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The purpose of this study is to examine the buyers’ preferences influencing the purchase of privately developed affordable housing in Kolkata and to determine whether unsold houses result from misalignment with these preferences.

The literature review and user-opinion survey identified 119 independent variables that indicate buyers’ preferences. A questionnaire survey of 383 households in affordable housing units from 32 housing complexes in Kolkata recorded buyers’ preferences and satisfaction against the independent variables grouped under five levels of characteristics. The product weights of variables derived from the rank sum method and percentage satisfaction give the Utility Score. Multivariate regression and univariate linear regressions were conducted to determine the significance of each Level of characteristics and each variable, identifying the significant variables that would affect the sale of affordable houses.

The multivariate regression analysis has indicated that 68.56% of the variation in the percentage of unsold houses was explained by the five utility scores, which affirms that misalignment with buyers’ preferences significantly affects the sale of privately developed affordable houses. Furthermore, building and neighbourhood-level utility show the highest significance as predictors, while city-level and miscellaneous utility have moderate significance, but housing complex-level utility lacks statistical significance.

This study addresses a research gap in privately developed affordable housing in Kolkata, enhancing understanding of buyer preferences in this segment.

This paper aims to provide an exemplary application of an indicative post-occupancy evaluation (POE) on an organizational multistorey residential apartment building.

This research comprises of mixed qualitative and quantitative approaches. The methodology commences with a review of the recent literature, identification of performance elements, conduct of walk-through, distribution and collection of users' surveys and the development of short and long-term recommendations, where an adequate sample of users were approached for conducting a focus group interview session.

The research identifies 74 performance elements that were clustered into technical, namely (thermal, acoustic and visual comforts, indoor air quality and safety and security), functional, namely (design adequacy, finishing, furnishing, fittings and equipment and building surroundings) dimensions and behavioral, namely (apartment building attributes and managerial and logistical support). The questionnaire survey aimed to solicit users' opinions upon the occupied case study residential facility.

The research identifies areas of occupants' satisfaction and dissatisfaction in a typical multistorey residential building, as a part of a community housings for a mega organization, located in Saudi Arabia. The identification of these areas serves as a lesson learned for future developments, design considerations and implications. Hence, improving the well-being and comfort of its employees.