Assessing sustainable housing indicators: a structural equation modeling analysis

Abstract

Purpose

The purpose of this paper is to propose the sustainable housing (SH) model for the housing of Region-one of Mashhad city in Iran.

Design/methodology/approach

Building the SH particularly increases mitigation measures as well as creates healthier environments for inhabitants by decreasing harmful environmental and physical effects. This research in terms of the target is applied research that has been done with the descriptive-analytical method. The research population is residents who live in the Region-one of Mashhad, with a statistical sample of 384 people. The responses were collected from the questionnaire, and structural equation modeling (SEM) was employed to illustrate the research SH model in AMOS software.

Findings

The findings indicate that the suitability of the housing model with meeting needs together with the quality of the health situation in housing has the most influences, and in contrast, the number of residential units with building permits besides the amount of home green space has the least influences on the sustainability of housing in the region.

Research limitations/implications

The results can offer valuable insights for helping the sustainability of housing in the studied area and similar cases, which may vary in a different context.

Originality/value

The new aspect of the study is to provide the SH model by SEM, which has not been investigated in almost all previous research. This paper makes a contribution to the understanding of the physical and environmental components that affect the sustainability of housing in Region-one of Mashhad city in Iran according to respond to the needs of both lifestyles: pilgrims-tourists and residents. The results can also contribute to housing stabilizing in other developing countries, especially the pilgrimage and tourism countries.

Citation

Nasrabadi, M.T. and Hataminejad, H. (2019), "Assessing sustainable housing indicators: a structural equation modeling analysis", Smart and Sustainable Built Environment, Vol. 8 No. 5, pp. 457-472. https://doi.org/10.1108/SASBE-01-2019-0008