This article aims to identify and analyze the five strategic drivers of the urban poverty system in the target neighborhoods of the study. These drivers can be effectively managed, manipulated, and tracked through the implementation of anti-poverty policies, thereby improving the overall condition of these neighborhoods. Recognizing the critical need to organize economically-focused spaces, the article seeks to reform and reconstruct the urban poverty structures in the target areas through a futures research approach. The research is applied in nature, utilizing a descriptive-analytical methodology that aligns with contemporary normative futures research practices. Following the development of a questionnaire for equilibrium analysis of interactions, a comprehensive assessment of potential states and their classifications (uncertainty scenarios) was conducted. This enabled the extraction of qualitative insights from 30 experts regarding the interrelationships within the network, facilitated by a Delphi survey and algorithmic data analysis using the CIB method in the Scenario Wizard software.Given the matrix size of 15x15, the Scenario Wizard software analyzed 3,657 combined post-scenarios based on the questionnaire data, yielding five strong or probable scenarios, 14 high-compatibility scenarios (believable scenarios), and 28 weak scenarios (possible scenarios). After expert validation, four scenarios were descriptively named: M-A, M-Sh, H-HA, and Z-S.J. Finally, by employing thematic macro-trends as technical tools for future-oriented economic interventions in the regeneration process, tailored poverty alleviation policies were formulated and proposed for each driver, presented as thematic measures based on the desired scenarios to reform the urban poverty structures of the Ahvaz metropolis.
