Inefficient urban fabrics cause many problems but also hold strong potential for urban infill development. Urban regeneration seeks to address these issues by reclaiming deteriorated elements within existing fabrics while preserving core spatial characteristics, thereby creating new urban space. This study uses an analytical-descriptive approach with evaluative and applied aims. Data were collected via library research and surveys. Given the problem and goals, the study proposes a neighborhood-scale framework for dilapidated contexts, anchored to extracted dimensions and indicators that define variables and measures for evaluating the social effects of the regeneration plan.A total of 382 questionnaires with items structured on a Likert scale were drafted by the researcher as a sample drawn using Cochran’s formula for a 95% confidence level, administered in a non-random manner aligned with the average population of Istanbul’s Tarlabaşı neighborhood in Beyoğlu. Simple random sampling was employed for variable evaluation. Ultimately, 345 questionnaires were completed. SPSS analysis showed a Cronbach’s alpha of 0.971 for 79 subsamples, indicating high reliability. Validity was confirmed by experts in inefficient urban fabric and social sciences via a pre-test using the Analytic Hierarchy Process (AHP) to determine the relative importance of components affecting urban decay. Results indicate that social changes scored the highest (39.67) among dimensions in the Tarlabaşı neighborhood, followed by cultural changes (33.33) and economic changes (30.83). The findings underscore that urban regeneration is a long-term process requiring strategic, sustainable thinking; a sole focus on physical improvements is insufficient to resolve deep-seated economic, social, and environmental problems, and financial program time constraints threaten continuity. For future work, the study suggests examining correlations among influential indicators and quantifying interdependencies to understand their degrees of influence.