This study aims to explore the circular economy concepts which are also sustainable and can be used for the 17th Sustainable Development Goals (SDGs) adopted by United Nations member countries. The study focuses on the urban mobility setting. The prioritization of the possible CE concepts for a planning authority in a big city is examined where the decision process is subject to certain restrictions such as existing natural resources, financial and human capital. A case scenario is used to illustrate the formulation and solution of the problem. The method used to solve the problem comprises two stages. First, the DIBR method (Defining Interrelationships Between Ranked criteria) is presented to determine the weights of criteria. Then second, the fuzzy Dombi based Combined Compromise Solution (D’ CoCoSo) is proposed for prioritizing the circular economy concepts for urban mobility. The proposed multi-criteria framework allows decision-makers to better perceive the relationship between the criteria, which contributes to rational reasoning and objective evaluation of alternatives. The DIBR method enables decision-makers to better perceive relationships between criteria, since it considers relations between adjacent criteria. Thus, it eliminates the problem of defining relations between remote criteria, which often decreases the consistency of results in subjective models. The results obtained for case scenario emphasize that among four alternatives “Building infrastructure for zero-emission vehicles and energy storage” should be prioritized over relatively cheaper remedies such as “Using big data solutions to optimize urban mobility systems”. In that respect, the planners are expected to be direct and long-term focused in choosing the CE concepts. The method used here can be extended for other decision-making problems of planners in achieving SDGs for urban planning.

本研究旨在探索循环经济概念，这些概念也是可持续的，可用于联合国成员国通过的第 17 个可持续发展目标 (SDG)。该研究侧重于城市交通环境。在决策过程受到某些限制（例如现有自然资源、财务和人力资本）的情况下，检查了大城市规划机构可能的 CE 概念的优先级。案例场景用于说明问题的制定和解决方案。用于解决该问题的方法包括两个阶段。首先，提出了 DIBR 方法（定义排名标准之间的相互关系）来确定标准的权重。然后第二个，提出了基于模糊 Dombi 的联合妥协解决方案 (D' CoCoSo) 来优先考虑城市交通的循环经济概念。提议的多标准框架使决策者能够更好地理解标准之间的关系，这有助于对备选方案进行理性推理和客观评估。DIBR 方法使决策者能够更好地感知标准之间的关系，因为它考虑了相邻标准之间的关系。因此，它消除了定义远程标准之间关系的问题，这通常会降低主观模型中结果的一致性。案例情景得出的结果强调，在四个备选方案中，“为零排放汽车和储能建设基础设施”应优先于“使用大数据解决方案优化城市交通系统”等相对便宜的补救措施。在这方面，规划者应该直接和长期关注选择 CE 概念。这里使用的方法可以扩展到规划者在实现城市规划可持续发展目标时的其他决策问题。