Document Type : Research Paper
Authors
1
Academic Member of Center for Education Culture and Research (ACECR)
2
Professor, Department of Urban and Regional Planning, Tabriz University, Tabriz, Iran
10.22034/gp.2025.64375.3323
Abstract
Abstract
Traffic congestion is one of the destructive effects that the rapid growth of cities, excessive population growth, and its unreasonable dispersion leave on both natural and cultural environments. This rapid growth, on the one hand, and the development of new technologies such as the Internet of Things, on the other hand, have confronted cities with new challenges. Numerous efforts have been made to mitigate these negative effects, one of the most significant is the strategy of utilizing new and smart technologies. This research is applied in its objective side, and descriptive-analytical in terms of its research type and nature. In the qualitative section, the thematic analysis technique and Maxqda software were used, while in the quantitative section, the Swara technique was brought into play to determine the importance coefficient, and Smart PLS software was used to determine the influence coefficient of barriers.
Based on the research findings, it was found that many qualitative and quantitative factors influence the smartness of urban transportation. Seven factors (policy-planning, economic-investment, security-legal, physical, managerial-organizational, cultural-social, and technical) were identified as the most important drivers & barriers. The findings pinpoint that factors such as weak integrated urban management, lack of targeted programs and clear vision, failure to recognize strengths, weaknesses, opportunities, and threats in the smart urban transportation domain on the Internet of Things platform, lack of smart sensor installation throughout the area, absence of traffic sensors, environmental monitoring and analysis, underdevelopment of fiber optic networks, wireless internet, and 4G and 5G connectivity, lack of automatic accident detection systems, moving weigh-in-motion systems, and weaknesses in traffic management software are the most critical barriers to the smartening of Tabriz's urban transportation system.
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