A new method to evaluate urban road networks from the viewpoint of pedestrian crossings is proposed in this paper. Two kinds of public facility location models are used to exclude the effect of the location pattern of peoples' destinations. Hypothetical penalty links are introduced into the constraints of the model to express pedestrians' crossings at major road links. A computaion is tested in a small city with six alternative plans. It is found that the area! balance or intervals of a major road network is important to harmonize the road network with location of facilities for pedestrian users.

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The face-to-face communication processes are assumed to be composed of two distinct processes: matching and agreement processes. In the former process, individuals are encouraged to search for meeting partners, while, in the latter, the matched pairs negotiate whether they meet each other. The individual behaviour in a dynamic context is described by using Bellman's principle of optimality. The equilibrium concept emerges as a stationary state where all individuals behave with rational expectations in non-cooperative fashions. A comparative static analysis is made to evaluate the impacts of policy variables upon the individual interactability.

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When planning the alignment of a highway in a mountainous area, it is important to consider about geomorphologic and geological conditions in addition to highway engineering's one. Surveys based on the stereo-viewing of aerial photographs are extremely useful because it presents much information about these conditions at the stage of route planning. This paper proposes a 3-dimensional highway alignment planning system in virtual space applying B-spline curve and utilizing stereo-viewing of the aerial photographs.

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Roadside land use is one of the major factors which influence a long-term urban form and environmental quality. This study aims to develop a practical method for analyzing roadside land use pattern and its change based on a neural network model. Neural network model is regarded as a powerful method to describe complicated phenomena with a high non-linearity, however, it is often utilized as a black box, without logical interpretation. This study tries to overcome the crucial shortcoming existing in neural network by adding a detecting function of controversial and redundant description and to enlarge the applicability of neural network to land use analysis.

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In researches which analyze international transportation activities, “shortest-traveling-time” is often used as an accessibility index. However, it does not appropriately reflect the characteristics of inter-city and international transportation. In this study, we aim at showing the validity of “piled-up-traveling-time” as an index for analysis of international transportation. We first examine its validity by developing airport choice models and trip generation models. Then we analyze the international accessibility of Japanese cities. From these analyses, we show the change of accessibility caused by transportation project such as Kansai International Airport.

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The texture of falling and flowing water has its own variety of shapes. Combining river structure and this texture in a good design will only be possible with the establishment of a hydraulics derived estimation methodology. Three types of full scale experiments on falling and flowing water were carried out to accumulate basic data. The texture of falling water was classified into three categories for both free falling and slope falling water. And the texture of flowing water, into another three categories. CG (Computer Graphics) are used to visualize the results of the estimation. The practical use of the alpha channel and the texture mapping is important in the visualization.

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The recursive estimation model of dynamic O-D matrices is proposed. This model estimates the dynamic O-D flows on multiroute networks from measurements of traffic flows. No target O-D matrices and no information about a prior O-D pattern are needed. The estimation problem is formulated as two level optimization problem, in which the upper level problem estimates the dynamic O-D proportions and the lower level problem estimates user equilibrium traffic flows. The heuristic algorithm is proposed to solve such two level optimization problem. Experiments with simulated date suggest that the proposed model is useful for estimation of dynamic O-D flows even when the O-D proportions are time varying.

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Toll pricing systems by cordons are regarded as effective measure to improve urban environment and to collect funds for transportation infrastructure improvement. This study clarifies effect and contrivance of Oslo system, to give hints for other cities that are planning to introduce toll cordon system.
Firstly, this research shows that the effect of Oslo system on traffic volume is not small in the long term. Secondly, traffic problems related to Oslo system are examined. Thirdly, the relationship between urban form and distribution of toll gate is analysed. From the concept of “Commuting Pressure, ” Oslo's urban form is suitable for toll control and their cordon lines are well designed.

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The method with which amore reliable RP data set could be derived is proposed. It is the composition of the data collected with questionair to the drivers who actually using Tokyo Metropolitan Expressway and AVI data and vehicle detector data collected by Traffic Control Center system of the Expressway. The purpose of the study, using these data, is to develop a better route choice model and to validate it with the actual data. This report deals with the outline of the method of data collection and data treatment, and with the basic analysis such as data reliability or error rate of answers.

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