UTILITY ANALYSIS OF FOOD ORDERING APPS USING GIS

Abstract

According to various business reports, this has been found that India is still lagging in terms of using food ordering apps. In terms of revenue obtained from these apps, it is in 7th position with 1.3 billion dollars. This leads to the need of understanding the behavior of users towards these food ordering apps as well as the utility analysis of the app itself to deliver food faster with the assurance of the good quality of food and to increase the domain of the app. In this study, we have created a clustering model which gives us the best cluster to be displayed in the app by consuming the data of the user’s input. We have used the coordinates of the restaurants and the responses of the users for those coordinates whether the restaurant’s delivery is having any delay problem. All these things have been written in Python code which takes the input of the CSV file and does the clustering by sorting the probability of the delay in each cluster. On one hand, a model has been created. On the other hand, we have tried to use GIS software for spatial analysis of the proximity and road network density for better understanding of the locations. This analysis used the predefined algorithms available in the software. Results show that successful clustering was done and the probability of the clusters are coming out be in order. The future for this study is to Integrate various factors like delay causes, ratings and demand during peak hours to refine the results more accurately and simplistically. In addition, this can be further combined with any existing app and can be helpful to increase their utility.