تحلیل و ارزیابی تاثیرات اجتماعی بازآفرینی در کرانه های آبی شهرها(نمونه موردی: شهر بوشهر)

کرانه‌های آبی شهری، به‌عنوان منابع زیست‌محیطی مهم، محور فعالیت‌های اقتصادی و اجتماعی شهرها هستند. بازآفرینی این کرانه‌ها، با تغییرات در ساختار شهری و اقتصادی، به رویکرد جدیدی پرداخته است.هدف این پژوهش شناخت و تحلیل تاثیرات اجتماعی بازآفرینی در کرانه ساحلی شهر بوشهر است. روش پژوهش توصیفی-تحلیلی و مبتنی بر گردآوری داده‌های از طریق میدانی است. ابزار گردآوری داده‌ها، پرسش‌نامه بوده است. روایی ساختاری و محتوایی پرسش‌نامه تایید و پایایی آن نیز با ضریب کرونباخ بیشتر از 0.70 تایید شد. جامعه آماری پژوهش را جمعیت شهر بوشهر تشکیل داده که بر اساس فرمول کوکران 380 نفر به عنوان حجم نمونه تعیین شد. نتیجه نشان داد که نتیجه آزمون نشان داد که شاخص‌های بازآفرینی اجتماعی در سطح کمتر از 0.05 و برابر با 0.000 معنادار بوده‌اند. در این زمینه دو شاخص شامل کاهش آسیب‌های اجتماعی با میانگین 3.771 و بهبود انسجام اجتماعی با میانگین 3.647 از وضعیت مناسب تری در کرانه آبی شهر برخوردار بوده‌اند. علاوه بر این نتیجه آزمون نشان داد که 10 شاخص بررسی شده در زمینه تاثیرات اجتماعی بازآفرینی، در سطح 0.000 معنادار بوده‌اند. شاخص محیط دوستانه با میانگین 3.892 به عنوان تاثیر اجتماعی قابل توجه بازآفرینی شناخته شده است. نتیجه همبستگی پیرسون نشان می‌دهد که بین متغیر بازآفرینی کرانه آبی شهر با ابعاد اجتماعی شامل دموکراسی، اجتماع پذیری و رضایتمندی در سطح کمتر از 0.01 رابطه معناداری مشاهده شده است. بیشترین رابطه مربوط به بازآفرینی کرانه آبی با دموکراسی با ضریب 0.164 بوده است.

analysis and evaluation of the social effects of regeneration in the water banks of cities (case study: bushehr city)

abstracturban water banks, vital environmental resources, act as hubs for significant economic and social activities. evolving urban structures promote urban regeneration, focusing on neglected areas, including waterfronts, for enhanced social and economic vitality.the purpose of this research is to identify and analyze the social effects of regeneration in the coastal city of bushehr. the research method is descriptive-analytical and based on data collection through the field. the data collection tool was a questionnaire. the structural and content validity of the questionnaire was confirmed and its reliability was confirmed with a cronbach’s coefficient greater than 0.70. the statistical population of the research is the population of bushehr, which was determined as a sample size of 380 people based on cochran’s formula. the result showed that the results of the test showed that the indicators of social regeneration were significant at a level less than 0.05 and equal to 0.000. in this context, two indicators, including the reduction of social damage with an average of 3.771 and the improvement of social cohesion with an average of 3.647, have had a more suitable situation in the blue bank of the city. in addition, the result of the test showed that the 10 investigated indicators in the field of social effects of regeneration were significant at the level of 0.000. friendly environment index with an average of 3.892 is known as a significant social impact of regeneration. the result of pearson’s correlation shows that a significant relationship has been observed between the variable of regeneration of the city’s water bank with social dimensions including democracy, sociability and satisfaction at a level of less than 0.01. the highest correlation was related to the reconstruction of the water bank with democracy with a coefficient of 0.164. extended abstractintroductionin urban regeneration, urban development in the sense of quantitative growth of physical elements and improving the quality of urban life will take place in the form of urban development plans. urban regeneration plans are trying to bring back social life and economic prosperity to the fabric by using the potentials in worn-out areas and by using public participation with minimal budget. coastal cities are one of the most productive and dynamic environmental resources and a platform for huge economic and social activities in the world. valuable natural resources, biological diversity and the ability of huge economic activities have turned these areas into one of the most sensitive and valuable urban areas in the world. in a coastal city, the natural environment directly and indirectly affects the urban economy and consequently the quality of life in the city, and there is also a direct relationship between economic growth and the improvement of urban living standards. urban water banks are among the most productive and dynamic. they are considered as environmental resources and a platform for huge economic and social activities. in fact, changes in the management and organization of old tissues with changes in the economic and social structure of cities have presented a new approach called regeneration in urban restoration, and the regeneration of inactive water banks has been on the agenda of urban planners for a long time. regeneration plans seek social life and economic prosperity of different urban contexts. the purpose of this research is to identify and analyze the social effects of regeneration in the coastal city of bushehr.methodologythe research method is based on the descriptive-analytical goal and is applied and based on the method, it is quantitative. the research data is the result of a survey study in bushehr city. the main tool of the research is a researcher-made questionnaire, the validity of which was verified by experts. its reliability was also confirmed through cronbach’s alpha coefficient, which reached a value above 0.70 for different parts of the questionnaire. the statistical population of this research is made up of 29,845 residents of bushehr based on the latest official census of the country (2015). the sample size was determined to be 380 people using cochran’s formula. the sampling method in this research was random sampling, where the share of each individual in the entire statistical population was the same. for data analysis, spss software and appropriate statistical tests were used, as well as structural equation modeling in amos software. results and discussionthe result of the sample t-test showed that the 6 investigated social indicators were significant at a level less than 0.05 and equal to 0.000. examining the direction of significance using the average shows that all the indicators have an average value greater than the average value of the test (3) and therefore it can be concluded that the status of social regeneration indicators in the water bank of bushehr city is favorable. the comparison of the average indices shows that the social damage reduction index has the best condition with an average of 3.771. also, two indicators of improving social cohesion with an average of 3.647 and participation and attention to the role of people with an average of 3.642 are known in the next ranks. the lowest average was related to the spatial belongingness index with a value of 3.305.the result of the t-test test shows that the 6 highlighted indicators were significant at a level less than 0.05 and equal to 0.000. examining the direction of significance using the mean shows that all the social effects of regeneration have an average greater than the average value of the test (3) and therefore it can be concluded that the social effects of regeneration in the water bank of bushehr city are favorable. comparison of average indicators shows that friendly environment index with an average of 3.892 is known as a significant social impact of regeneration. also, two indicators of welcoming environment with an average of 3.805 and uniqueness index with an average of 3.686 are recognized in the second and third ranks. the lowest average was related to the public rights demand index with a value of 3.347. in general, the social effects of regeneration are significant and need to be improved.in order to present an experimental model of the social effects of regeneration in the water bank of bushehr city, using amos software, first order factor analysis model related to each of the indicators (10 items) was drawn and in the continuation of the mentioned model, each of the factors have been validated. the mentioned factors (indices) have been classified into 10 main features using the exploratory factor analysis model, and the identified factors have been validated using exploratory factor analysis.