Spatial Analysis of the Liveability Pattern of Tabriz Metropolis

Document Type : Research Paper

Authors

1 PhD Student in Geography and Urban Planning, Marand Branch, Islamic Azad University, Marand, Iran

2 Assistant Professor of Department of Geography, University of Farhangian, Tabriz, Iran

3 Assistant Professor, Department of Geography and Urban Planning, Shabestar Branch, Islamic Azad University, Shabestar, Iran

4 Professor of Geography and Urban Planning, Mohaghegh Ardabili University, Ardabil, Iran

10.22034/jsc.2021.260866.1374

Abstract

Extended Abstract
Introduction
Liveability with a set of practical measures and interventions improves the current state of urban construction and texture and provides the basis for quantitative and qualitative improvements and can give new life to the texture locally and make desirable socio-economic, environmental and physical structure for life. This approach also addresses broader issues such as competitive economics and quality of life, especially for those living in slums. Considering the factors presented in the field of liveability, this concept overlaps with approaches such as quality of life, smart growth and neo-urbanism, because all of them have been developed as critical responses to undesirable urban policies and negative side effects of urban growth and have aspects in common with liveability.  Therefore, recognizing the importance of the liveability approach in redesigning the space and evaluating the environmental quality of space construction in neighborhoods and urban areas will be undeniable and will require effective effort and management in line with this new approach in cities. The available evidence shows that the construction of Tabriz city, despite the rotation of development model policies in the last decade, has changed its image of stability and its biological system has fluctuated in terms of the function of vital components. In this study, while evaluating the livability model of Tabriz metropolis based on operational indicators, the following question will be considered:
What is the appropriateness and compatibility of the liveability pattern of Tabriz metropolis with the goals of sustainable development?
 
Methodology
The present study is in the category of applied research that has been done with analytical method and quantitative approach. In order to analyze the pattern of livability in the regions of Tabriz, first, study indicators have been investigated based on statistics and documentary information, including census sources, plans and upstream documents, such as detailed plan studies, municipal operational projects at the regional level in the years 2008 to 2019. After extracting the studied indicators, according to Table 2, the indicators were implemented and quantified based on the objectives of the research. In order to model the Liveability pattern and arrangement of space models as a single set with the correct map of spatial metrics of Tabriz city based on data related to the spatial structure of the city, their accuracy was measured.
 
Results and Discussion
Validation results of processing the values ​​of selected indicators in sample metrics with specified areas and the degree of correlation with the living situation in each spatial metric in proportion to zones with different areas, based on visual interpretations and the degree of correlation, 5.41 hectares (LPI) can be selected as zones with an optimal level for calculating metrics and dividing regions into these zones. According to the results of PCA analysis, the index of density and distribution of land uses is the output of the analysis of 57.87% of the variance of the distribution of 4 metric data used. The index of density and distribution of land uses and the number of projects implemented by domain include the highest variance of data. Based on these results, the final model of the livability pattern was calculated, formed and displayed by combining the eigenvalues ​​of all instrumental variables, the values ​​of the factor load of the metrics as coefficients for the 10 regions of city. According to the results with the components of the Liveability model, in all 2010 metrics, 374 zones were created considering the histogram and the distribution range of the Liveability index, which was zero to 1, in 10 classes with low (0.1) to high (1) Liveability was determined and the class map was prepared in an integrated manner.
 
Conclusion
According to the analysis, the final liveability index of Tabriz metropolis is higher than the average. Considering the results, the most liveable area was region 5 of Tabriz metropolitan with a value of 0.9146. In LPI metric, 11 optimal metrics with 10.78 hectares of the total area were recognized liveable. After region 5, region 2 with a value of 0.7445 was identified as the second liveable region. In LPI metric, 17 optimal metrics with ​​16.67 hectares of the total area are liveable. Region 10 with a value of 0.6690 in NP metric and 68 metrics with ​​66.67 hectares out of a total of 1092 hectares were identified as liveable. In LPI metric, region 6 with 21 optimal metrics and 20.59 area of ​​total urban land uses of 8367 hectares was determined in the fourth level of viability. In Division Metric, region 1 with 31 optimal metrics and ​​30.39 hectares out of a total of ​​1659 hectares, were found liveable. In the Division Metric, region 9 was identified as liveable area with 39 metrics and ​​38.24 hectares out of a total of ​​746.7 hectares. Region 4 was recognized as liveable area in PD metric with 38 optimal metrics and ​​37.25 hectares out of a total of 2557 hectares. Region 3 was identified ​​ as liveable area in NP metric with 44 metrics and ​​43.14 hectares out of a total of 2801 hectares. In Division Metric, region 7 was distinguished as liveable area with 49 metrics and 48.04 hectares out of a total area of ​​3038 hectares. In the final level of Liveability, region 8 in PD metric with 56 metrics and ​​54.90 hectares out of a total of 357.9 hectares. The results show that there is a high relationship between the rate of liveability index and the type of metric and in LPI metric, this rate is higher.

Keywords

References

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Sustainable city
Volume 4, Issue 3
October 2021
Pages 81-98

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