Research on Theory and Construction Path of Fresh Agricultural Products System in Megacity

For example, in megacities such as Beijing, where rail transit dominates commuting, the peak demand of urban residents for fresh agricultural products is highly uneven in time and space due to the high separation of residential centers and employment centers. As a result, the production and supply of fresh agricultural products have attracted extensive attention from researchers in recent years. Therefore, building a community-oriented intelligent fresh agricultural products distribution system, improving the level of community governance, and improving people’s well-being have become important issues faced by super-large cities. How to study the time-space mismatch mechanism between consumer demand and supply in different scenarios, so as to meet consumers’ differentiated demands for fresh products, and how to establish an efficient storage and distribution system for fresh products in communities, so as to improve the shopping experience and satisfaction of community residents are urgent problems to be solved. In view of the above scientific problems, this paper discusses a number of technical means, using space-time big data, complex networks, intelligent algorithms and other technologies to analyze consumer demand, optimize product supply and logistics distribution and other aspects to solve the problem. In particular, based on the construction of logistics information, the reliability, safety and flexibility of the storage and distribution of live products in communities are improved, so as to provide more high-quality live products supply services for community residents.