Customer-to-Business (C2B) crowdsourcing logistics presents a viable solution to the last-mile delivery problem in e-retailing, offering new prospects for sustainable supply chains. In response to this trend, some digital online platforms have introduced eco-friendly delivery vehicles and launched green delivery services. However, merchants on the demand side often exhibit heterogeneous environmental inclinations, significantly affecting their preferences and choices for delivery vehicle types. To address this, this paper proposes a novel dual-system design comprising two parallel and independent matching systems, aiming to accommodate merchants’ diverse preferences through a flexible supply-demand matching mechanism. We subsequently develop a supply allocation optimization model for the platform based on queuing analysis and derive the optimal driver allocation strategy that maximizes platform profitability. A key finding is that market and individual environmental awareness exert opposite effects on the platform’s optimal allocation decision. Our proposed dual-system design achieves a harmonious balance between reducing carbon emissions and enhancing profitability, resulting in a 13.3% reduction in platform carbon emissions and a 17.7% increase in profits in the baseline scenario. Interestingly, government environmental propaganda may not necessarily contribute to reducing platform carbon emissions unless complementary measures are implemented to control excessive environmental premiums associated with green delivery vehicles. Our study provides valuable insights for promoting the behavioral operations management of crowdsourcing logistics platforms.

客户对企业（C2B）众包物流为电子零售中的最后一英里交付问题提供了可行的解决方案，为可持续供应链提供了新的前景。针对这一趋势，一些数字网络平台推出了环保配送车辆，推出绿色配送服务。然而，需求方的商户往往表现出不同的环境倾向，极大地影响了他们对配送车辆类型的偏好和选择。针对这一问题，本文提出了一种新颖的双系统设计，包括两个并行且独立的匹配系统，旨在通过灵活的供需匹配机制来适应商家的多样化偏好。随后，我们基于排队分析为平台开发了供应分配优化模型，并得出了最大化平台盈利能力的最佳司机分配策略。一个重要的发现是，市场和个人的环境意识对平台的最优分配决策产生相反的影响。我们提出的双系统设计实现了减少碳排放和提高盈利能力之间的和谐平衡，在基准情景下平台碳排放减少了13.3%，利润增加了17.7%。有趣的是，政府的环境宣传不一定有助于减少平台碳排放，除非采取补充措施来控制与绿色运输工具相关的过高环境溢价。我们的研究为促进众包物流平台的行为运营管理提供了有价值的见解。