Interlinking <scp>SDGs</scp> and Cittaslow Criteria for Sustainable Local Decision Priorization: A Parsimonious Fuzzy Best‐Worst Method

ABSTRACT Despite extensive research, a disconnect persists between theoretical sustainability models and their practical application at the local level. The literature lacks a structured methodology to help local decision‐makers effectively prioritize sustainability objectives. To bridge this gap, this research employs the Cittaslow framework as a localized lens through which Sustainable Development Goals can be operationalized. By providing a novel local perspective, we adopt 61 Cittaslow criteria as targets for 17 SDGs by employing the Parsimonious Fuzzy Best‐Worst Method. The results suggest that the highest prioritized SDGs are SDG11, SDG12, and SDG9 to promote sustainable urban development, while the top Cittaslow criteria are purification of sewage disposal, planning for urban resilience, and drinking water consumption of residents. Accordingly, the results reveal that SDG6, which is linked to clean water and sanitation for the sustainable development of cities, appears to be a vital SDG for sustainable urban development, considering the ranking prioritizing the Cittaslow criteria, though SDG6 is not among the SDGs with the highest weight in the ranking of SDGs without linking to the Cittaslow criteria. Integrating Cittaslow criteria, such as water resource management and sustainable infrastructure, will enhance city resilience, improve quality of life, and foster responsible consumption. By aligning Cittaslow criteria with SDGs, this exploratory framework suggests that municipalities can create more locally tailored strategies, ensuring greater impact on urban sustainability.