شناسایی پهنه های مناسب برای مکان یابی فضاهای سبز چندمنظوره شهری جهت اسکان موقت پس از بحران، مطالعه موردی: شهر رشت

بازتعریف مفهوم فضای سبز شهری نه‌فقط به‌عنوان مکانی برای تفریح بلکه به‌عنوان یک کاربری منعطف و چندمنظوره در شرایط مختلف، می‌تواند در تاب‌آوری سکونت و زندگی شهری پس از بلایا تاثیرگذار باشد. بنابراین یکی از اصلی‌ترین مقاصد در احداث فضاهای سبز چندمنظوره، ارتقای تاب‌آوری شهری و اسکان موقت می‌باشد. ازاین‌رو برنامه‌ریزی آگاهانه برای جانمایی و احداث فضاهای سبز چندمنظوره، با فراهم کردن شرایطی مطلوب برای سپری کردن اوقات ساکنان در آن و افزایش خدمات‌رسانی به مصدومان، رویکردی اثرگذار بر کاهش ریسک بحران خواهد بود. هدف از تحقیق حاضر جانمایی بهینه پهنه‌های سبز چندمنظوره با تاکید بر اسکان موقت در شهر رشت است. روش به‌کاررفته در این تحقیق، ترکیب رویکرد بهترین – بدترین (bwm) و توابع فازی در gis می‌باشد. با تعیین وزن نهایی معیارها و زیر معیارهای موثر در مکان‌یابی فضاهای سبز چندمنظوره و مقایسه آن‌ها به روش بهترین-بدترین، بیشترین وزن زیرمعیارها در معیارهای طبیعی، سازگاری، ناسازگاری و کارایی مشخص گردید که به ترتیب عبارت‌اند از فاصله از گسل، نزدیکی به مناطق مسکونی، فاصله از تاسیسات پرخطر و تراکم جمعیتی. سپس پهنه‌بندی رشت به روش فازی انجام شد و محدوده‌های بهینه در پنج منطقه رشت مشخص گردید. نتیجه نشان می‌دهد مناسب‌ترین مکان‌ها برای احداث فضاهای سبز چندمنظوره و اسکان موقت در مناطق 3 و 1 به ترتیب با مساحت‌های967.01، 718.6 هکتار در شمال و شرق شهر رشت می‌باشد. اما از نظر نسبت سطوح بهینه به مناطق، منطقه 2 با نسبت0.64، دارای بیشترین نسبت می‌باشد.

identifying suitable areas for locating multi-purpose urban green spaces for temporary housing after the crisis: the case study of rasht city

abstractredefining the concept of urban green space not only as a place for recreation but also as a flexible and multi-purpose use in different conditions can be effective in the resilience of life and urban life after disasters. therefore, one of the main goals in the construction of multi-purpose green spaces is to promote urban resilience and temporary accommodation. the aim of the current research is the optimal placement of multi-purpose green spaces with an emphasis on temporary accommodation in rasht city. the method used in this research combines the best-worst approach (bwm) and fuzzy functions in gis. by determining the final weight of effective criteria and sub-criteria in locating multi-purpose green spaces and comparing them using the best-worst method, the highest weight of sub-criteria was determined as natural and compatible. the criteria of incompatibility and efficiency are distance from the fault, close to residential areas, distance from high-risk facilities, and population density, respectively. then, the zoning of rasht was done using the fuzzy method, and the optimal ranges were determined in five districts of rasht. the results show that the most suitable place for the construction of multi-purpose green spaces and temporary accommodation is in districts 3 and 1, with an area of 967.01 and 718.6 hectares, respectively, in the north and east of rasht city. however, regarding the ratio of optimal levels to areas, district 2 has the highest ratio of 0.64.extended abstractintroductionredefining the concept of urban green space not only as a place for recreation but as a flexible and multi-purpose use in different conditions can be effective in the resilience of urban living and life after disasters. in this regard, the current research is an attempt to optimize urban green spaces in rasht city, which, in addition to the social, welfare, and recreational functions, examines the hidden capacities of these spaces to reduce the risks caused by disasters. spaces that, in addition to providing various types of services under normal conditions, can turn into places for citizens to settle in the shortest time after a crisis, and access to other services is also easier in these places than in other areas. moreover, they have the highest safety conditions. among these capacities is the establishment of temporary accommodation bases in multi-purpose green sites, and the optimization of suitable locations for these bases and their spatial analysis are on the agenda of the present research. methodologythe current research is applied based on the purpose and descriptive survey regarding the data collection method. the spatial territory of the research is rasht. the number of 4 criteria and 26 sub-criteria effective in locating multi-purpose green spaces has been extracted through library studies and confirmation by experts. in the next stage, with experts’ opinions, the weight of criteria and sub-criteria was determined using the best-worst multi-criteria decision-making method by distributing a multi-stage questionnaire among 15 experts and specialists. the inconsistency coefficient calculated for all 15 experts in all pairwise comparisons was less than 0.1, which shows the reliability of the questionnaire and compatibility. next, in order to perform spatial analysis, the information layers of the indicators are digitized in gis software, and by converting the information layers into a raster and standardizing them, the final composition of the layers is discussed. then, the fuzzy areas were divided into five classes by reclassifying the final overlap map. after classifying the zones and optimal areas for the construction of multi-purpose green spaces in rasht, the area of optimal zones was calculated separately to check the capacity and capabilities of each area of rasht. results and discussionthe results of the implementation of the bwm model showed that at the level of comparison of criteria, the efficiency criterion with a weight of 0.3088 is the most important criterion among other criteria. after determining the layers’ weights by multiplying the criteria’ weights in the sub-criteria, their ranking was done separately for each dimension. therefore, at the sub-criteria level, population density with a weight of 0.120 was identified as the most important sub-criteria in the efficiency dimension. in the dimension of incompatibility, distance from high-risk facilities with a final weight of 0.023 was determined as the most important sub-criterion. proximity to residential areas with a final weight of 0.137 and distance from the fault with a final weight of 0.137 were also determined as the most important sub-criteria in the criteria of compatible uses and natural features. after the weighted final layers were standardized and analyzed based on fuzzy functions, the final combination of weighted layers was attempted to reach the zoning map of the optimal locations of multi-purpose green spaces in rasht. then, by reclassifying the final overlap map of gamma 0.9, the specified areas were classified into five categories as very suitable, suitable, relatively suitable, unsuitable, and very unsuitable. finally, this research identified two suitable and very suitable floors as optimal ranges for multi-purpose green spaces in five districts of rasht. after classifying the zones and optimal areas, the area of the optimal zones was calculated separately to check the capacity and capabilities of each district of rasht. conclusionin this research, by emphasizing the capabilities of green spaces to improve the management of residential areas after the crisis, especially planning for temporary accommodation and creating secondary shelters for residents, the optimization of the location of multi-purpose urban green spaces in rasht was done. for the final zoning of the optimal areas for the construction of multi-purpose green spaces and temporary accommodation, by extracting and scoring the essential sub-criteria in the form of four criteria as efficiency, closeness to compatible uses, away from incompatible elements, and natural features, using the integration of the new bwm multi-criteria decision making approach and fuzzy functions in the gis environment, it was determined that the largest area of the optimal area with an area of 413.64 very suitable hectares and 553.86 suitable hectares is related to the district 3 of rasht. also, district 1, with 262.59 hectares of very suitable area and 455.98 hectares of suitable area, was ranked second among the five districts of rasht. the lowest area of the optimal zones, with an area of 312.866 hectares, is related to district 5 of rasht. after re-evaluating the optimal areas according to field observations and analysis of satellite images, it was determined that there are many empty and barren lands, proximity to residential, healthcare, and sports areas, distance from incompatible uses such as polluting industries, high-risk facilities, lines electricity and energy transmission, safety and efficiency levels such as proximity to roads and densely populated areas in districts 1 and 3 are higher than other areas. in other words, it can be acknowledged that the criteria used in the research, the analysis done on them, and the research results are consistent with the real field of the studied area. therefore, based on the findings of this research, districts 1 and 3 of rasht have the most significant ability to build urban multi-purpose green spaces and establish temporary accommodation sites. fundingthere is no funding support. authors’ contributionauthors contributed equally to the conceptualization and writing of the article. all of the authors approved thecontent of the manuscript and agreed on all aspects of the work declaration of competing interest none. conflict of interestauthors declared no conflict of interest. acknowledgmentswe are grateful to all the scientific consultants of this paper.