Measuring the Components of Smart Environment Promotion in the 12th District of Tehran

Document Type : Research Paper

Authors

1 kharazmi university

2 . PhD student in Geography and Urban Planning, Kharazmi University, Iran, Tehran

3 PhD student in Geography and Urban Planning, Kharazmi University, Iran, Tehran

4 Master's student of geography and urban planning of Kharazmi University, Iran, Tehran

10.22111/gdij.2024.46951.3587

Abstract

Currently, the smart environment and its promotion is one of the important issues in the field of environmental protection. The European Union, as an international organization, has set indicators to measure and evaluate actions and efforts to promote a smart environment. Therefore, the present study aims to measure the components of smart environment improvement based on the indicators of the European Union Commission in the neighborhoods of the 12th district of Tehran. The current research is applied in terms of its descriptive-analytical nature, which was carried out by using a combination of quantitative and qualitative models. The methods of data collection in this research are documentary-library and field. The statistical population of the research was formed by 60 experts using the Delphi technique. Finally, the Marcus method and structural equations were used to analyze the variables. The results show that the indicators of the smart environment are different from each other in terms of importance. The index of environment and environmental pollutants has the highest score with an average rating of 1.81 and the index of green planning has the lowest score with a score of 1.06. Also, the results show that; The significance level obtained from the Friedman test is less than 0.05, as a result, there is a difference between the indicators of the smart environment at the level of 6 sub-districts of the 12th district of Tehran at the 95% confidence level. Also, considering the positivity of the sharing index and the redundancy index and the three values of 0.01, 0.25, 0.36 which are introduced as weak, medium and strong values for GOF and obtaining a value of 0.50 for GOF, the appropriate fit of the model is confirmed. The results of Marcus analysis also show that the 4th region has more weight in different aspects of environmental protection and natural resource management, and other regions have different effects in some dimensions.

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References

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History

  • Receive Date: 15 October 2023
  • Revise Date: 24 April 2024
  • Accept Date: 16 November 2024

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