## 1 Introduction  
Recent technological advancements have significantly revolutionized the construction industry, leading to remarkable developments in construction and urban planning techniques. At the same time, the increased focus on aesthetics in urban design and projects becoming more complex at the construction site level demonstrates the industry's demand for higher standards of design and functionality. However, the scale of failed or abandoned construction projects reveals the essential need for enhanced approaches to project planning and execution [1]. In recent decades, constructability assessment has become a key concept in the management of infrastructure projects, encouraging higher levels of knowledge and techniquesthat contribute to the greater effectiveness of design and construction processes. By prioritizing constructability assessments, contractors can deliver better value for money while achieving project objectives [2]. In particular, the early phases have a great impact on the overall project costs and success [3], so each construction project should be analyzed to optimize the systems and methodologies of its construction processes. In the context of transportation infrastructure, which plays a vital role in the socioeconomic development of countries, a well-designed and efficiently constructed road and bridge network is essential for maximizing economic benefits [4]. The importance of constructability assessment is evident in several infrastructure projects, such as Nigeria's road construction project [5], where insufficient constructability analysis has led to widespread road defects, including extensive cracks and potholes that impair transportation systems [6]. Despite improvements in constructability assessment research, the development of a comprehensive constructability assessment framework remains a continuing problem. Existing approaches often lack the systematic integration of critical factors during the project life cycle, limiting their effectiveness in addressing the special specifications and requirements of individual projects. A key limitation in current practices is the lack of a practical Constructability Review Process (CRP) that enables the generation of customized decision matrices. This gap underscores the need for new decision-making methodologies that incorporate the diverse and often conflicting criteria inherent in the initiation of infrastructure projects, which typically occurs in the feasibility stage. While Decision Support Systems (DSS) and Multi-Criteria Decision Analysis (MCDA) have proven effective in addressing the complexities of construction decision-making, their application is still limited by the inability to fully account for the interdependencies among various criteria and the dynamic nature of project requirements. MCDA, as a generalized framework for tackling complex decision problems, enables decision-makers to consider multiple, conflicting criteria and facilitate trade-offs between various objectives and constraints, both quantitative and qualitative [4,7]. Recent advancements in integrated MCDA methodologies have enhanced the capacity to balance these conflicts and identify optimal solutions across a wide range of construction scenarios, particularly in large-scale infrastructure projects [8,9]. However, many of the newer MCDA methods, such as the Best-Worst Method (BWM) [10], Stepwise Weight Assessment Ratio Analysis (SWARA) [11], and Combined Compromise Solution (CoCoSo) [12], are still in their developmental stages and have not yet been widely established as reliable and validated tools for infrastructure decision-making. Through an extensive literature review followed with an online survey of stakeholders, this study introduces a practical solution toward this current challenge of CRP by identifying and ranking the most critical constructability factors. A new robust DSS framework using a hybrid MCDA methods for constructability assessment is proposed based on these insights.