Regression model for residential satisfaction in low-income group public housing in Lucknow, India
by Supriya Kumari; Ajay Kumar; Ravish Kumar
International Journal of Indian Culture and Business Management (IJICBM), Vol. 30, No. 4, 2023

Abstract: This paper aims to assess the residential satisfaction of low-income group (LIG) public housing residents of Lucknow, India. This study mainly focuses on 38 sub-parameters grouped under six parameters, namely dwelling unit features (DUF), dwelling unit support services (DUSS), level of operation and maintenance (LOM), public facilities (PF), social environment (SE), and neighbourhood facilities (NF) of overall residential satisfaction (ORS). This study used data from a questionnaire survey. The results were gathered through descriptive and regression analysis. The results suggest that PPH and APH residents are satisfied with DUF, PF, SE, NF, and ORS, and that APH residents are additionally satisfied with DUSS and LOM. Pearson's correlation analysis reveals that all sub-parameters are positively correlated, with few exceptions such as street maintenance, garbage disposal, and distance to school, public transport, and fire stations. A multiple linear regression model has been used to estimate the impacts of each parameter and sub-parameter of residential satisfaction. This is the first study on the residential satisfaction model for LIG public housing in Lucknow.

Online publication date: Mon, 22-Jan-2024

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Indian Culture and Business Management (IJICBM):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com