Twelfth international online seminar "Artificial Societies and Information Technologies"

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Agent-based modeling of online food ordering and delivery market
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Date: 
Friday, May 14, 2021
Speaker: 
Zhou He

On May 14, 2021, a meeting of the international online seminar "Artificial Societies and Information Technologies" was held, dedicated to the report by Zhou He (School of Economics and Management, University of Chinese Academy of Sciences, Beijing, China) "Agent-based modeling of online food ordering and delivery market".

 

Brief annotation:

In the booming online-to-offline (O2O) food ordering and delivery market, numerous independent restaurants are competing for orders placed by customers via online food ordering platforms. The food quality and location decisions are deemed to be the two principal considerations of restaurants in this emerging market. To investigate the evolutionary food quality and location behaviors of restaurants, we propose an agent-based O2O food ordering model that consists of three types of agents, namely customers, restaurants, and the online food ordering platform. We explicitly model their adaptive behaviors by optimizing the agents' benefits. We find that customers 'behaviors have significant impacts on the restaurants' food quality decisions. Besides, the relationship between the restaurant's location decisions and customers' waiting time is less significant in the O2O food ordering market due to the presence of an equalizing delivery service provided by the online platform. We also examine the characters of best restaurants, as well as the impacts of different delivery policies on the food quality and location decisions of restaurants.