مدل شاخص‌های پایداری در بوم‌شهرها با رویکرد موتور هوشمند چت جی‌پی‌تی

نوع مقاله : علمی-پژوهشی

نویسندگان

1 دکتری، مدیریت بازرگانی، دانشگاه تهران، تهران، ایران

2 دانشیار، گروه مدیریت منابع انسانی ، دانشکده منابع سازمانی، دانشگاه علوم انتظامی، تهران، ایران

چکیده

با افزایش جمعیت شهری و فشارهای زیست‌محیطی، ارزیابی و مدیریت بهینه منابع و عوامل مؤثر بر پایداری شهری اهمیت ویژه‌ای یافته است. فناوری‌های نوین هوشمند می‌توانند در طراحی مدل‌های شاخص‌های پایداری نقش مهمی ایفا کنند. این مطالعه به بررسی مدل شاخص‌های پایداری در بوم‌شهرها با استفاده از موتور هوشمند چت جی‌‌پی‌‌تی پرداخته است. این موتور مبتنی بر هوش مصنوعی و یادگیری عمیق، توانایی تحلیل خودکار داده‌ها و استخراج الگوهای رفتاری شهری را دارد. روش تحقیق این پژوهش با هدف کاربردی و ماهیت اکتشافی در دو فاز انجام شده است. در فاز اول، موتور هوش مصنوعی چت جی‌پی‌تی برای جمع‌آوری داده‌ها مورد استفاده قرار گرفت. پرسش‌های مرتبط با شاخص‌های پایداری شهری به‌طور پیوسته از سامانه پرسیده شد تا زمانی که پاسخ‌ها به مرز اشباع رسیدند. در فاز دوم، داده‌ها کدگذاری و تحلیل شدند. کدها به دسته‌های بزرگ‌تر و مضامین مرتبط تقسیم شدند. روایی و پایایی داده‌ها از طریق روایی محتوایی و پایایی کاپا با توافق بالای 70 درصد از سوی خبرگان تأیید شد. یافته‌ها حاکی از ده مضمون با محتوای پایداری زیست‌محیطی، بهبود زیرساخت‌ها و فناوری‌های هوشمند، توسعه اجتماعی و آموزش، سلامت عمومی و کیفیت زندگی، مدیریت منابع آب و محافظت از محیط‌ زیست، اقتصاد پایدار و کسب‌وکارهای نوآور، امنیت شهری و پاسخ به بحران، معماری و طراحی پایدار، کشاورزی شهری و امنیت غذایی، فرهنگ و هویت شهری بود که نشان‌دهنده کاربرد گسترده فناوری‌های هوشمند در بهبود شاخص‌های پایداری بوم‌شهرها است.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

The Sustainability Index Model in Eco-Cities Using the GPT Chat Engine

نویسندگان [English]

  • Mohammad Amin Torabi 1
  • Hajieh Rajabi Farjad 2
1 Ph.D, Department of Business Administration, University of Tehran, Tehran, Iran.
2 Associate Professor, Department of Human Resources Management, University of Police Sciences, Tehran, Iran, Kerman, Iran.
چکیده [English]

With the increase in urban population and environmental pressures, the evaluation and optimal management of resources and factors influencing urban sustainability have gained significant importance. Advanced intelligent technologies can play a crucial role in designing sustainability index models. This paper examines the sustainability index model in eco-cities using the GPT chat engine. This engine, based on artificial intelligence and deep learning, has the capability to automatically analyze data and extract urban behavioral patterns. The research method in this study, aimed at practical application and exploratory nature, was conducted in two phases. In the first phase, the GPT AI engine was used to collect data. Questions related to urban sustainability indices were continuously asked of the system until the responses reached saturation. In the second phase, the data were coded and analyzed. The codes were then categorized into larger groups and related themes. The validity and reliability of the data were confirmed through content validity and Kappa reliability with over 70% agreement among experts. The findings indicate ten themes, including environmental sustainability, improvement of infrastructure and smart technologies, social development and education, public health and quality of life, water resource management and environmental protection, sustainable economy and innovative businesses, urban security and crisis response, sustainable architecture and design, urban agriculture and food security, and urban culture and identity. These findings demonstrate the extensive application of intelligent technologies in improving sustainability indices in eco-cities.

کلیدواژه‌ها [English]

  • Sustainability
  • Sustainability Indices
  • Eco-City
  • GPT Chat
  • Sustainable City

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