Institute of Transportation, MOTC

Jhih-Jia Li, 2007.01
Graduate Institute of Transportation Science, Tamkang University

　　In the recent years with the progress of Information and communication science and technology, the Intelligent Transportation System (ITS) has been applied to solve the transportation problem by the various countries. Wherein the Advanced Traveler Information Services (ATIS) is built to provide the real time traffic information and the guidance of route, and also assist the road user to make the decision of travel efficiently. This study aims to development the business model and the financial model that are used to analysis the government and the private operator participating the deployment and operation of the traffic information service system. Besides the questionnaire of the stated preference survey is utilized to collect the degree of preference and the characteristic of travel for the traffic information service, in order to predict the market reverence in the future.

　　In the cost of the system, the study plans the range of deployment which includes the national freeway network, the expressway and the major province highway. The vehicle detector is deployed to collect the data of traffic volume and speed in the each segment of road, and the closed circuit television is employed to collect the data of volume and image under surveillance. In all of the above facilities, the total deployment cost is about 3.75 billions dollars, and the maintenance cost is about or is about 256 millions dollars for every year.

　　In the revenue of the system, the study applied Disaggregate Modal Choice Model to analyze the traveler’ choice behavior on the usage of the traffic information, wherein the user types include the traveler used to use the traffic information via the mobile and non-mobile approaches, and the traveler not used to do. The stated preference data is used to develop the multinomial and the nested Logit models in the study. The calibration of models which employed the maximum likelihood ratio method, shows the multinomial Logit model posses the better result of explanation, then it is used to estimate the original business(OB) revenue, which is from the rates of the basic service and the added value service. Besides the rent revenue of traffic information platform is also the major revenue for the system. In the basic year the OB revenue of traffic information service is about 155 millions dollars, and until the objective year the revenue is about 1.22 billions dollars, and the rent revenue of platform is about 25 millions dollars in each year. For the self-liquidating the demanded revenue of non-OB is among 33 millions dollars to 226 millions dollars for the various alternative of rate, and the pay-back periods is about 33 years. Under the franchise year that designed as the pay-back periods, and without the consideration of non-OB, this study find that the ratio of self-liquidating is between 16.13％ to 121.46％.