The Role of Artificial Intelligence in Advancing Transportation Systems in Ahvaz: A Structural Equation Modeling Approach

Articles in Press

Document Type : Research Paper

Authors

1 Associate Professor, Department of Geography and Urban Planning, Shahid Chamran University of Ahvaz, Ahvaz, Iran.

2 Department of Geography and Urban Planning, Faculty of Literature and Humanities, Shahid Chamran University of Ahvaz, Ahvaz, Iran

10.22034/gp.2024.63748.3309

Abstract

The rapid growth of urban populations and the increasing reliance on private vehicles have exacerbated traffic congestion and air pollution in major cities, including Ahvaz. Artificial intelligence (AI), as an emerging technology, offers significant potential to address these challenges. With capabilities such as data analysis, behavior prediction, and process optimization, AI has attracted considerable attention within the transportation sector. This study aims to explore the role of AI in enhancing Ahvaz's urban transportation system. Using a descriptive-analytical approach and a structured questionnaire, data were collected and analyzed via structural equation modeling (SEM) using SPSS and AMOS software. Results indicate that the safety and monitoring index, with a factor loading of 0.87, exerts the most substantial impact on transportation development in Ahvaz, followed by logistics and fleet management, route optimization, and intelligent traffic and vehicle management. The findings underscore the importance of investing in IT infrastructure, training specialized personnel, and fostering inter-organizational coordination for the effective implementation of AI in urban transportation in Ahvaz.

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Journal of Geography and Planning

Articles in Press, Accepted Manuscript
Available Online from 30 December 2024

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