Title: Optimising Housing Prices in a Multi-Stakeholder Environment
Brief Note:
The housing market is influenced by numerous stakeholders, diverse demand patterns, and complex
environmental factors. This project aims to develop a linear programming model to predict housing prices
by considering India's unique market dynamics, regulatory landscape, social fabric, and environmental
complexities.
Stakeholders:
● Home Buyers & Sellers: Including diverse income groups, age demographics, and housing
preferences.
● Developers & Builders: Focus on profitability, compliance, and customer needs.
● Financial Institutions: Banks, NBFCs, and microfinance institutions catering to different buyer
segments.
● Government & Regulatory Authorities: Central and state bodies enforcing regulations and
promoting housing.
● Real Estate Agents & Brokers: Facilitators of transactions, influencing price negotiation.
Market Dynamics:
● Supply Chain: Planning, construction, renovation, listing, regulatory compliance.
● Demand Dynamics: Affordability, buyer preferences, urbanization trends, rural housing needs.
● Financing & Mortgages: Interest rates, credit availability, government subsidies.
● Investment & Speculation: Impact of investors and speculative buying.
Cultural & Societal Factors:
● Family Needs: Size, structure, generational living.
● Religious & Cultural Considerations: Proximity to places of worship, community composition.
● Lifestyle Preferences: Urban vs. rural living, proximity to workplaces, schools, healthcare.
Economic & Environmental Complexities:
● Economic Indicators: GDP, inflation, employment rates, disposable income.
● Regional Development: Infrastructure growth, transportation, urban planning.
● Seasonal & Market Trends: Festive seasons, real estate cycles, historical price trends.
● External Shocks: Natural disasters, economic crises, policy changes.
● Sustainability & Green Building: Environmental regulations, energy efficiency, sustainable
materials.
Regulatory & Legal Considerations:
● Property Rights & Land Titles: Ownership, transfer, inheritance laws.
● Zoning & Building Regulations: Compliance with municipal codes, land use policies.
● Taxation & Incentives: Impact of GST, property tax, incentives for affordable housing.
Factors Affecting Pricing:
● Property Features: Age, condition, layout, architecture.
● Location & Neighborhood: Safety, amenities, transportation, community engagement.
● Financing Options: Loan availability, government subsidies, developer financing.
Summary:
This project embodies the multifaceted nature of India's housing market by considering a wide spectrum of
influences that converge to determine housing prices. From the cultural fabric and societal norms to
regional economic landscapes and legal frameworks, this endeavor aims to capture India's housing market
complexity within an optimization model. Through this robust and culturally tailored approach, we seek to
create an insightful tool for various stakeholders, ensuring a more transparent and informed housing
market.
Submitted by : Puneet Vishnawat, Swetha Harish, Suyash Upadhyay, Tabish Iqbal and Tanya Mangath