Historical Trends in Smart City Governance for the Management of Ancient Urban Centers in Iran: A Case Study of Saqqez Municipality

Lucia  Nucci; Akbar Heydari; Najmedin  Gilani; Saleh  Aminpoor; Yang  Liu; Mehdi  Gheisari

doi:10.61838/kman.ijimob.3.3.25

Authors

Lucia Nucci Department of Architecture, Roma Tre University, Rome, Italy Author https://orcid.org/0000-0003-1169-8267
Akbar Heydari Institute of Artificial Intelligence, Shaoxing University, Shaoxing, China & Department of Geography & Urban Planning, Ferdowsi University of Mashhad, Mashhad, Iran Corresponding Author https://orcid.org/0000-0003-4703-2598
Najmedin Gilani Department of History, Ferdowsi University of Mashhad, Mashhad, Iran Author https://orcid.org/0000-0003-1465-4745
Saleh Aminpoor Department of History, Payam Noor University, Tehran, Iran Author https://orcid.org/0000-0002-0789-3943
Yang Liu Department of Computer Science and Technology, Harbin Institute of Technology, China Author https://orcid.org/0000-0002-9291-6993
Mehdi Gheisari Department of Computer Science and Technology, Harbin Institute of Technology, China Author https://orcid.org/0000-0002-5643-0021

DOI:

https://doi.org/10.61838/kman.ijimob.3.3.25

Keywords:

Urban Governance, Smart Cities, Saqqez Municipality, CLA

Abstract

Objective: This study aims to assess the risks and hazards associated with smart city governance in Saqqez Municipality, with a focus on identifying key threats across technological, organizational, and environmental dimensions.

Methodology: The research employed a quantitative approach, using a structured questionnaire distributed among experts within Saqqez Municipality. Data were analyzed using statistical methods, including structural equation modeling (SEM) to assess risk factors and their impacts across different dimensions of smart city governance.

Findings: The findings, derived from the CLA method, indicate that within the three dimensions analyzed, the organizational dimension of smart urban governance in Saqqez Municipality presents the most significant risks and threats. Within the technological dimension, artificial intelligence (0.85), pattern orientation (0.762), smart sensors (0.753), and cybersecurity (0.748) exhibited the highest factor loadings. In the organizational dimension, data preparation (0.754), electronic processes (0.817), and electronic communication (0.753) were identified as having the highest impact percentages.

Conclusion: The research concludes that comprehensive risk management strategies, including the integration of risk management organizations, establishment of a centralized data collection system, ongoing risk assessments, and recruitment of specialized professionals, are essential to enhance the safety, resilience, and sustainability of smart city initiatives in Saqqez Municipality.