Designing with Consequences: Mapping Cross-Impacts and Unintended Effects in Participatory Urban Regeneration

Urban regeneration processes are increasingly intertwined with participatory practices aimed at integrating local knowledge and civic engagement into design and planning decisions. However, public participation often fails to influence decision-making meaningfully or to anticipate the unintended consequences of proposed interventions. This paper presents a methodological framework developed during a participatory process for the restoration of Piazza Umberto I, a historic urban square in Bari, Southern Italy. The process was structured around seven online workshops held between March and May 2021, involving 45 registered participants and an average attendance of about 30 participants per session, including residents, civic associations, students, professionals, economic actors, and municipal representatives. Through a sequential funnel—problems, opportunities, visions, solutions, methodological principles, validation, and proposal—the process elicited and organized participants’ knowledge across five analytical domains and eight long-term vision categories: History, Nature, Education, Culture, Economy, Society, Experience, and Democracy. The validated workshop outputs were then translated into a fuzzy cognitive map and explored through cross-impact analysis to identify intended impacts, unintended effects, leverage points, and trade-offs among proposed solutions. Link weights were assigned through a semi-quantitative scale representing the direction and relative strength of influence, and a ±20% sensitivity analysis was conducted to test the robustness of the main ranking patterns. The results show that some proposals, such as ecological restoration, public art programming, and cultural or educational activation, operate as broad-spectrum leverage points, while others generate more selective effects or latent tensions, particularly between ecological preservation, economic activation, accessibility, and civic use. This paper does not propose a predictive or statistically inferential model; rather, it demonstrates how participatory knowledge can be operationalized into a transparent, exploratory, and semi-quantitative decision-support framework. By linking deliberation with systems-oriented reasoning, the study contributes to urban planning debates on participatory governance, anticipatory decision-making, and the management of unintended consequences in public-space regeneration.