مقاله انگلیسی رایگان در مورد تحلیل چالش های پذیرش اینترنت اشیا و هوش مصنوعی برای شهرهای هوشمند – MDPI 2021

مقاله انگلیسی رایگان در مورد تحلیل چالش های پذیرش اینترنت اشیا و هوش مصنوعی برای شهرهای هوشمند – MDPI 2021

 

مشخصات مقاله
ترجمه عنوان مقاله تجزیه و تحلیل چالش های پذیرش اینترنت اشیا (IoT) و هوش مصنوعی (AI) برای شهرهای هوشمند در چین
عنوان انگلیسی مقاله Analyzing the Adoption Challenges of the Internet of Things (IoT) and Artificial Intelligence (AI) for Smart Cities in China
انتشار مقاله سال ۲۰۲۱
تعداد صفحات مقاله انگلیسی  ۳۵ صفحه
هزینه  دانلود مقاله انگلیسی رایگان میباشد.
پایگاه داده  نشریه MDPI
مقاله بیس این مقاله بیس میباشد
نمایه (index) JCR – Master Journal List – Scopus – DOAJ
نوع مقاله
ISI
فرمت مقاله انگلیسی  PDF
ایمپکت فاکتور(IF)
۳٫۴۷۸ در سال ۲۰۲۰
شاخص H_index ۸۵ در سال ۲۰۲۱
شاخص SJR ۰٫۶۱۲ در سال ۲۰۲۰
شناسه ISSN ۲۰۷۱-۱۰۵۰
شاخص Quartile (چارک) Q1 در سال ۲۰۲۰
فرضیه ندارد
مدل مفهومی ندارد
پرسشنامه ندارد
متغیر دارد
رفرنس دارد
رشته های مرتبط مهندسی فناوری اطلاعات، کامپیوتر، شهرسازی
گرایش های مرتبط اینترنت و شبکه های گسترده، هوش مصنوعی، طراحی شهری
نوع ارائه مقاله
ژورنال
مجله / کنفرانس پایداری – Sustainability
دانشگاه Department of Civil and Architectural Engineering, Qingdao University of Technology, China
شناسه دیجیتال – doi https://doi.org/10.3390/su131910983
کد محصول E15918
وضعیت ترجمه مقاله  ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید.
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Abstract:

Smart cities play a vital role in the growth of a nation. In recent years, several countries have made huge investments in developing smart cities to offer sustainable living. However, there are some challenges to overcome in smart city development, such as traffic and transportation management, energy and water distribution and management, air quality and waste management monitoring, etc. The capabilities of the Internet of Things (IoT) and artificial intelligence (AI) can help to achieve some goals of smart cities, and there are proven examples from some cities like Singapore, Copenhagen, etc. However, the adoption of AI and the IoT in developing countries has some challenges. The analysis of challenges hindering the adoption of AI and the IoT are very limited. This study aims to fill this research gap by analyzing the causal relationships among the challenges in smart city development, and contains several parts that conclude the previous scholars’ work, as well as independent research and investigation, such as data collection and analysis based on DEMATEL. In this paper, we have reviewed the literature to extract key challenges for the adoption of AI and the IoT. These helped us to proceed with the investigation and analyze the adoption status. Therefore, using the PRISMA method, 10 challenges were identified from the literature review. Subsequently, determination of the causal inter-relationships among the key challenges based on expert opinions using DEMATEL is performed. This study explored the driving and dependent power of the challenges, and causal relationships between the barriers were established. The results of the study indicated that “lack of infrastructure (C1)”, ”insufficient funds (C2)”, “cybersecurity risks (C3)”, and “lack of trust in AI, IoT” are the causal factors that are slowing down the adoption of AI and IoT in smart city development. The inter-relationships between the various challenges are presented using a network relationship map, cause–effect diagram. The study’s findings can help regulatory bodies, policymakers, and researchers to make better decisions to overcome the challenges for developing sustainable smart cities.

۱٫ Introduction

The rapid migration of people to urban areas from rural areas is causing a burden on big cities. The city councils and local governments are facing issues in managing the essential needs of huge populations. On the other hand, global warming, climate change and technology’s move towards renewable energy has pushed the revolution of smart cities, which aim to provide all essential needs to the public without causing many negative impacts on the environment.

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