The Impact of Livable City’s Principles on Improving Satisfaction Level of Citizens; Case Study: District 4 of Region 4 of Tehran Municipality

Document Type : Original Article

Authors

1 M.A.of Geography and Urban Planning, Islamic Azad University, Rasht Branch, Gilan, Iran, and Member of Young Researchers and Elite Club of Islamic Azad University, Chalous Branch

2 Ph.D. Candidate of Geography and Urban Planning, Faculty of Geography, Shahid Beheshti University, Tehran, Iran.

3 Ph.D. of Meteorology, Faculty of Geography and Urban Planning, Kharazmi University, Tehran, Iran.

Abstract

Nowadays, large cities face many economic, social and environmental challenges, among which problems such as pollution, traffic, and so on have reduced environmental quality, and thereby livability in large cities. The present study aims to measure citizens’ satisfaction in the 4th municipal district of Tehran city with regard to the principles and indicators defined for livability, and with emphasis on environmental and social aspects. The Municipal District 4 of Tehran City is selected as a case study since it is a part of the green zone of East Tehran, where there are Iran University of Science and Technology, as a higher education environment, with green landscape, neighborhood living and a great number of students. This article identifies and analyzes the indicators that have been identified as those contributing to the understanding of people’s satisfaction with their lives by national and international experts and institutions. Given the fact that the indicators are general, using the factor analysis, the indicators are localized considering the case study by national and international experts and institutions, so that they are finally ranked, according to their importance, to be used to achieve the optimal situation in the studied area in the shortest possible time. Data are analyzed using one-sample T-test, factor analysis, and linear regression in SPSS software environment as follows: first, the one-sample T-test is used to examine the significance of indicators, then, the factor analysis is used to summarize, homogenize and localize the indicators, finally, using linear regression, the indicators are prioritized. The results show that the “attendance in space” indicator and related sub-indicators are ranked first priority, followed by “identity” and “sense of belonging to place” indicators and related sub-indicators.

Keywords

References

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Armanshahr Architecture & Urban Development
Volume 12, Issue 28
November 2019
Pages 171-183

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History

  • Receive Date: 24 December 2017
  • Revise Date: 14 August 2018
  • Accept Date: 13 July 2019

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