Transportation research translates into policy recommendations to alleviate the negative environmental and social impacts of urban freight logistics. Multiple stakeholders from the public and private domain, each with different perspectives and aims, compose a local urban freight logistics system, and decide upon prioritization of such policies. Cognitive consensus or similarity regarding the conceptualization of the decision problem across stakeholders optimizes decision quality at the system level but is challenging to achieve. The aim of this paper is to provide empirical evidence of a stakeholder participation approach pursuing cognitive consensus to develop and prioritize urban freight logistics policies. Our approach involves stakeholders from the public and private domain and builds upon the Analytic Hierarchy Process, embedded in a broader action research framework that allows for iterations of the decision-making process. We provide evidence of the appropriateness of the triple bottom line perspective to conceptualize policy outcomes at a system level. We illustrate the importance of the uncovering and sharing of assumptions behind the operationalization of policies given local circumstances. Finally, we find that knowledge exchange across stakeholders causes shifts in priorities established by each stakeholder, confirming the relevance of structured stakeholder involvement in the policy-making process.

交通研究转化为政策建议，以减轻城市货运物流对环境和社会的负面影响。来自公共和私人领域的多个利益相关者，每个利益相关者都有不同的观点和目标，组成一个当地的城市货运物流系统，并决定这些政策的优先级。利益相关者之间关于决策问题概念化的认知共识或相似性优化了系统级别的决策质量，但难以实现。本文的目的是提供利益相关者参与方法的经验证据，该方法追求认知共识来制定和优先考虑城市货运物流政策。我们的方法涉及公共和私人领域的利益相关者，并建立在层次分析过程的基础上，嵌入在更广泛的行动研究框架中，允许决策过程的迭代。我们提供了三重底线视角在系统层面概念化政策结果的适当性的证据。我们说明了根据当地情况揭示和分享政策实施背后的假设的重要性。最后，我们发现利益相关者之间的知识交流会导致每个利益相关者确定的优先事项发生变化，证实了结构化的利益相关者参与决策过程的相关性。我们说明了根据当地情况揭示和分享政策实施背后的假设的重要性。最后，我们发现利益相关者之间的知识交流会导致每个利益相关者确定的优先事项发生变化，证实了结构化的利益相关者参与决策过程的相关性。我们说明了根据当地情况揭示和分享政策实施背后的假设的重要性。最后，我们发现利益相关者之间的知识交流会导致每个利益相关者确定的优先事项发生变化，证实了结构化的利益相关者参与决策过程的相关性。