Hessam Youneszadeh - Department of Civil and Environmental Engineering, Amirkabir University of Technology (Tehran Polytechnic), Iran
Abdollah Ardeshir - Department of Civil and Environmental Engineering, Amirkabir University of Technology (Tehran Polytechnic), Iran
Mohammad Hassan Sebt - Department of Civil and Environmental Engineering, Amirkabir University of Technology (Tehran Polytechnic), Iran

Population growth and increasing trend towards urbanization have caused housing demand to exceed its supply,particularly in urban areas in developing countries. Furthermore, housing industry motivates many subsidiary industriesand plays a leading socio-economic role in such countries. Therefore, successful completion of housing projects is ofgreat significance quantitatively and qualitatively.This study aims to propose a framework to evaluate the critical success factors (CSFs) in housing projects consideringthe interrelationship among factors and criteria. The factors were initially identified through literature review and thenrefined and categorized using a two-round Delphi method and finally prioritized using fuzzy analytic network process(FANP). To demonstrate the implementation of the proposed model, a case study was carried out on an urban residentialbuilding project in Tehran. The framework proposed in this study can be applied as a decision support system for decisionmakers, project managers and practitioners involved in the housing sector.

Project Management; Critical Success Factors; Housing; Building Projects; Fuzzy ANP