Study On Park And Ride Behavior

Traffic jam and the lack of parking lots are the main problems that troubled a lot of domestic and foreign metropolis. In order to resolve the problems, people have tried out many methods. The initial idea is to expand the capacity of road and build parking facilities, but the construction of a large number of new facilities is unrealistic for the limited urban space. According to the experience of foreign countries, Park & Ride (P&R) is an effective method to relieve the traffic pressure in the centre district. It enables the persons who go out by their private car to park at the border of the city and transfer to the public transport with high capacity. Thus it can reduce the car quantity entering the center, relieve the road jam, increase the traffic efficiency and make the traffic system improved. Some countries in North America and Europe and Japan have successfully built the P&R system. In China, in order to alleviate the traffic jam in metropolis, promote the development of railway transportation, save the energy and protect the environment, P&R system is in actively planning in metropolis such as Beijing, etc. In order to improve the science in the planning of P&R system, make the system fully utilized and make the expend of the traffic project from the government produce the greatest economic and social benefit, it is necessary to do research on P&R behavior. This paper targets at the building of P&R system in Beijing and does research from behavior. It firstly reviewes the relevant studies about P&R at home and abroad in which the foreign research are emphasized because the domestic research has just started. Then it summaries the concept, origin, classification of P&R system and the basic elements influencing P&R behavior and introduces the design method and the basic conclusions of the P&R behavior survey carried in metropolis—Beijing. Then it analyzes the P&R choice preference by Optimal Scaling Analysis under different sex, age, occupation, income, etc. After introducing the random utility theory, this paper sets up two P&R choice behavior logit models on weekday's data and weekend's data respectively and analyzes and tests the models. The results show that the precision of...