In the complex landscape of social decision making, multi-criteria decision making (MCDM) provides decision makers with a structured approach to evaluate multiple alternatives based on multiple conflicting criteria. Numerous multi-criteria group decision making (MCGDM) frameworks have been developed to engage stakeholders like citizens on a large scale and to capture their diverse preferences. Real-World Application in Construction Logistics: The framework's utility and effectiveness are empirically validated through its application in a construction logistics project. This application involved gathering preferences from residents near the construction site and using these inputs to guide policy decisions, demonstrating the framework's practical impact on urban planning and development. However, current frameworks exhibit certain limitations. In recognition of this, we present the mass-participation framework for MCGDM. This innovative framework combines data collection of criterion weights via survey with representative workshops for a more holistic evaluation of alternatives. Key features of our approach include the tailored adaptation of the Revised Simos Method for surveys, which ensures intuitive weight elicitation. In addition, we introduce a clustering algorithm rooted in priority-based K-medoids techniques and employ a comprehensive set of metrics for optimal cluster number determination. The methodology is then empirically illustrated in the context of a real-world construction logistics project. The research highlights the importance of extensive stakeholder engagement for robust and inclusive construction transport and urban planning policies. Our mass-participation framework moves beyond traditional consultation by actively involving stakeholders in decision-making, allowing them to contribute both preferences and solutions. Empirical validation in the Brussels-Capital Region involved over 150 residents, whose preferences were clustered into distinct groups based on their concerns, such as noise pollution, air quality, and traffic accessibility. The majority of stakeholders favored sustainable logistics solutions, particularly electric concrete trucks, due to their potential to reduce environmental impacts. These findings demonstrate the framework's ability to capture diverse perspectives and inform sustainable policy development.