Structuring a Residential Satisfaction Model for Predictive Personalization in Mass Social Housing

Victor Bunster, Waldo Bustamante

Research output: Contribution to journalArticleResearchpeer-review

2 Citations (Scopus)

Abstract

Ensuring access to quality social housing is a major challenge for developing countries. The problems of standardized mass housing are well-known. However, this type of provision is ubiquitously used for its advantages when addressing pressing shortages, often resulting in significant mismatches between the attributes of the housing and the requirements of the dwellers. This multidisciplinary study explores linkages between personalized development and residential satisfaction towards informing a mass personalization approach to social housing. In specific, it presents a model that formalizes this relationship using expectancy disconfirmation theory and field information. A housing survey was conducted in four estates located in Concepción, southern Chile, and complemented with environmental performance data generated with simulation software. The analysis of the results suggests that the relationship between occupants and providers
(i.e., personalization as a service) can influence the build-up of expectations, while the capacity of the dwellings to meet the requirements of dierent households (i.e., personalization as a product) can have a significant impact on satisfaction. These outcomes are formalized with a model that acknowledges these links at dierent stages of occupancy and, therefore, can be used to inform the personalized development of mass social housing.
Original languageEnglish
Article number3943
Number of pages30
JournalSustainability
Volume11
Issue number14
DOIs
Publication statusPublished - 2019
Externally publishedYes

Keywords

  • personalization
  • environmental performance
  • residential satisfaction
  • energy retrofitting
  • social housing

Cite this