Post-war cities with a legacy of socio-spatial rupture, ethnic fragmentation and chronic institutional distrust are in critical need of innovative urban planning tools. This study aims to test Gamified Spatial-Participatory Framework (GAM-SC) in four neighbourhoods of Kabul, with the objective of enhancing social cohesion and reducing spatial segregation. This study employed a rigorous sequential mixed-methods design, incorporating a survey of 450 respondents, spatial autocorrelation analysis (GIS), Partial Least Squares Structural Equation Modeling (PLS-SEM), and Agent-Based Modeling (ABM). Intervention implemented through purposeful deployment of game stations at ethnic boundaries of Dasht-e-Barchi (Hazara-dominated) and Karte-Sakhi (Tajik-dominated) neighbourhoods, with active mediation by local cultural brokers. Quantitative findings exhibited that the model significantly increased the cohesion index and reduced the fragmentation index. Furthermore, the model’s direct path on trust and the mediating role of digital participation were confirmed. Simulation also demonstrated higher resilience in intervened neighbourhoods with notable reduction in stability-recovery time. Qualitative analysis revealed four main mechanisms: the successful formation of third spaces (neutral public arenas) at ethnic boundaries; the active co-creation of shared narratives; inclusive participation via low-cost tools; and the perceptible enhancement of perceived justice through transparency. However, women’s participation was limited to 58 percent of men’s, underscoring the model’s effectiveness contingent on the socio-security context. This research, integrating three paradigms - social capital, spatial justice, and gamification - illustrates the strategic applicability potential of GAM-SC in fragile settings; yet it posits that its success hinges on the presence of trusted cultural brokers and continuous rule adaptability.