Modern Business Research Center, Zhejiang Gongshang University, Hangzhou 310018, China.
School of Management and E-Business, Zhejiang Gongshang University, Hangzhou 310018, China.
Int J Environ Res Public Health. 2022 Sep 2;19(17):10993. doi: 10.3390/ijerph191710993.
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.
为了解决道路货运行业配货不当和缺乏碳排放约束制度的问题，本文提出了一种带有碳税约束的网络货运订单分配机制，并建立了一个带有碳税约束的订单分配优化模型。基于问题的基本特征，重新设计了蚁群劳动分工扩展模型，并设计了相应的算法来解决问题。通过改进激励值和阈值的更新规则，扩大了网络货运平台订单与司机之间的匹配差异，并动态调整匹配关系，优化了订单分配方案，探索了该行业更合适的碳税率范围。此外，通过 0-1 整数规划算法解决了该问题，并与本文设计的算法进行了比较。通过多次数值模拟实验，验证了算法的有效性和可行性。实验结果表明，带有碳税约束的网络货运平台的订单分配安排更加经济环保。
