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Weather and time factors impact on online food delivery sales: a comparative analysis of three Chinese cities

  • Wang Yao
  • , Hongying Zhao
  • , Luning Liu*
  • *Corresponding author for this work
  • School of Management, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

The online food delivery industry has been rapidly growing with the advancement of mobile internet technology and mobile payments. In this context, understanding the impact of situational effects on online food delivery sales becomes crucial. This study aims to investigate the influence of weather and time factors on online food -delivery sales on a Chinese online food delivery platform over a year. The study also performs a comparative analysis of urban user groups to examine the situational effects of weather and time factors on online food delivery sales. To carry out the study, the research team collected data from platform A, a popular online food delivery platform with a long operation time, abundant user resources, and sufficient data. The meteorological data was obtained from China's Meteorological Data Network, which provides accurate weather data from various stations across the country. The study analyzed food delivery order quantity data and weather factor data from three cities, Beijing, Harbin, and Hangzhou, constituting different stages of evolution in delivering the food online in Chinese cities, and with different climatic conditions, shopping habits, and diets. The meteorological indicators considered for the study include temperature, precipitation, humidity, rainfall, snowfall, and air quality index. The findings of the study suggest that situational effects have significant impacts on online food delivery sales. Specifically, the study found that weather conditions, such as rain, snow, and air quality, and time factors, such as weekends and pre- and post-holiday periods, have a significant influence on online food delivery sales. The comparative analysis of urban user groups also revealed differences in the impact of situational effects on online food delivery sales between the three cities. Overall, this study provides valuable insights into the situational effects on online food delivery sales and can assist online food delivery platforms and businesses in making informed decisions to improve their sales and profitability.

Original languageEnglish
Pages (from-to)1425-1438
Number of pages14
JournalTheoretical and Applied Climatology
Volume153
Issue number3-4
DOIs
StatePublished - Aug 2023
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Online food delivery
  • Sales
  • Situational effects
  • Time
  • Weather

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