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Social Indicators Research

, Volume 132, Issue 3, pp 1193–1216 | Cite as

Spatial Interrelationships of Quality of Life with Land Use/Land Cover, Demography and Urbanization

  • Saad Saleem BhattiEmail author
  • Nitin Kumar Tripathi
  • Masahiko Nagai
  • Vilas Nitivattananon
Article

Abstract

The quality of life (QOL) is a measure of social wellbeing and life satisfaction of individuals in an area. Measuring its spatial dynamics is of great significance as it can assist the policy makers and practitioners in improving the balance between urbanization and living environment. This study proposes an approach to spatially map and examine the relationships between QOL, land use/land cover (LULC) and population density in an urban environment. The city of Lahore, Pakistan was selected as the case study area. The QOL was evaluated through the data related to physical health, psychological, social relationships, environment (natural and built), economic condition and development, and access to facilities and services. The weights/relative importance of each QOL domain was determined through the analytic hierarchy process by processing the data collected from local field experts. Overall QOL was computed by applying the domain weights to the data; spatial mapping of QOL domains and overall QOL was conducted afterwards. The spatial dynamics of QOL were examined, and its interrelationships with LULC and population density were analyzed. The relationship between these three variables turned out to be spatially dynamic. The proposed approach assists the spatial mapping and analyses of QOL, LULC and population, and by examining the spatial dynamics of these variables, contributes to devising appropriate land management and QOL improvement strategies and policies in the metropolitan regions.

Keywords

Analytic hierarchy process Correlation Lahore Land use/land cover Population Urban quality of life 

Notes

Acknowledgments

The authors gratefully acknowledge the support from the Asian Institute of Technology, Thailand, and the Japanese Government for carrying out this research. We are indebted to Irfan Ahmad Rana (Ex. Asst. Director, Urban Planning, Lahore Development Authority), Rana Tahir (Asst. Director, Urban Planning, Lahore Development Authority) and the students of Department of City and Regional Planning, University of Engineering and Technology, Lahore for their assistance in collecting the data through questionnaire survey. The authors would also like to thank the reviewers for their insightful comments and valuable suggestions.

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Copyright information

© Springer Science+Business Media Dordrecht 2016

Authors and Affiliations

  • Saad Saleem Bhatti
    • 1
    Email author
  • Nitin Kumar Tripathi
    • 1
  • Masahiko Nagai
    • 1
  • Vilas Nitivattananon
    • 2
  1. 1.Remote Sensing and GIS, School of Engineering and TechnologyAsian Institute of TechnologyKlong LuangThailand
  2. 2.Urban Environmental Management, School of Environment, Resources and DevelopmentAsian Institute of TechnologyKlong LuangThailand

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