The Order Allocation Problem and the Algorithm of Network Freight Platform under the Constraint of Carbon Tax Policy

Changbing Jiang, Jiaming Xu, Shufang Li, Xiang Zhang () and Yao Wu
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Changbing Jiang: Modern Business Research Center, Zhejiang Gongshang University, Hangzhou 310018, China
Jiaming Xu: School of Management and E-Business, Zhejiang Gongshang University, Hangzhou 310018, China
Shufang Li: School of Accounting and Finance, Zhejiang Vocational College of Commerce, Hangzhou 310053, China
Xiang Zhang: School of Accounting and Finance, Zhejiang Vocational College of Commerce, Hangzhou 310053, China
Yao Wu: School of Management and E-Business, Zhejiang Gongshang University, Hangzhou 310018, China

IJERPH, 2022, vol. 19, issue 17, 1-27

Abstract: In order to solve the problems of improper order allocation and the lack of a carbon emission constraint system in the road freight transportation industry, this paper proposed an order allocation mechanism of network freight transportation with carbon tax constraints and established an order allocation optimization model with carbon tax constraints. Based on the basic characteristics of the problem, this paper redesigns the ant colony labor division expansion model, and designs a corresponding algorithm to solve the problem. By improving the update rules of the stimulus value and the threshold value, the matching difference between the order and the driver of the network freight platform is enlarged, and the matching relation-ship is dynamically adjusted, the order allocation scheme is optimized, and a more appropriate carbon tax rate range in this industry is explored. Furthermore, the problem is solved by a 0-1 integer programming algorithm, which is compared with the algorithm designed in this paper. Through multiple numerical simulation experiments, the effectiveness and feasibility of the algorithm are verified. The experimental results show that the order allocation arrangement of the online freight platform with carbon tax constraints is more economical and environmentally friendly.

Keywords: carbon tax; online freight; division of labor; order distribution; division of labor in ant colonies (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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