International Journal of Transportation Engineering

International Journal of Transportation Engineering

Analyzing and Predicting Fatal Road Traffic Crash Severity Using Tree-Based Classification Algorithms

Document Type : Research Paper

Author
Associate professor Department of Geography Education, Farhangian University, P.O. Box 14665-889, Tehran, Iran
Abstract
School transportation services operate in connection with the urban transportation network. The compatibility of the network’s carrying and congestion capacity depends on the functional system of its activities across temporal and spatial dimensions to enable adaptive performance. This study aims to examine the rhythmic structure of private school transportation services in Zanjan city and their role in generating and reproducing traffic within urban networks. The research employs a qualitative-exploratory methodology with an applied focus. Data were collected from a sample of over 200 school transportation services using interviews and observations. The collected data were analyzed and categorized using a rhythmic interpretation approach, considering variables such as movement patterns, routing, traffic nodes, origins and destinations, temporal characteristics, routes, spatial occupation, and functional amalgamation, and implemented in a Geographic Information System (GIS). The findings indicate that the functional structure of private school transportation services in Zanjan operates at the urban scale and is dependent on the origin-destination system of residences and schools. The results show that the functional rhythm of these services in central city schools peaks in the afternoon, whereas in peripheral areas it peaks in the morning. The main arterial and primary road networks serve as the framework for the movement and traffic system of these services, operating proportionally to residential weights and traffic nodes. Consequently, the study concludes that the functioning of private school transportation services in Zanjan is based on regional and urban traffic patterns. Given the size and spatial scale of the city, the flows of these services exhibit relatively long temporal and spatial intervals.
Keywords

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