ارزیابی پایداری شهری و محیطی از طریق رشد هوشمند شهری نمونه موردی: شهر جلفا

باتوجه‎به پیشرفت فنّاوری و امکانات در سطح شهرها در سال‎های اخیر، جمعیت زیادی از مردم جهان به سمت زندگی شهری در حال حرکت بوده‎اند. همان‎طور که برآورد می‎شود تا سال 2030، بیش از 60 درصد از جمعیت جهان در موقعیت جغرافیایی شهری زندگی خواهند کرد، بنابراین، حفاظت از شرایط محیطی برای پایداری در راستای افزایش سریع جمعیت شهری در سراسر جهان، نیازمند دانش گسترده‎ای از اقدامات ابتکاری شهر هوشمند است؛ اما در حال حاضر ذی‎نفعان، تصمیم‎گیرندگان، برنامه‎ریزان و توسعه‎دهندگان شهر با اطلاعات ناکافی موردنیاز دررابطه‎با ابعاد شهر هوشمند برای دستیابی به محیط شهری پایدار مواجه هستند. هدف تحقیق حاضر، سنجش پذیرش شهر هوشمند به‎عنوان راه حلی برای رسیدن به پایداری شهری و محیطی در جلفا است. روش تحقیق به‎صورت توصیفی تحلیلی است و از نظر هدف، کاربردی است. حجم نمونه 25 نفر از متخصصین فناوری اطلاعات و مدیران شهری و اساتید شهر جلفا است. برای پایایی سوالات از آلفای کرونباخ و ترکیبی استفاده گردید. برای تجزیه‎وتحلیل اطلاعات از معادلات ساختاری با استفاده از نرم‎افزار spss و smart pls استفاده شده است. یافته‎ها نشان می‎دهد که زندگی هوشمند دارای قوی‎ترین اثر با ضریب مسیر 0.659 (‏0.433) است و پس از آن محیط هوشمند 0.439 (‏0.193)‏، تحرک هوشمند 0.346 (‏0.119)‏، دولت هوشمند 0.273 (‏0.740)‏، مردم هوشمند 0.240 (‏0.058)‏ و در نهایت اقتصاد هوشمند با ضریب مسیر 0.189 (‏0.036) دارای اثرگذاری هستند. همچنین نتایج حاصل از داده‎های نظرسنجی تحلیل ‎شده تابید می‎کند که ابعاد شناسایی‎شده شهر هوشمند در تسهیل پذیرش شهر هوشمند در شهر جلفا قابل‎اجرا است و می‎تواند به بهبود پایداری شهری و محیطی در جلفا منجر شود.

assessing urban and environmental sustainability through smart urban growth case study: julfa city

due to the advancement of technology and facilities at the city level in recent years, large populations of people around the world have been moving towards urban life. it is estimated that by 2030, more than 60% of the world’s population will have been living in an urban geographical location, so protecting the environment for sustainability in order to rapidly increase the world’s urban population requires extensive knowledge of smart city initiatives. however, nowadays, city stakeholders, decision makers, planners and developers face insufficient information on the dimensions of a smart city to achieve a sustainable urban environment. the purpose of this study is to measure the acceptance of smart city as a solution to achieve urban and environmental sustainability in julfa. the research method is descriptiveanalytical and is applied in terms of purpose. the sample size is 25 it specialists, city managers and professors of julfa city. cronbach’s alpha and hybrid alpha were used for reliability of the questions. structural equations were used to analyze the data using spss and smart pls software. findings show that intelligent life has the strongest effect with a path coefficient of 0.659 (0.433), followed by intelligent environment 0.439 (0.193), intelligent mobility 0.346 (119/11). 0), smart government 0.273 (0.740), smart people 0.240 (0.058), and finally smart economy with a path coefficient of 0.189 (0.036). the results of the analyzed survey data also confirm that the identified dimensions of the smart city can be implemented to facilitate the acceptance of the smart city in jolfa and can lead to improved urban and environmental sustainability in jolfa.extended abstract1introductionachieving a smart city in julfa, there is a need for decision makers and planners (city developers) to make strategic decisions about how to implement the dimensions of a smart city. therefore, there is a need to identify the dimensions of the smart city to be adopted by policy makers in the implementation of the smart city of julfa to achieve urban and environmental sustainability. due to the lack of a comprehensive definition of a smart city, the initiatives that exist to achieve this goal need to be explained by academics and stakeholders. by achieving the desired approach, a connection can be established between policy makers and urban planners. one of the obstacles to reach the smart city in iran, as well as the city of julfa, is the lack of sufficient budget. urban intelligence is not a priority for government agencies; therefore, the work of contractors and builders is not monitored. in the relevant institutions, training on intelligence is not provided and at present most stakeholders do not have the necessary knowledge. it should be noted that some people still prefer traditional systems; therefore, there are many obstacles to urban intelligence in iran. given the increasing urban population and environmental requirements, the need for urban intelligence is undeniable. this study seeks to answer the question of how urban and environmental sustainability can be achieved in julfa by adopting smart city methods?2materials and methodsthe present study is a descriptiveanalytical one. the sampling method is based on nonprobability sampling and purposive sampling. 25 experts with experience in smart city and sustainable urban planning and urban management (urban and information and communication technology specialists) were used to collect the data. it should be noted that for the expertcentered example, according to the researchers’ findings, there are no restrictions and no specific formula and optimal limit has been set for it. designed; therefore, survey tool questions are developed based on previous research studies on the smart city. questions were used to confirm the dimensions of the smart city using the likert scale with five categories of answers (15) in which &1& is strongly opposed and &5& is strongly agreed. accordingly, data were collected from 45 respondents to validate the dimensions of the smart city, which were collected in the research literature. spss and modeling of structural least squares equations (pls sem) were used to analyze. the plssem method is a variancebased method that uses path analysis of dimensions or variables in a model using smart pls software to analyze the data. in this study, plssem was used, because it is considered as a comprehensive statistical technology that supports simultaneous modification and evaluation of the research model that examines the correlation between dimensions. in addition, plssem is suitable for models that contain multiple hypotheses.3 results and discussion the present study has six hypotheses. the results show the coefficients of different paths of hypotheses prioritized as hypothesis 6 with the strongest effect of 0.659 (0.433), hypothesis 5 with 0.439 (0.193), hypothesis 4 with 0.346 (0.119), hypothesis 3 with 0.273 (0.740), hypothesis 2 with 0.40 (0.058), and finally hypothesis 1 with / 189 0 (0.036), respectively; therefore, the relationship of the assumed path (hypothesis 1 hypothesis 6) is statistically significant, since the value of r2 is greater than 0.1 and the p value is less than 0.05. findings from this study show that smart economy indicators positively determine smart city acceptance. this may be argued for by the fact that the smart economy is a city driven by entrepreneurship, innovation, labor market flexibility, and the degree to which financial competition improves. this is in line with the findings of a previous study in which researchers noted that smart economies bring about competitiveness that is not only attractive to investors, but also important for attracting citizens to maintain a key global position. smart environment indicators positively predict smart city acceptance. this is because the smart environment includes the attractiveness of the city’s natural conditions in relation to pollution reduction, sustainable use and natural resource management. in addition, it includes critical aspects of sustainability, such as increasing environmental protection, reducing the need for natural resources, and energy efficiency.4 conclusionaccording to the main research question, “to what extent do the main dimensions of the smart city (economy, citizen, environment, life, mobility, government and people) positively affect the adoption of the smart city?”, the results show that smart life has a positive effect on smart city acceptance. this is in line with the findings of the theoretical foundations of the research confirming that smart life is done to improve the quality of the life of citizens by transforming residential areas, offices, transportation infrastructure and energy into smart environments. in addition, the results of the present study show that smart life increases citizens’ understanding of how people use technology to create a sustainable environment. apparently, smart life requires the integration of all elements that contribute to the happy and comfortable life of citizens by providing smart facilities and services activated by the latest technology.