Statistical Analysis of Urban Quality of Life (Case Study: Hawassa Town, SNNP Region, Ethiopia)

Natnael Mamuye; Bute Gotu

doi:doi:10.11648/j.ajtas.20150406.26

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Statistical Analysis of Urban Quality of Life (Case Study: Hawassa Town, SNNP Region, Ethiopia)

Natnael Mamuye, Bute Gotu

Published in American Journal of Theoretical and Applied Statistics (Volume 4, Issue 6)

Received: 14 October 2015 Accepted: 26 October 2015 Published: 19 November 2015

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Abstract

The study on Quality of life in the cities of both developing and developed countries is gaining interest from a variety of disciplines and is becoming an important tool for policy evaluation, rating of cities, urban planning and management. Cities are the center of economy, politics, commerce and other activities, so it is necessary to analyze the conditions that contribute to the quality of urban life. This study is on urban quality of life of the residents in Hawassa city and its main purpose is to identify the factors that may affect the quality of life of Hawassa residents. For the study a cross sectional data from 570 heads of household which were selected based on stratified random sampling by making the seven sub cities in Hawassa as stratum was collected. Statistical methods such as descriptive statistics, factor analysis and binary logistic regression are used to analyze the data in the study. The principal component analysis revealed that six factors (dimensions) of quality of life were extracted from twenty subjective attributes and all of the factor scores are positively and significantly related to quality of life. Factor analysis also extracts six factors using fifteen objective attributes. Housing, length of residence, economic status, distance from educational center and religious place all have statistically significant impact on people’s quality of life in Hawassa. But access to public service is not significant predictor of quality of life of the residents in Hawassa. Housing, economic condition, environment, neighborhood safety and security, social connectedness and quality of public service are identified as dimensions of subjective quality of life of the residents in Hawassa. The paper also conclude that socio-economic affairs, access to public service, access to education, housing, access to religious place and length of residency are found to be the dimensions of the objective quality of life of the residents in Hawassa.

Published in	American Journal of Theoretical and Applied Statistics (Volume 4, Issue 6)
DOI	10.11648/j.ajtas.20150406.26
Page(s)	547-554
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

Quality of Life, Subjective, Objective, Logistic Regression, Hawassa

References

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[5]	Aklilu Kidanu and Dessalegne Rahmato: Listening to the Poor. AA: FSS; 2000.
[6]	Aweke Abebaw: Statistical Analysis of Health Related Quality of Life of HIV Patients on ART in Hawassa University Referral Hospital: A Comparative Study to the General Population. M.Sc. Thesis, Department of Mathematical and Physical Sciences, Hawassa University, Hawassa, Ethiopia; 2010.
[7]	Abinet Alemayehu, Assefa Getachew, and Alemu Tadesse: Hawassa City Administration: 2002 Socio-economic Profile. Hawassa, Ethiopia; 2002.
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[10]	Ibrahim,M. Chung,W: Quality of life of residents living near industrial states in singapore. Social Indicators Research, 61:207-225; 2003.
[11]	Matjoba S, Iman A, Amin M, Aram K, Ayda A: Analysis of subjective indicators of Quality of life in urban areas of Iran. Journals of research in humanities and social science, 3:39-46; 2015
[12]	Akram,A. Hojjat A, and Hossein G.: Analysis urban life quality, case study residents of Rostamabad City. American Journal of Engineering Research (AJER),3:322-329; 2014
[13]	Carlos, M.: Quality of Life in Urban Neighborhoods in Colombia: The Cases of Bogotá and Medellín, Colombia; 2008.
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APA Style

Natnael Mamuye, Bute Gotu. (2015). Statistical Analysis of Urban Quality of Life (Case Study: Hawassa Town, SNNP Region, Ethiopia). American Journal of Theoretical and Applied Statistics, 4(6), 547-554. https://doi.org/10.11648/j.ajtas.20150406.26

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ACS Style

Natnael Mamuye; Bute Gotu. Statistical Analysis of Urban Quality of Life (Case Study: Hawassa Town, SNNP Region, Ethiopia). Am. J. Theor. Appl. Stat. 2015, 4(6), 547-554. doi: 10.11648/j.ajtas.20150406.26

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Natnael Mamuye, Bute Gotu. Statistical Analysis of Urban Quality of Life (Case Study: Hawassa Town, SNNP Region, Ethiopia). Am J Theor Appl Stat. 2015;4(6):547-554. doi: 10.11648/j.ajtas.20150406.26

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@article{10.11648/j.ajtas.20150406.26,
  author = {Natnael Mamuye and Bute Gotu},
  title = {Statistical Analysis of Urban Quality of Life (Case Study: Hawassa Town, SNNP Region, Ethiopia)},
  journal = {American Journal of Theoretical and Applied Statistics},
  volume = {4},
  number = {6},
  pages = {547-554},
  doi = {10.11648/j.ajtas.20150406.26},
  url = {https://doi.org/10.11648/j.ajtas.20150406.26},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20150406.26},
  abstract = {The study on Quality of life in the cities of both developing and developed countries is gaining interest from a variety of disciplines and is becoming an important tool for policy evaluation, rating of cities, urban planning and management. Cities are the center of economy, politics, commerce and other activities, so it is necessary to analyze the conditions that contribute to the quality of urban life. This study is on urban quality of life of the residents in Hawassa city and its main purpose is to identify the factors that may affect the quality of life of Hawassa residents. For the study a cross sectional data from 570 heads of household which were selected based on stratified random sampling by making the seven sub cities in Hawassa as stratum was collected. Statistical methods such as descriptive statistics, factor analysis and binary logistic regression are used to analyze the data in the study. The principal component analysis revealed that six factors (dimensions) of quality of life were extracted from twenty subjective attributes and all of the factor scores are positively and significantly related to quality of life. Factor analysis also extracts six factors using fifteen objective attributes. Housing, length of residence, economic status, distance from educational center and religious place all have statistically significant impact on people’s quality of life in Hawassa. But access to public service is not significant predictor of quality of life of the residents in Hawassa. Housing, economic condition, environment, neighborhood safety and security, social connectedness and quality of public service are identified as dimensions of subjective quality of life of the residents in Hawassa. The paper also conclude that socio-economic affairs, access to public service, access to education, housing, access to religious place and length of residency are found to be the dimensions of the objective quality of life of the residents in Hawassa.},
 year = {2015}
}

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TY  - JOUR
T1  - Statistical Analysis of Urban Quality of Life (Case Study: Hawassa Town, SNNP Region, Ethiopia)
AU  - Natnael Mamuye
AU  - Bute Gotu
Y1  - 2015/11/19
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DO  - 10.11648/j.ajtas.20150406.26
T2  - American Journal of Theoretical and Applied Statistics
JF  - American Journal of Theoretical and Applied Statistics
JO  - American Journal of Theoretical and Applied Statistics
SP  - 547
EP  - 554
PB  - Science Publishing Group
SN  - 2326-9006
UR  - https://doi.org/10.11648/j.ajtas.20150406.26
AB  - The study on Quality of life in the cities of both developing and developed countries is gaining interest from a variety of disciplines and is becoming an important tool for policy evaluation, rating of cities, urban planning and management. Cities are the center of economy, politics, commerce and other activities, so it is necessary to analyze the conditions that contribute to the quality of urban life. This study is on urban quality of life of the residents in Hawassa city and its main purpose is to identify the factors that may affect the quality of life of Hawassa residents. For the study a cross sectional data from 570 heads of household which were selected based on stratified random sampling by making the seven sub cities in Hawassa as stratum was collected. Statistical methods such as descriptive statistics, factor analysis and binary logistic regression are used to analyze the data in the study. The principal component analysis revealed that six factors (dimensions) of quality of life were extracted from twenty subjective attributes and all of the factor scores are positively and significantly related to quality of life. Factor analysis also extracts six factors using fifteen objective attributes. Housing, length of residence, economic status, distance from educational center and religious place all have statistically significant impact on people’s quality of life in Hawassa. But access to public service is not significant predictor of quality of life of the residents in Hawassa. Housing, economic condition, environment, neighborhood safety and security, social connectedness and quality of public service are identified as dimensions of subjective quality of life of the residents in Hawassa. The paper also conclude that socio-economic affairs, access to public service, access to education, housing, access to religious place and length of residency are found to be the dimensions of the objective quality of life of the residents in Hawassa.
VL  - 4
IS  - 6
ER  -

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Author Information

Natnael Mamuye

Department of Statistics, College of Natural and Computational Sciences, Samara University, Samara, Ethiopia
Bute Gotu

Department of Statistics, College of Natural and Computational Sciences, Samara University, Samara, Ethiopia

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APA Style

Natnael Mamuye, Bute Gotu. (2015). Statistical Analysis of Urban Quality of Life (Case Study: Hawassa Town, SNNP Region, Ethiopia). American Journal of Theoretical and Applied Statistics, 4(6), 547-554. https://doi.org/10.11648/j.ajtas.20150406.26

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ACS Style

Natnael Mamuye; Bute Gotu. Statistical Analysis of Urban Quality of Life (Case Study: Hawassa Town, SNNP Region, Ethiopia). Am. J. Theor. Appl. Stat. 2015, 4(6), 547-554. doi: 10.11648/j.ajtas.20150406.26

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AMA Style

Natnael Mamuye, Bute Gotu. Statistical Analysis of Urban Quality of Life (Case Study: Hawassa Town, SNNP Region, Ethiopia). Am J Theor Appl Stat. 2015;4(6):547-554. doi: 10.11648/j.ajtas.20150406.26

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@article{10.11648/j.ajtas.20150406.26,
  author = {Natnael Mamuye and Bute Gotu},
  title = {Statistical Analysis of Urban Quality of Life (Case Study: Hawassa Town, SNNP Region, Ethiopia)},
  journal = {American Journal of Theoretical and Applied Statistics},
  volume = {4},
  number = {6},
  pages = {547-554},
  doi = {10.11648/j.ajtas.20150406.26},
  url = {https://doi.org/10.11648/j.ajtas.20150406.26},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20150406.26},
  abstract = {The study on Quality of life in the cities of both developing and developed countries is gaining interest from a variety of disciplines and is becoming an important tool for policy evaluation, rating of cities, urban planning and management. Cities are the center of economy, politics, commerce and other activities, so it is necessary to analyze the conditions that contribute to the quality of urban life. This study is on urban quality of life of the residents in Hawassa city and its main purpose is to identify the factors that may affect the quality of life of Hawassa residents. For the study a cross sectional data from 570 heads of household which were selected based on stratified random sampling by making the seven sub cities in Hawassa as stratum was collected. Statistical methods such as descriptive statistics, factor analysis and binary logistic regression are used to analyze the data in the study. The principal component analysis revealed that six factors (dimensions) of quality of life were extracted from twenty subjective attributes and all of the factor scores are positively and significantly related to quality of life. Factor analysis also extracts six factors using fifteen objective attributes. Housing, length of residence, economic status, distance from educational center and religious place all have statistically significant impact on people’s quality of life in Hawassa. But access to public service is not significant predictor of quality of life of the residents in Hawassa. Housing, economic condition, environment, neighborhood safety and security, social connectedness and quality of public service are identified as dimensions of subjective quality of life of the residents in Hawassa. The paper also conclude that socio-economic affairs, access to public service, access to education, housing, access to religious place and length of residency are found to be the dimensions of the objective quality of life of the residents in Hawassa.},
 year = {2015}
}

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TY  - JOUR
T1  - Statistical Analysis of Urban Quality of Life (Case Study: Hawassa Town, SNNP Region, Ethiopia)
AU  - Natnael Mamuye
AU  - Bute Gotu
Y1  - 2015/11/19
PY  - 2015
N1  - https://doi.org/10.11648/j.ajtas.20150406.26
DO  - 10.11648/j.ajtas.20150406.26
T2  - American Journal of Theoretical and Applied Statistics
JF  - American Journal of Theoretical and Applied Statistics
JO  - American Journal of Theoretical and Applied Statistics
SP  - 547
EP  - 554
PB  - Science Publishing Group
SN  - 2326-9006
UR  - https://doi.org/10.11648/j.ajtas.20150406.26
AB  - The study on Quality of life in the cities of both developing and developed countries is gaining interest from a variety of disciplines and is becoming an important tool for policy evaluation, rating of cities, urban planning and management. Cities are the center of economy, politics, commerce and other activities, so it is necessary to analyze the conditions that contribute to the quality of urban life. This study is on urban quality of life of the residents in Hawassa city and its main purpose is to identify the factors that may affect the quality of life of Hawassa residents. For the study a cross sectional data from 570 heads of household which were selected based on stratified random sampling by making the seven sub cities in Hawassa as stratum was collected. Statistical methods such as descriptive statistics, factor analysis and binary logistic regression are used to analyze the data in the study. The principal component analysis revealed that six factors (dimensions) of quality of life were extracted from twenty subjective attributes and all of the factor scores are positively and significantly related to quality of life. Factor analysis also extracts six factors using fifteen objective attributes. Housing, length of residence, economic status, distance from educational center and religious place all have statistically significant impact on people’s quality of life in Hawassa. But access to public service is not significant predictor of quality of life of the residents in Hawassa. Housing, economic condition, environment, neighborhood safety and security, social connectedness and quality of public service are identified as dimensions of subjective quality of life of the residents in Hawassa. The paper also conclude that socio-economic affairs, access to public service, access to education, housing, access to religious place and length of residency are found to be the dimensions of the objective quality of life of the residents in Hawassa.
VL  - 4
IS  - 6
ER  -

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