نوع مقاله : مقاله پژوهشی
موضوعات
عنوان مقاله English
نویسندگان English
Aim: This study aims to assess the impact of urban regeneration measures on the quality of life of residents of target neighborhoods in the city of Torbat Heydariyeh.
Material & Method: This research was based on a descriptive-analytical method, and field data were collected. Then the field data were analyzed using SPSS and ArcGIS software. To measure the data, statistical tests (T-test) and a correlation coefficient matrix in SPSS software are used. To examine the maps of the desired level and success of regeneration in the target neighborhoods, the environment (Arc Map) has been used.
Finding:: that among the indicators for recreating the worn-out texture of the target neighborhoods of city, the social index with (3.17) was identified as a successful indicator, the environmental index with (3.06) as a relatively successful indicator, the economic index with (2.45) as a relatively unsuccessful indicator, and the physical index with (2.38) as an unsuccessful indicator in recreating the target neighborhoods, respectively. By measuring these indicators, the quality of life of the residents of the target neighborhoods in this city also showed that Shahid Chamran neighborhood with (1.455) was identified as a desirable neighborhood, Shahid Hasheminejad neighborhood with (1.432) as a relatively desirable neighborhood, Molki neighborhood with (1.372) as a relatively undesirable neighborhood, and Ghasemabad neighborhood with (1.315) as an undesirable neighborhood in terms of the quality of life of residents in the neighborhood regeneration process.
Conclusion: Among the indicators (economic, physical, and environmental), the social index has had the most significant impact and desirability in recreating the target neighborhoods of city.
Innovation: In addition to measuring the quality of life of residents of target neighborhoods using field methods, maps of the success and desirability of urban regeneration have been identified separately in different neighborhoods based on the research-determined indicators.
کلیدواژهها English
Extended Abstrat
1. Introduction
With the expansion of population and development of cities, the growth of urbanization has had profound effects on ancient and historical textures. A significant part of the population living in historical and worn-out areas of the city is made up of non-urban migrants who have changed the structure and texture of these areas. These worn-out textures are the same as those in the old neighborhoods of the cities. In a comprehensive definition, a dilapidated urban fabric refers to "urban areas that face social, economic, cultural, and physical problems. These areas often have valuable cultural and social fabric, along with historical architecture that has been damaged over time due to wear and tear and a lack of desirable facilities. It is necessary to pay attention to the cultural and identity values of these fabrics, as well as their problems." Therefore, the necessity of conducting research in four neighborhoods is the goal of recreating the city of Torbat Heydariyeh. Considering the increase in the population of the neighborhoods and the construction of new housing near the worn and historical textures of urban neighborhoods, this has not only destroyed a large part of other buildings with the city's historical texture, but this, in turn, has had a negative impact on the quality of life of the neighborhood residents, especially the old residents of the city. In line with the mission of urban regeneration, this research answers the following questions:
Which urban regeneration measures have had the greatest impact on improving the quality of life of residents of target neighborhoods?
_ What was the success rate of each of the four indicators (social, economic, physical, and environmental) in the process of regenerating target neighborhoods in Torbat Heydariyeh?
2. Materials and Methods
To analyze and collect questionnaire data, based on statistical and descriptive tests, the T-test and correlation matrix from software (SPSS) were used. In which the relationship between (social-economic-physical-environmental) indicators was measured. The statistical population of this study includes residents of 4 target neighborhoods (18630). In this study, a stratified probability sampling method was used. The samples were collected from the population residing in each neighborhood using simple random sampling. To calculate and determine the sample size in the studied city and its target neighborhoods, 376 households were selected using the Cochran formula. To obtain maps of the studied area and the 4 target recreated neighborhoods of Torbat Heydariyeh city and the degree of desirability and success of implementing neighborhood regeneration plans, Arc Map software was used.
3. Results and Discussion
According to the survey of urban officials and experts, among the 4 indicators proposed in the target neighborhoods, social variables have had the most significant impact on the neighborhood regeneration process, followed by environmental and physical indicators. The economic index and its variables also showed the least impact of this indicator in the targeted neighborhoods. According to the results obtained from measuring the variables, it was determined that the social index with the most significant impact in the target neighborhoods indicates that the greater the participation of residents with urban officials, the more successful the regeneration process in the neighborhoods and, as a result, the more desirable the quality of life for residents will be. To ensure the level of correlation between the indicators, the correlation coefficient matrix was used. As a result, there was a correlation between all 4 indicators. In this sense, the higher the level of correlation between the indicators, the greater their relevance in the process of neighborhood regeneration plans. As a result, the implementation of the regeneration process in neighborhoods will be more successful. On the contrary, the lower the correlation between the indicators, the less their connection in the regeneration process, and as a result, the implementation of the regeneration process in neighborhoods will be less successful.
4. Conclusions
According to the results of the T-test, the social index has had the most significant impact and success in the process of recreating target neighborhoods, causing some neighborhoods to have a more favorable status than the (social, economic, physical, and environmental) indicators. Thus, the social index with (3.17) indicates the highest level of success, and the environmental index with (3.06) indicates the relatively successful level of this index in recreating target neighborhoods. In contrast, the economic index with (2.45) indicates a relatively unsuccessful rate, and the physical index with an average of (2.38) indicates an unsuccessful and weak status of these two indicators in the regeneration of neighborhoods. Therefore, Shahid Chamran neighborhood with (1.455) is considered a desirable neighborhood, Shahid Hasheminejad neighborhood with (1.432) is considered a relatively desirable neighborhood, Molki neighborhood with (1.372) is considered a relatively undesirable neighborhood, Qasem Abad neighborhood with (1.315) is considered a relatively undesirable neighborhood. As a result, in order to successfully implement regeneration projects based on the quality of life of residents, considering the indicators and sub-indicators raised in (Qasem Abad and Mulki neighborhoods), it has been shown that cooperation between executive officials and public participation is very low. This has led to dissatisfaction among residents of these neighborhoods with the success and desirability of the regeneration and renovation process of neighborhoods with worn-out textures.
5. Acknowledgment & Funding
We would like to thank the residents of the targeted neighborhoods for recreating the dilapidated fabric of Torbat Heydariyeh for their cooperation in completing the questionnaires.
6. Conflict of Interest
The authors declare no conflict of interest.
