اولویت سنجی عوامل موثر بر تاب آوری اجتماعی منطقه 3 شهرداری شیراز در برابر زلزله

نوع مقاله : مقاله پژوهشی

نویسندگان

1 استادیار گروه شهرسازی، موسسه آموزش عالی آپادانا، شیراز، ایران

2 مدرس مدعو گروه شهرسازی، موسسه آموزش عالی آپادانا، شیراز، ایران

چکیده

تاب آوری در برابر زلزله یکی از مفاهیم بسیار مهم نظری و عملی در مدیریت بحران است .طی چند دهه گذشته، رشد شتابان شهری و توسعه مناطق فرودست شهری (به ویژه در کشورهای در حال توسعه) موجب شده که آسیب پذیری آن ها در برابر بحران هایی با منشاء انسانی و طبیعی بیش از پیش گردد. لذا امروزه بر بحث تاب آوری بیش از آسیب پذیری تاکید شده است.
پژوهش حاضر با هدف اســتخراج اثرگذارترین مؤلفه ها و اولویت سنجى آن هــا در تاب آورى با رویکرد اجتماعى جهت مقابله با زلزله در مرحله پیشــگیرى در منطقه 3 شهرداری شیراز انجام گرفت. 383 پرسشنامه به عنوان نمونه از سرپرستان خانوارها جمع آوری گردید . ابزار گردآوری داده ها پرسشنامه محقق ساخته بود که سوالاتی در مورد ویژگی های اجتماعی و اقتصادی خانوارها و ارزیابی ابعاد و مولفه های تاب آوری را در بر می گرفت. داده ها، با به کارگیری آزمون های مورد تحلیل قرار گرفتند . جهت بررسی تجزیه و تحلیل داده ها مدل رگرسیون خطی چندگانه، t- test، تحلیل واریانس ANOVA و ضریب همبستگی پیرسون به کار رفته است.
نتایج تحقیق نشان داد که از میان شاخص های مورد مطالعه مولفه سرمایه اجتماعی با میانگین نظری 3.99، بیش ترین اهمیت را در پیش بینی تاب آوری کل برخوردار است. در مجموع، بعد تاب آوری اجتماعی از سطح مطلوبی برخودار بوده است. نتایج رگرسیون خطی چندگانه نشان می دهد وضعیت تاهل، میزان درآمد ماهیانه فرد، میزان درآمد صرف ضروریات، کیفیت و عمر ساختمان و تعداد دفعات تجربه زلزله رابطه معنی داری با تاب آوری اجتماعی دارند. چنان‌چه نتایج نشان می‌دهد به ازای هر واحد افزایش در متغیر تعداد دفعات تجربه زلزله میزان تاب‌آوری اجتماعی به اندازه 18/0 افزایش می‌یابد.

کلیدواژه‌ها


عنوان مقاله [English]

Prioritization of Factors Affecting the Social Resilience of The 3rd Municipal District of Shiraz City Against Earthquakes

نویسندگان [English]

  • Parisa Moshksar 1
  • Mohammad Hassan Azadi 2
1 Assistant Prof., Department of Urbanism, Apadana Institute of Higher Education, Shiraz, Iran.
2 Guest Lecturer., Department of Urbanism, Apadana Institute of Higher Education, Shiraz, Iran.
چکیده [English]

Measuring and evaluating resilience against earthquake is one of the main
theoretical and practical concepts in crisis management. During the last few decades, rapid peace of urbanization and development of poor urban area(particularly in developing countries) have led to increased vulnerability of them against crisis oriented from human and natural factors. Thus, nowadays, a special emphasis is put on resilience rather than vulnerability.
The aim of this study is to extract the most effective components and prioritize them in resilience with a social approach to earthquake response was done in the prevention phase in the 3rd municipal district of Shiraz city. In this study, a sample size was estimated to be 383 heads of households of this district.
The data collection tool was a researcher-made questionnaire that included
questions about socioeconomic characteristics of households and questions
assessing dimensions and components of resilience. Data were analysed
using multiple linear regression, t- test, ANOVA and Pearson correlation
coefficient. The results of the evaluation in the quantitative section of the
research shows that in the social resilience, respectively, the highest average(3.99) was related to the components of social capital .
Overall,the social resilience dimension has been reported at a desirable level. The results of the multiple linear regression model showed that Marital status, amount of monthly income, amount of income spent on necessities, quality and life of the building and number of earthquake experiences have a significant relationship with social resilience. As the results show, for each unit of increase in the variable number of earthquake experiences, the rate of social resilience increases by 0.18.
 
Extended Abstract
Introduction
Measuring and evaluating resilience against earthquake is one of the main theoretical and practical concepts in crisis management. During the last few decades, rapid peace of urbanization and development of poor urban area (particularly in developing countries) have led to increased vulnerability of them against crisis oriented from human and natural factors.
Methodology
Thus, in recent years, a special emphasis is put on resilience rather than vulnerability. The aim of this study is to extract the most effective components at the level of households in the 3rd municipal district of Shiraz city.and prioritize them. In this study, a sample size was estimated to be 383 heads of households.
The data collection tool was a researcher-made questionnaire that included questions about socioeconomic characteristics of households and questions assessing dimensions and components of resilience. Data were analysed using multiple linear regression, t- test, ANOVA and Pearson correlation coefficient.
 
Results and discussion
To measure the level of social resilience of sample households in facing and coping with earthquakes, according to the normal distribution of data, the Wilcoxon signed one-sample parametric test was used, considering the desired numerical limit of 3 and comparing it with the theoretical mean of each component. The questions in each component were summed and divided by the number of questions in that component. The theoretical mean of each component was obtained as a number between 1 and 5, which was compared with the desired limit of 3 using the signed parametric test. As is clear from the table below, in this study, the theoretical mean score of the social capital component (3.99), the attitude component (3.94), the awareness and knowledge component (3.78), and the skill component (3.76) are higher than the desired limit of 3, respectively, and this indicates the priority of social capital over other components. Given that the significance level of the one-sample test is less than 0.05, it can be concluded that the sample households are in a favorable situation in terms of the components of awareness and knowledge, skills, attitudes, and social capital. In total, the theoretical average score of social resilience for the study of District 3 of Shiraz Municipality was 3.90, which is higher than the desired level of 3 at a significance level of less than 0.05. In other words, this finding indicates that the social resilience situation from the perspective of household head respondents in this study is in a favorable situation.
 
Conclusion
The results of the evaluation in the quantitative section of the research shows that in the social resilience, respectively, the highest average was related to the components of social capital .the examination of the effect of underlying factors on the total amount of resilience, the results of the multiple linear regression model showed that with increased staying time in the area of residence and number of people working to provide the family, the level of the resilience of households increases. Marital status, amount of monthly income, amount of income spent on necessities, quality and life of the building have a significant relationship with social resilience.

کلیدواژه‌ها [English]

  • Social resilience
  • Crisis
  • Earthquake
  • Municipal District of Shiraz City
  1. Adger, W. N. (2000). Social and ecological resilience: are they related?, Progress in Human Geography, 24 (3),  347-364.
  2. Ahmadzadeh kermani, H. & Aminzadeh Goharrizi, B. (2020). Assessment of urban resilience dimensions,with using the method average total distances of optimal limites(research on municipality 9 of Mashhad), Hoviatshahr, 14(41), 33- 44.
  3. Aroca-Jimenez, Estefania, Bodoque, Jose Maria, Garcia, Juan Antonio, Diez-Herrero, Andres(2017). Construction of an integrated social vulnerability index in urban areas prone to flash flooding, Natural Hazards and Earth System Sciences, 17, 1541–1557.
  4. Aslani, F., Amini Hosseini, K., & Fallahi, A.(2019). “The Physical and Social Resilience Framework of the City Districts against the Earthquake (Case Study: Keshavars District in Region 6 of Tehran City)”. The Journal of Environmental Hazards Management, 5, 417- 433.
  5. Bastaminia, A., Rezaie, M.R., Tazesh, Y., Dastoorpoor, M. (2016). “Evaluation of Urban Resilience to Earthquake A Case Study: Dehdasht City”. International Journal of Ecology & Development,31(4).
  6. Bastaminia, A., Rezaie, M.R. &  Saraie, M.H. (2016). Explaining and Analyzing the Concept of Resiliency and its Indicators and Frameworks in Natural Disasters, Disaster Prevention an Management Knowledge, 6(1), 32- 46.
  7. CA Workshop, 2015. DISASTER RESILIENCE FRAMEWORK 75% Draft for San Diego.
  8. Chisty, M. A. , Mostafizur Rahman, Md., Ahmed Khan, N. & S. Alam Dola, E. (2022). Assessing Community Disaster Resilience in Flood-Prone Areas of Bangladesh: From a Gender Lens, MDPI, 14 (40), https://doi.org/10.3390/w14010040.
  9. Clauss, E. & Lopez, L. (2002). Violence and Community, Terms in Conflict: An Ecological Approach to Resilience, Journal of Social Distress and the Homeless11(4):265-278
  10. Ebadollahzadeh Maleki, S., Khanloo, N., ziyari, K., & shali amini, V. (2019). “Prioritization of Factors Affecting Social Resilience Against Natural Hazards with Emphasis on Earthquakes”. The Journal of Hoviat Shahr, 13(37), 45-58.
  11. Ebrahimpour, M. (2009). The Social Consequences of Bam Earthquake in Damaged Villages, The Journal of Village and Development, 11(4), 175- 202.
  12. Enemark, S. (2006). People, Politics, and Places – responding to the Millennium Development Goals. Proceedings of international conference on Land Policies & legal Empowerment of the Poor. World Bank, Washington,
  13. Ghaderi, Sh., Rostami, Ch., Ardalan A. & Pashai T. (2016). Predict of job performance and resiliency based on personality characteristics, The Journal of Kurdistan Nursing, Midwifery and Paramedical Faculty, 2 (2), 48- 59.
  14. Heidarifar, M.R., Siahgoli, M., & Soleimaniad, E. (2018). The Evaluation of Urban Resilience Components (Case Study: Kermanshah Metropolis). The Journal of Geography And Environmental Studies, 7(28), 107-125.
  15. Jowkar, B. (2008). The mediating role of resilience in the relationship between general and emotional intelligence and life satisfaction, Contemporary Psychology, 2(2), 3-12.
  16. Khalatbari, J. & Bahari, S. (2009). Relationship between Resilience and Satisfaction of Relationship between Resilience and Satisfaction of Life, The Journal of Educational Psychology, 1(2), 78- 89.
  17. Mahmoudzadeh, H., Nazari, M. & Herischiyan, M. (2022). Assessing and evaluating the resilience of worn-out urban fabric against earthquakes (Case Study: Shahrekord), The Journal of Geographical Planning of Space, 11(41), 163- 188.
  18. Maleki, S., Amanpour, S., Shojaeeyan, A. & Razavii, M. (2020). Surveying and Measuring the Physical and Social Resilience to Earthquakes (Case Study of Izeh City), The Journal of Urban Structure and Function Studies, 7(22), 81- 111.
  19. Marasco, S., Kammouh, O., & PaoloCimellaro, G. (2022). “Disaster Resilience Quantification of Communities: A Risk-based Approach”. The International Journal of Disaster Risk Reduction, 70.
  20. Mayunga, Joseph S., (2007). Understanding and Applying the Concept of Community Disaster Resilience: A capital-based approach, social vulnerability and resilience building, Munich, Germany.
  21. Mirasadollahi, S., Motvale, S. & Janbazghobadi, G. (2021). The Role of Urban resistance Components in Reduction of Flood Damage Case study ( Gorgan City), The Quarterly Journal of Geographical Planning Space, 10(38), 71-88.
  22. Mohammadi sarin dizaj, M. & Ahadnejad roshti, M. (2016). The evaluation of the urban fabric resiliency against earthquake risk Case Study: Zanjan, 3(1)- 103-114.
  23. Namjoo, F., samadzadeh, R. & Masoumi, M. (2021). Assessment of urban resilience against earthquake risk (Case study: Tabriz Metropolis), The Journal of Geography and Environmental Hazards, 9(36), 201- 219.
  24. Nasiri Hande Khaleh, E., Eftekhari, E., Nezafat Takleh, H. (2021). Evaluation of environmental physical resilience components of dysfunctional urban tissues to reduce earthquake crisis: A case study on Mallard, Urban Structure and Function Studies, 8(29), 149-169.
  25. Patel, R. & Nosal, L. (2016). Defining the Resilient City, United Nations University Centre for Policy Research.
  26. Pickett, S. T. A., and Cadenasso, M. L., Grove, J. M. (2004). Resilient cities: Meaning, models, and metaphor for integrating the ecological, socio-economic, and planning realms. Landscape and Urban Planning, 69: 369–384. DOI: org/10,1016/j.landurbplan.2003,10,035.
  27. Poynting, S. (2006). What caused the Cronulla riot?, SAGE Journals, 48(1), 85-92.
  28. Rahimi, M., Ayazi, A. & Ravanshadnia, A. (2020). Analysis of Factors Affecting Resilience in Inefficient Urban Neighborhoods with Emphasis on Physical Criteria (Case Study: Farahzad Neighborhood, Tehran), The Journal of Human Settlements Planning, 15(3), 995- 1009.
  29. Ramin Azad, S. M., Babak Omidvar, B., Shobeiri, S. M. & Mohammad Mahdi Parhizgar, M. M. (2022). Introducing the Model for Community Resilience against Environmental Disasters with a Meta-Analysis approach, Quarterly Journal of Environmental Education and Sustainable Development, 10(2), 169- 177.
  30. Saeedi, J., Firoozi, M. A., Mohammadi Dehcheshmeh, M. & Shamsaei Zafarghandi, F. (2021). Development of resilience scenarios for border cities(Case Study: Abadan and Khorramshahr Cities), The Journal of Spatial Planning, 25(4), 1-43.
  31. Salimi, M. & Naderi, A. (2020). Study of Women’s Lived Experiences of Earthquake in Sarpol-e-Zahab, Quarterly Journal of Social Sciences, 27(88), 217- 252.
  32. Seydmoradi, K., Shafiabady, A., Farrokhi, N. A., salimi Bajestani, H. & Ghafoori, A. (2020). Exploring the Process of Utilizing Social Capital in Resilience of Earthquake Survivors in Kermanshah: A QualitativeStudy, Quarterly Social Psychology Research, 36, 89- 114.
  33. Shabani, A. & Nakhli, S. R. (2008). Components of resistance economics in popular literature and in the expression of the Supreme Leader, The Journal of Security Horizons, 7(25), 55- 88.
  34. Tamvakis, P. & Xenidis, Y., (2013). Comparative Evaluation of Resilience Quantification Methods for Infrastructure Systems, Procedia - Social and Behavioral Sciences 74 pp. 339 – 348.
  35. Tiernan, A., Drennan, L., Nalau, J., Onyango, E., Lochlan M.& Brendan, M. (2019). Policy Design and Practice
  36. Tobin, Graham A., (1999). Sustainability and community resilience: the holy grail of hazards planning?, Environmental Hazards, Vol.1, pp. 13-25.
  37. Trkulja, Tanja, (2015). SOCIAL Resilience as a Theoretical Approach to Social Sustainability, Defendology, Vol. 2, No. 36, pp. 47- 60.
  38. Valbonesi, C. (2021). Between Necessity and Legal Responsibility: The Development of EEWS in Italy and its International Framework, Ferantiers in Earth Science.
  39. Yarahmadi, M., Nikpour, A. & Lotfi, S. (2020). Evaluating the physical resilience of cities against earthquakes: A case study of Noorabad Mamassani, Geographical Research on Desert Areas, 7(2), 147-171.
  40. Yodmani, S., (2000). "Disaster risk management and vulnerability reduction: Protecting the poor", Paper Presented at The Asia and Pacific Forum on Poverty Organized by the Asian Development Bank.
  41. Zarghami, S., A. Teymouri, A., Mohammadian, H. & Shamaei, A. (2017). Measuring and Evaluating Urban Neighborhood’s Resilience Against Earthquake: The Case of Zanjan Downtown, Research and Urban Planning, 7(22), 77-92.
  42. Zebardast, E., Azizi, M. m. & Baghernejhad, E. (2020). Analyzing Relationship between Urban Form and Disaster Resilience at Tehran Metropolis Neighborhoods, The Journal of Housing and Rural Environment, 39(170), 15-28.
  43. Ziyyari, K. & Kanuni, R. (2021). Structural analysis of social resilience in the context, Proper urban governance With a futures research approach( Case study: Ardabil city), Urban Structure and Function Studies, 25(3), 59- 91.