract

This study examines 41,944 food delivery orders from major Indian cities using Ordinary Least Squares (OLS) regression to determine the factors influencing delivery times. Key findings are as follows: (1) Distance has nonlinear effects—delivery time increases by 11.01 minutes when the distance surpasses 5 km. Traffic congestion and adverse weather conditions significantly affect delivery efficiency. Interestingly, not all peak hours result in delays: foggy mornings during the morning rush hour reduce delivery time by 5 minutes, whereas the evening rush hour under similar conditions prolongs it by 2.75 minutes. (2) The interaction terms uncover a counterintuitive trend: older riders exhibit enhanced task efficiency, decreasing delivery time per order by 0.06 minutes. Electric scooters particularly outperform in harsh weather—cutting delivery time by 1.46 minutes during sandstorms. The study suggests a tripartite collaborative decision-making framework that includes platforms, governments, and society to optimize resource allocation. It recommends restructuring platform dispatch mechanisms to create new avenues for optimizing resource distribution in instant logistics and emergency delivery scenarios.

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  - Xu Chang
PY  - 2025
DA  - 2025/12/03
TI  - Analysis of Influencing Factors of Food Delivery Time
BT  - Proceedings of the 2025 7th International Conference on Economic Management and Cultural Industry (ICEMCI 2025)
PB  - Atlantis Press
SP  - 878
EP  - 889
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-888-2_86
DO  - 10.2991/978-94-6463-888-2_86
ID  - Chang2025
ER  -