확률적 교통수단선택 및 노선배정모형 개발에 관한 연구 = A Study on the Development of Stochastic Modal Choice and Traffic Assignment

다국어 초록 (Multilingual Abstract)

In this paper, we try to find the best optimal information provision condition by evaluating travel information provision strategies and effect. A combined model of stochastic modal choice and traffic assignment has been therefore developed and applied. Three different information strategies are provided: user equilibrium base, system optimum base and in between them, according to the level of congestion and market penetration rate for the information equipment. Only two modes, bus and car are used for evaluating and calculating modal split ratio. We find that the best effects on the information provision have been shown when the congestion level (V/C) is 1.0, and the usage level of information is also from 0.4 to 0.6. As usage level become 1.0, the change of total travel cost increases, which shows potential adverse impact. In addition, a bus split ratio becomes higher, as the congestion and usage levels approach 1.0. As Thomson's contention described, when information accuracy between two modes is same, the travel information effect is higher. This is the evidence that utilization of public transportation is better than car.