Spatial Analysis of The Indexes of Life Quality Using a Multi-Criteria Decision Making Approach (A Case Study of Abhar Municipal Regions)

Document Type : Original Article

Authors

1 Associate Professor of Geography and Urban Planning, University of Zanjan , Zanjan , Iran.

2 PhD Student of Geography and Urban Planning , University of Zanjan, Zanjan, Iran

3 PhD Student of Geography and Urban Planning , University of Zanjan, Zanjan, Iran.

Abstract

Nowadays the quality of life is one of the factors that have special standing in the context of urban planning studies. This factor became significant due to the increasing importance of quality of life in the monitoring of public policy and its role as an efficient tool in the management and planning. Urban life quality is usually measured through the surveying and evaluation of subjective perception of citizen satisfaction of routine urban life and is measured using objective indicators. Nowadays, quality of life is the main goal of all programs is provided by the scientists and urban planners; therefore evaluation and spatial analysis in the quality of life indexes in urban areas and urban classified in terms of these indicators, it is essential to identify and improve the problematic areas. Due to this importance, this study analyzed the quality of life in Abhar municipal regions based on six criteria included that social, economic, housing quality, access to urban facilities and utilities, public transport and hygienic quality of environment. Research method based on quantities and analytical methods. In literature parts documentary and in field studies have been used questionnaire methods. To estimate sample size using Cochran formula and then 384 Abhar residents using a random sampling method to distribute questionnaires were chosen and multi criteria decision methods were used for rating Abhar municipal regions in terms of quality of life. One of the methods to measure the weight of a multi criteria analysis method that is involved in this research to prioritize the criteria weighted model (AHP) has been used. The results of this study show that, due to differences in the parameters and characteristics of socio-economic indexes, Abhar municipal region has differently quality of life than with other region, So that in terms of quality of life Region 2 has highest rate Region 4 had lowest rate in the ranking of Abhar municipal region.

Keywords

References

  1. Asgharpour, Mohammadjavad (2009), Multi-Criteria Decision Making, Tehran university press, pp, 260-266.
  2. Bahraini, Seyyed Hassan, Tabibian, Manouchehr (1998), A model for evaluating the quality of natural environment, Environmentology Magazine, Vol. 26, Issue number 21, Summer 1998.
  3. Jaremi, Kazem, Kalteh, Ebrahim (2006), Measuring the conditions of urban life quality in the city from the viewpoint of the citizens.
  4. Bowling A, (1995),The concept of Quality of life in relation to health, medicina Nei Secoli, Vol.7, Bulletin of the World Health organization, March 2004,82 (3), PP.633-645.
  5. Campbell J. M.; (1983), Ambient stressors; Environment and Behavior,Vol.15, No.3. p.27
  6. Colson G, Bruyn CD ( 1989), Models and methods in multiple objectives decision making. Math. Comput. Modelling 1989;12: PP.1201–
  7. Costanza, R. (2007), Quality of life: An approach integrating opportunities, human needs, and subjective well-being, Ecological Economics, 61(2-3).
  8. Das, D., (2008), Urban Quality of Life: A case study of Guwahati, Social Indicators Research, 88, P. 2
  9. Hollander, Augustinus E.M. Staatsen, Brigit A.M.,(2003), Health, environment and quality of life: an epidemiological, Journal of Landscape and Urban Planning 65, PP. 53–62.
  10. Kim, Kyungmi., (2002),The effects of tourism impacts upon quality of life of residents in the community, Dissertation submitted to the Faculty of the Virginia Polytechnic Institute and State University In partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY In Hospitality and Tourism Management.
  11. Lee, Y.-J., (2008), Subjective quality of life measurement in Taipei, Building and Environment, 43(7).
  12. Leitmann, Josef (1999), Can city QOL indicators be objective and relevant? Towards a participatory tool for sustaining urban development', Local Environment, 4: 2, PP.169–180.
  13. Lotfi, Sedigheh. Karim, Solaimani, (2009), An assessment of Urban Quality of Life by Using Analytic Hierarchy Process Approach (Case study: Comparative Study of Quality of Life in the North of Iran), Department of Urban Planning, Journal of Social Sciences 5(2), PP.123-133.
  14. Li, G. and Weng, Q., (2007), measuring the quality of life in city of Indianapolis by integration of remote sensing and census data, International Journal of Remote Sensing, 28(2).
  15. Massam, B.H. (2002), Quality of life: Public planning and private living. Progress in Planning, 58: PP.141–227.
  16. Megone, C. (1990).The quality of life: Starting from Aristotle. In: Baldwin, S., Godfrey, C.,Propper, C. (Eds.), Quality of Life: Perspectives and Policies. Biddles, London, pp. 28-41
  17. Saari & Merlin. (1994), the Copland Method I: Relationships And The Dictionary, Discussion Paper No. 8, pp.51-76.
  18. Santos, L. and Martins, I., (2007), Monitoring Urban Quality of Life: The Porto experience, Social Indicators Research, P. 80.
  19. Smith, D.M. )2002(, quality of life: Human welfare and social justice, Translation Hosain Hatami nejhad, Journal of Political– economic information, (17), NO, 185-186, P160-173.
  20. Wang, J., Lin, Z., Zhang, G. (2008), A Decision Model for IS Outsourcing Based on AHP
    And ELECTREIII, Wireless Communications, Networking and Mobile Computing, 4th International Conference, pp.68-81

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