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<p>This study explores the transformative role of Internet of Things (IoT) technologies in sustainable urban planning, with a focus on smart city development. By integrating IoT-driven real-time monitoring, disaster management, and energy and waste management, the study examines their mediated effects on sustainable urban growth. Data were collected using quantitative methods across various urban projects, analyzed via Structural Equation Modeling with Principal Component Analysis (SEM-PCA). Results highlight significant mediated relationships, especially in real-time monitoring (coefficient = 0.278), disaster management (coefficient = 0.086), and energy and waste management (coefficient = 0.082), underscoring IoT’s potential in fostering urban resilience. These findings provide actionable insights for policymakers and urban planners, demonstrating how IoT can optimize resources, enhance safety, and improve livability. This research thus contributes to the body of knowledge on sustainable urban development, offering a framework for IoT integration in smart city planning and promoting data-driven urban sustainability.</p>

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Analytical approach to smart and sustainable city development with IoT

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年7月2日

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  • Ahsan Waqar,
  • Tarek A. H. Barakat,
  • Hamad R. Almujibah,
  • Abdullah Mohammed Alshehri,
  • Hashem Alyami,
  • Masoud Alajmi

摘要

This study explores the transformative role of Internet of Things (IoT) technologies in sustainable urban planning, with a focus on smart city development. By integrating IoT-driven real-time monitoring, disaster management, and energy and waste management, the study examines their mediated effects on sustainable urban growth. Data were collected using quantitative methods across various urban projects, analyzed via Structural Equation Modeling with Principal Component Analysis (SEM-PCA). Results highlight significant mediated relationships, especially in real-time monitoring (coefficient = 0.278), disaster management (coefficient = 0.086), and energy and waste management (coefficient = 0.082), underscoring IoT’s potential in fostering urban resilience. These findings provide actionable insights for policymakers and urban planners, demonstrating how IoT can optimize resources, enhance safety, and improve livability. This research thus contributes to the body of knowledge on sustainable urban development, offering a framework for IoT integration in smart city planning and promoting data-driven urban sustainability.