Journal of Transportation Research

Journal of Transportation Research

Providing the Behavioral Model of Passengers in Advanced Public Transit Passengers Information Systems

Document Type : Original Article

Authors
Gholamali Behzadi 1
Reza Behzad 2
Roghayeh Jamshidi Shahmiri 2
1 Assistant Professor, Shomal University, Amol, Iran.
2 Ph.D., Student, Shomal University, Amol, Iran.
10.22034/tri.2023.349966.3054
Abstract
The increase in the population of cities along with the expansion of urban areas has led to the tendency of people to use private cars to achieve their destinations. This increase in demand for private cars has caused problems, one of these problems has been the increase in urban and rural traffic. Public transit is one of the best ways to reduce traffic, but with the growing population, public transit is also involved in traffic and lack of fast access, but for various reasons, including lack of proper information, the tendency of passengers to use public transit continues to increase significantly, has not found. Managing traffic congestion is a major problem worldwide, the intelligent transportation system is the solution to this problem using new technology used in many developed countries. Advanced traveler information systems are one of the indicators of intelligent transportation that reduces waiting time, improves the level of public transit services and makes better and more informed decisions about travel modes, planning routes and travel time. In this study, in addition to evaluating the impact of this system on people's use of public transit, variables and data affecting the selection of people are identified and their use is prioritized. In order to achieve the objectives of the research, first the influential factors were identified and then questionnaires were designed by expressing preferences and distributed and completed in Sari. The binary logit model was used to determine the behavioral model in advanced traveler information systems. The results of the model showed that factors such as knowing when the bus arrives at the station, waiting time for the bus, knowing the empty seats of the bus are more utility for people.
Keywords
Public Transportation
Advanced Traveler Information
Managing Traffic
Discete Choice Model
the Logit Model
Subjects
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