Research on Urban End-Delivery Paths Considering the Consumer's Delivery Time Demand

Abstract

Delivery time is an increasingly important consideration in consumer behavior, and there are still some problems in the urban logistics and delivery industry in considering matching consumer demand and improving logistics and delivery efficiency to control enterprise costs. In this paper, we will construct an end delivery path model based on consumers' delivery time preference, use ALNS algorithm to analyse the distribution routes of five real communities, and conclude that the total distribution cost increases and then decreases with the increase of the number of consumers who choose value-added services. In this paper, we use scientific methods to calculate and design distribution routes to reduce distribution costs and further satisfy consumer preferences. At the same time, from the perspective of the industry management department, delivery enterprises and the consumers, three main bodies, the next development direction is proposed for different main bodies to promote the high-quality development of urban logistics and delivery market.