An intelligent model of green urban distribution in the blockchain environment

Li, Y., Lim, M. K. and Wang, C. (2022) An intelligent model of green urban distribution in the blockchain environment. Resources, Conservation and Recycling, 176, 105925. (doi: 10.1016/j.resconrec.2021.105925)

Abstract

Recently, with the deterioration of the environment, increasing companies choose horizontal cooperation to achieve the goal of reducing environmental pollution and cost in the urban distribution industry. However, companies worry that the business information is leaked in the process of horizontal cooperation. This kind of mistrust often leads to the failure of horizontal cooperation. The emergence of blockchain technology has become a great means to resolve trust problem between partners, which ensures data sharing and trust through peer-to-peer, consensus mechanism and encryption technology. In response, this study proposes architecture of blockchain-based urban distribution system for horizontal cooperation that analyzes the components and layers of the urban distribution. Meanwhile, a smart contract, the innovative applications of blockchain, is designed to match the resource of supply and demand to design the distribution routes in the urban distribution system. To achieve the above goal, an open vehicle routing model of urban distribution taking into account environmental pollution factors is developed as the mathematical logic of smart contract, which aims at the lowest total cost including fixed, fuel, penalty, carbon emission and pollutant emission costs. Furthermore, the genetic algorithm is developed to support the implementation of smart contract, and the effectiveness of the smart contract is verified through a real case. This study narrows the knowledge gap in applying blockchain technology to urban distribution, and has brought contributions to the fields of blockchain and urban distribution. Finally, the limitation and future research direction are discussed.

• Item Type: Articles
• Additional Information: This research is funded by the Chongqing Science and Technology Commission (Project no. cstc2019jscx-msxmX0189) and National Natural Science Foundation of China (72071006).
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Lim, Professor Ming

Creator Roles

Lim, M. K.: Conceptualization, Methodology, Validation, Writing – review and editing

• Authors: Li, Y., Lim, M. K., and Wang, C.
• College/School: College of Social Sciences > Adam Smith Business School > Management
• Journal Name: Resources, Conservation and Recycling
• Publisher: Elsevier
• ISSN: 0921-3449
• ISSN (Online): 1879-0658
• Published Online: 21 September 2021
• Copyright Holders: Copyright © 2021 Elsevier B.V.
• First Published: First published in Resources, Conservation and Recycling 176: 105925
• Publisher Policy: Reproduced in accordance with the publisher copyright policy