چكيده به لاتين
Rapid urbanization and population growth lead to higher growth of traffic flow in urban areas. As a result, cities experience various problems, such as air pollution, road accidents, and congestion. In response to these problems, public transportation can help reduce air pollution, reduce delays, reduce fuel consumption, and increase people's living standards. Therefore, investigating and improving the performance of public transportation systems requires the use of reliable data. In the meantime, the advancement of information and communication technology in the field of public transportation has made the data of the automatic vehicle location system (AVL) and the data of the automatic fare collection system (AFC) available. One of the available solutions for investigating the performance of public transportation systems and planning for its improvement is to understand passengers' travel patterns and behavior and also identify the delays experienced by passengers. In the present study, the travel route of each passenger, which includes information on the time and location of passenger boarding and alighting stations during the day, is estimated with the help of AVL and AFC data using the travel chain model, which replaces manual statistical methods with high costs. Identifying passengers' boarding and alighting stations makes it possible to estimate the origin-destination matrix. Then, the delay along the passenger route, which includes the delay while waiting at the station, the delay along the route (inside the vehicle), and the delay when transferring between lines, is estimated. The study on the delay experienced by passengers between 4 am to 8 pm on working days of a week shows that the delay experienced by passengers has two peaks. The peaks in the morning and evening hours are eye-catching. Especially the evening peak shows passengers have experienced a high amount of delay. Also, the results show that the delay inside the vehicle with 77%, the delay while waiting with 17%, and then the delay during transfer with 6% respectively have the largest share in the total delays experienced by passengers during the studied period. The results obtained from investigating the travel behavior and estimating the delay of passengers in the network of BRT lines in Tehran can help to understand and analyze the behavior of passengers by urban transport managers and allocate strategies to reduce the delay experienced by passengers and increase passenger satisfaction, which promotes the use of Public transportation.
