POST OCCUPANCY EVALUATION (POE): A TOOL TO INVESTIGATE THE RESIDENTS’ SATISFACTION AND PERFORMANCE OF HOUSING PROJECT, CASE STUDY – KANHAPUR, INDIA
Journal: INTERNATIONAL JOURNAL OF ENGINEERING TECHNOLOGIES AND MANAGEMENT RESEARCH (Vol.8, No. 10)Publication Date: 2021-10-13
Authors : Anamika Jiwane;
Page : 1-15
Keywords : Post-Occupancy Evaluation; Occupants’ Satisfaction; Housing Quality Indicators; Residential Satisfaction Factors; Sustainable Planning; Participation;
Abstract
In developing countries like India, very less research has been conducted on the Post Occupancy Evaluation (POE) of rural housing projects. This research aims to investigate the performance of an Eco-Village at Kanhapur, India which was designed by the Centre of Science for Villages. Research investigation was based on the occupants' views on the physical condition of their housing units and neighborhood spaces. The study aided to determine the occupants' housing satisfaction and thus evaluate the housing quality in the rural housing projects. The results revealed that, CSV, failed in achieving the residential satisfaction and the model of Eco-village collapsed. The housing project could offer them the shelter, but not the livable conditions on account of multiple reasons discussed in the paper. CSV never came back to the community to take the feedback on their living conditions and problems even after 10 years of occupancy. The study of this eco village led to the conclusion that POE can be utilized as a powerful tool to diagnose the residential satisfaction and thereby investigate the loopholes in the performance of housing projects.
Other Latest Articles
- COMPARISON OF PROJECT PLANNING & SCHEDULING SOFTWARE’S PRIMAVERA AND MICROSOFT PROJECT USED IN THE CONSTRUCTION INDUSTRY
- ONLINE EDUCATION IN THE TIME OF COVID-19 CRISIS
- DEVELOPING COMPREHENSIVE ASSESSMENT AND MONITORING PARAMETRES FOR LANDS IN SMALL TOWNS – FOCUS ON OBUDU TOWN, CROSS RIVER REGION, NIGERIA
- ANALYSIS DETERMINANT OF DIVIDEND PAYOUT RATIO AND ITS IMPACT TO THE FIRM VALUE (EMPIRICAL STUDY ON FOOD AND BEVERAGE INDUSTRY ISSUER 2016-2019)
- HYPERSPECTRAL IMAGE CLASSIFICATION BASED ON MANIFOLD DATA ANALYSIS AND SPARSE SUBSPACE PROJECTION
Last modified: 2021-11-13 17:43:31