Open AccessRoute Selection and Distribution Cost of Express Delivery: An Urban Metro Network Based Study
Author(s) -
Junhua Guo,
Yutao Ye,
Yafeng Ma
Publication year - 2021
Publication title -
promet
Language(s) - English
Resource type - Journals
eISSN - 1848-4069
pISSN - 0353-5320
DOI - 10.7307/ptt.v33i2.3592
Subject(s) - selection (genetic algorithm) , computer science , transport engineering , integer programming , mode (computer interface) , distribution (mathematics) , genetic algorithm , operations research , metro station , mathematical optimization , computer network , engineering , mathematics , algorithm , artificial intelligence , mathematical analysis , machine learning , operating system
Route selection and distribution costs of express delivery based on the urban metro network, referred to as metro express delivery (MeD), is addressed in this study. Considering the characteristics of express delivery transportation and the complexity of the urban metro network, three distribution modes of different time periods are proposed and a strict integrated integer linear programming model is developed to minimize total distribution costs. To effectively solve the optimal problem, a standard genetic algorithm was improved and designed. Finally, the Ningbo subway network is used as an example to confirm the practicability and effectiveness of the model and algorithm. The results show that when the distribution number of express delivery packages is 1980, the three different MeD modes can reduce transportation costs by 40.5%, 62.0%, and 59.0%, respectively. The results of the case analysis will help guide express companies to collaborate with the urban metro network and choose the corresponding delivery mode according to the number of express deliveries required.