Keywords: train information provision, train choice, passengers' behavioral mode, travel delaytrains, their reasons for choosing them, the level of difficulty in choosing trains, and also passenger reactions to being given information about arrival sequences, which turned out to be incorrect. Providing detailed information about individual trains Attitude to train traffic information in the case of disruptionsPrevious research [1, 2] has already examined and highlighted the specific types of information that passengers need when train operations are disrupted. In order to understand passengers' attitudes to traffic information and choosing trains, and to help decide how best to provide that information, the following survey was conducted: Passengers were asked to consider two ways of thinking, A and B. They were then asked to indicate which best reflected their own way of thinking, on a scale of 1 to 7 (1: very similar to A; 2: similar to A; 3: somewhat similar to A; 4: neutral; 5: somewhat similar to B; 6: similar to B; 7: very similar to B).A: Rather than reading detailed information about the trains, I want to be told exactly which train I should ride. (For example, to arrive quickly at my destination I should take this train; to avoid congestion I should ride that train, etc.) B: I will choose which train to take myself, so I want to be provided with detailed traffic information to enable me to make my own decision.

In a railway business, recovery strategies for quick recovery of railway transportation after large-scale disasters are becoming important more and more. First, this paper describes a mathematical algorithm for calculating a railway network recovery plan constituting a basic part of a decision-making support method of a railway transportation recovery strategy. Secondly, it describes the outline and the result of the recovery simulation conducted to verify the feasibility and validity of the algorithm. Finally, it outlines the development status of other parts of the decision-making support method except the algorithm. It also outlines future development plans of the method.

In order to plan high-speed rail transport services efficiently, it is necessary to be able to forecast fluctuations in passenger demand based on historical ridership data. Forecasting is difficult however, because of the number of components making up passenger demand. An effective way to forecast demand therefore should be to decompose these fluctuations into several independent demand components, which can then be forecast individually. This study applied an independent component analysis to decompose the fluctuation into several independent components. A method was then developed to forecast the fluctuation in passenger demand based on actual ridership data, calendar array, and number of people mobilized for large events.

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Hiroyuki SAKAKIBARA Yushi NAKAMURAThe object of this study is to develop a quantitative evaluation method of the convenience of public transportation networks in regional cities. In this paper, first, the theory of the quantitative evaluation method of the convenience of public transportation networks in regional cities is shown. Then, the findings concerning the way of public transportation actually used in the certain regional city obtained from the field survey in that city, and the development of the system for carrying out calculations of the convenience of transportation networks automatically are shown. Finally, the course of the development plan in the future is showed. Keywords: regional small and middle sized city, method for evaluating the level of convenience, transportation network, accessibility convenience of transportation networks automatically are shown. Finally, the course of the development plan in the future is showed.