In the bustling metropolis of Tehran, where real estate opportunities abound, a new study offers investors a data-driven approach to selecting the optimal location for property investment. Led by Saeid Karimi from the Civil Engineering and Construction Management department, the research, published in the journal ‘مهندسی و مدیریت ساخت’ (translated to English as ‘Engineering and Construction Management’), employs a fuzzy multi-criteria decision-making model to evaluate and rank different regions of Tehran based on investor perspectives.
The study, which surveyed 20 real estate experts and scholars, identified five key criteria that significantly influence investment decisions: social, cultural and economic, access and land situation, physical, and environmental standards. “Our analysis reveals that these factors are not just important; they are pivotal in shaping the investment landscape in Tehran,” Karimi explains.
Using the fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method, the research evaluated the weight of each criterion and sub-criterion, ultimately ranking the regions of Tehran. The results were clear: Zone 2 emerged as the top choice for investors, followed by Zone 5 and Zone 6.
The implications of this research are profound for the real estate sector and beyond. By providing a structured, data-backed approach to location selection, investors can make more informed decisions, potentially reducing risks and maximizing returns. “This model doesn’t just help investors; it can guide urban planners and policymakers in understanding what drives investment in different areas,” Karimi notes.
The study’s findings align with previous research, reinforcing the importance of social, cultural, and economic factors in real estate investment. As Tehran continues to grow and evolve, this model could become a vital tool for stakeholders in the construction and real estate industries.
For the energy sector, the insights gleaned from this research could also be valuable. Understanding where investments are likely to flourish can inform infrastructure planning, including energy distribution and sustainability initiatives. As cities become smarter and more interconnected, the interplay between real estate development and energy needs becomes increasingly critical.
In a rapidly changing urban landscape, this research offers a beacon of clarity for investors and planners alike. By leveraging advanced decision-making models, the future of real estate in Tehran—and cities like it—can be shaped with greater precision and foresight. As Karimi puts it, “This is just the beginning. The potential applications of this model are vast, and we’re excited to see how it will influence the future of urban development.”