Collateral effect of urban housing dynamics: a case of metropolitan cities in India

Purpose The purpose of this study is to incorporate a broader set of influencing factors. It is aimed at providing practical insights for policymakers and urban planners to help create equitable and resilient urban areas that improve the quality of life for low-income residents. Design/methodology/approach This study uses a modeling approach that integrates metropolitan open data to quantify housing expenses. This model evaluates housing affordability by incorporating 30 different criteria that impact household affordability, allowing for a more comprehensive analysis. It adopts a multidisciplinary approach, considering economic, social and environmental factors in assessing urban housing dynamics, thereby providing a holistic understanding of the complex factors that influence affordability. Findings The research shows that considering multiple factors, including accessibility costs, gives a more accurate measure of housing affordability. Applying the model to Pune reveals the complexity of affordability issues beyond just income and housing costs. The model provides valuable insights for both academic understanding and practical urban housing strategies. Originality/value The study’s originality lies in its multidisciplinary approach to provide a more holistic assessment of housing affordability. The research offers a novel method of analyzing housing affordability, which is often overlooked in traditional models. The findings hold value for urban planners and policymakers, providing them with actionable data to support equitable urban development and improved housing conditions for low-income populations.