Modelling Neighbourhood Satisfaction Of Residents In High-And Medium-Density Neighbourhoods Of Lagos City, Nigeria.
Using a structural equation model (SEM) and multiple linear regression (MLR), the factors influencing residents' satisfaction in high and medium density neighbourhoods of Lagos metropolitan city, Nigeria were examined. This study takes a different approach by categorizing the factors into four domai...
| Publicado en: | Pertanika Journal of Social Sciences & Humanities Vol. 23; no. 1; pp. 85 - 105 |
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| Autores principales: | , |
| Formato: | Artículo |
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Universiti Putra Malaysia
2015
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=102029719&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 102029719 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 01287702 TKQ jtl: Pertanika Journal of Social Sciences & Humanities issn: 01287702 maglogo: N pubinfo: dt: 2015 vid: 23 iid: 1 pid: 20751 pub: Universiti Putra Malaysia artinfo: ui: 102029719 ppf: 85 ppct: 20 formats: fmt: @attributes: type: P size: 3MB tig: atl: Modelling Neighbourhood Satisfaction Of Residents In High-And Medium-Density Neighbourhoods Of Lagos City, Nigeria. aug: au: Eluwa, Stephen Enyinnaya Ho Chin Siong affil: Faculty of Built Environment, Universiti Teknologi, Johor Bahru Malaysia su: Neighborhoods Satisfaction City dwellers Structural equation modeling Regression analysis Developing countries Lagos (Nigeria) sug: subj: Lagos (Nigeria) Neighborhoods Satisfaction City dwellers Structural equation modeling Regression analysis Developing countries keyword: Lagos neighbourhood satisfaction physical environment social environment structural equation model ab: Using a structural equation model (SEM) and multiple linear regression (MLR), the factors influencing residents' satisfaction in high and medium density neighbourhoods of Lagos metropolitan city, Nigeria were examined. This study takes a different approach by categorizing the factors into four domains (social environment, transportation, environmental quality, facilities). A total of239 respondents from low-income high density and 220 from medium-income medium density neighbourhoods of the city were randomly selected. The main objective of the study was to identify the predictors of neighbourhood satisfaction among the residents of the two neighbourhoods. The results showed that a significant relationship exists between the four domains and neighbourhood satisfaction of the residents. However, the model results showed some variations in the predicting power of each of the domain. The social environment (X² = 7.029, p = 0.218, GFI = 0.994, AGFI = 0.982, RMSEA = 0.030, df = 5, N = 450) had more influence on residents neighbourhood satisfaction compared to other domains. Other variables found to have significantly influenced neighbourhood satisfaction in the other domains were drainage (β = 0.29), waste management (β = 0.24), street lighting, (β = 0.23) and noise pollution (P = 0.22).The finding of the study substantiates the importance of social and physical environment factors on the well-being of urban residents in developing countries. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Pertanika Journal of Social Sciences & Humanities is the property of Universiti Putra Malaysia and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Pertanika Journal of Social Sciences & Humanities holder: Universiti Putra Malaysia dt: @attributes: year: 2015 holdings: @attributes: islocal: N |
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