Impacts of road network connectivity on quality of in abuja city

Development of well-connected road network to guarantee quality living in cities is a major concern in the current era. Efforts have been made to establish the underlying relation between road network and societal well-being. However, the causal relationship remains poorly understood due to inabilit...

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Main Author:	Tini, Nuhu Honney
Format:	Thesis
Language:	English
Published:	2018
Subjects:	NA Architecture
Online Access:	http://eprints.utm.my/id/eprint/81724/1/NuhuHonneyTiniPFAB2018.pdf
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id	my-utm-ep.81724
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spelling	my-utm-ep.817242019-09-22T07:27:34Z Impacts of road network connectivity on quality of in abuja city 2018 Tini, Nuhu Honney NA Architecture Development of well-connected road network to guarantee quality living in cities is a major concern in the current era. Efforts have been made to establish the underlying relation between road network and societal well-being. However, the causal relationship remains poorly understood due to inability to consider personal quality of life in the appraisal technique. This research introduces a novel model with multidimensional analytical approach for empirical exploration of road connectivity impact on quality of life (QOL) in Abuja City, Nigeria. Forty planning districts were used as spatial units for road network analysis. QOL survey data were generated from 367 respondents in the 15 sampled districts. Graph theory metrics comprising alpha, beta, cyclomatic number, eta, gamma and aggregate transportation score (ATS) indices were applied to determine the connectivity of road networks. Exploratory factor analysis (EFA) was used to examine the components of road connectivity and quality of life indicators for the model development. Structural equation modelling (SEM) was applied for confirmatory factor analysis (CFA) to determine the model fitness between the components of road connectivity and the latent indicators of quality of life. Weighted average score (WAS) and analysis of variance (ANOVA) were used to compare the quality of life among the districts with different levels of road connectivity. Finding revealed that most districts (60%) have low road connectivity (6.66 – 46.23 ATS). About 22.5% of the districts have moderate connectivity (51.04 – 91.00 ATS), while 17.5% districts have high road connectivity (100.98 – 146.13 ATS). Factor analysis affirmed that four connectivity components, six latent factors and 26 observable factors were fit for model development. The structural equation modelling showed high factor loading (R2 = 0.66), implying that road connectivity components explained 66% of QOL. Path coefficient was 0.81, indicating that every one unit increase in connectivity, contributes 0.81 unit increase in QOL. Analysis of variance showed a statistical significant difference in quality of life at < .05 level between low and high connected districts. However, quality of life slightly varied between the moderate and low connected districts as well as between the moderate and high connected districts. Overall, the results of this research have contributed by revealing how road connectivity empirically affects QOL. Hence, the study suggests a multidimensional model that can be employed in future analyses. The model would be useful to researchers, planners and engineers for examining the impact of transportation network on societal quality of life. 2018 Thesis http://eprints.utm.my/id/eprint/81724/ http://eprints.utm.my/id/eprint/81724/1/NuhuHonneyTiniPFAB2018.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:126527 phd doctoral Universiti Teknologi Malaysia Built Environment
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	NA Architecture
spellingShingle	NA Architecture Tini, Nuhu Honney Impacts of road network connectivity on quality of in abuja city
description	Development of well-connected road network to guarantee quality living in cities is a major concern in the current era. Efforts have been made to establish the underlying relation between road network and societal well-being. However, the causal relationship remains poorly understood due to inability to consider personal quality of life in the appraisal technique. This research introduces a novel model with multidimensional analytical approach for empirical exploration of road connectivity impact on quality of life (QOL) in Abuja City, Nigeria. Forty planning districts were used as spatial units for road network analysis. QOL survey data were generated from 367 respondents in the 15 sampled districts. Graph theory metrics comprising alpha, beta, cyclomatic number, eta, gamma and aggregate transportation score (ATS) indices were applied to determine the connectivity of road networks. Exploratory factor analysis (EFA) was used to examine the components of road connectivity and quality of life indicators for the model development. Structural equation modelling (SEM) was applied for confirmatory factor analysis (CFA) to determine the model fitness between the components of road connectivity and the latent indicators of quality of life. Weighted average score (WAS) and analysis of variance (ANOVA) were used to compare the quality of life among the districts with different levels of road connectivity. Finding revealed that most districts (60%) have low road connectivity (6.66 – 46.23 ATS). About 22.5% of the districts have moderate connectivity (51.04 – 91.00 ATS), while 17.5% districts have high road connectivity (100.98 – 146.13 ATS). Factor analysis affirmed that four connectivity components, six latent factors and 26 observable factors were fit for model development. The structural equation modelling showed high factor loading (R2 = 0.66), implying that road connectivity components explained 66% of QOL. Path coefficient was 0.81, indicating that every one unit increase in connectivity, contributes 0.81 unit increase in QOL. Analysis of variance showed a statistical significant difference in quality of life at < .05 level between low and high connected districts. However, quality of life slightly varied between the moderate and low connected districts as well as between the moderate and high connected districts. Overall, the results of this research have contributed by revealing how road connectivity empirically affects QOL. Hence, the study suggests a multidimensional model that can be employed in future analyses. The model would be useful to researchers, planners and engineers for examining the impact of transportation network on societal quality of life.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Tini, Nuhu Honney
author_facet	Tini, Nuhu Honney
author_sort	Tini, Nuhu Honney
title	Impacts of road network connectivity on quality of in abuja city
title_short	Impacts of road network connectivity on quality of in abuja city
title_full	Impacts of road network connectivity on quality of in abuja city
title_fullStr	Impacts of road network connectivity on quality of in abuja city
title_full_unstemmed	Impacts of road network connectivity on quality of in abuja city
title_sort	impacts of road network connectivity on quality of in abuja city
granting_institution	Universiti Teknologi Malaysia
granting_department	Built Environment
publishDate	2018
url	http://eprints.utm.my/id/eprint/81724/1/NuhuHonneyTiniPFAB2018.pdf
_version_	1747818398545346560

Impacts of road network connectivity on quality of in abuja city

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