The objective of the study is to analyze the effect of choice set on the estimation of non-IIA discrete choice models for two choice situation of railway route choice and day-return recreational destination choice model. Firstly, The day-return recreational destination choice model for non-IIA choice model is formulated using the idea of two elements of similarity. Secondary, we succeed to estimate multinomial probit model and mixed logit model for choice set with 10 alternatives. Finally, the effect of choice set on the estimation is deeply considered using actual and imaginary datasets.

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Economic choice models assume the “instrumental rationality” of the individual, where each decision maker is a utility maximizer with perfect information. This paper introduces and discusses other concepts of rationality, “procedural rationality” and “expressive rationality”, which relax the assumption of instrumental rationality considering the limitation of human being's cognitive resources. Then, we focus on “bounded rationality”, which is the most well-known case of the procedural rationality, and discuss it in the context of decision making strategy. Finally, we show the methodology to develop choice models based on bounded rationality where various decision making strategies including the instrumental rationality are incorporated in a single framework.

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The traditional method of travel demand forecasting that is based on person trip surveys is now reviewed. One of the main issues in this scheme is reconstruction of travel behavior survey. The expected role of travel behavior survey should shift from capturing travel demand to comprehending travel behavior for the next generation of travel demand forecasting. Corresponding this problem, we investigated the validity of activity diary survey as a supplement of person trip survey using actual data. Travel behaviors of aging people are analyzed for this purpose. We found some typical properties of their travel patterns that are related with their time use and activity patterns.

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There are disaster-fragile areas where old buildings are densely located and infrastructures are very poor. The areas have not been developed for many years just by private initiative so that they result in serious urban issues. This paper models such a situation so as to examine the effects of urban development policies. The model is based on the concept of self-fulfilling equilibrium with choice of development timing. According to Benefit Incidence Table Approach, we showed that social net benefit of urban development policies consists of the construction cost, the business cost burdened by the landowners and the benefit of the disaster prevention performance improvement enjoyable for the building users in the whole disaster-fragile area.

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The water quality improvement policies are urgently demanded in closed water areas today. There are, however, some conflicts of interests among economic agents, where application of comprehensive evaluation is required in order to check the feasibility of the policies. In this paper, we build the computable general equilibrium (CGE) model that catches the accumulation of the pollutant load, and analyze the incidence benefits induced by the water quality improvement policies in the closed water area. We formulate the mathematical programming with the equilibrium constraint that is CGE model and with the objective function that is the maximization of the social welfare. We distribute the reduction pollutant load in each regions and in each economic agents for water quality improvement by solving the MPEC with genetic algorithm (GA).

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In the urban area, development of railway capacity and dispersion of demand are thought to relieve congestion in peak time. In order to evaluate the effects of these measures, a network assignment model based on a time-space network is developed, called the Commuter Demand Concentration Model. Utilizing OD tables, railway capacity data, and information of working time system as input, this model gives congestion levels at each time and at each zone. Then, this model is applied to Tokyo's railway network, and it turned out that it can estimate commuter demand over time with reasonable accuracy. Finally, we can make a forecast for Tokyo's railway demand in the future, considering possible changes in the working system and railway capacity.

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In waterfront development, a lot of maintenance of the stroll road called a promenade is seen. When it is planned and is designed, an extremely functional, efficient methods by which the execution cases and the profit, etc. are considered seems to be adopted. However, maintenance by which it is assumed to be an outline to improve the quality of the promenade space is one of the methods. Then, this study purpose is the grasp of the role that the stroll road of WF possesses and the space composition to form the area of the promenade space to be able to demonstrate the role. To accomplish this purpose, the local questionnaire investigation was done. As a result, 3 roles which the stroll road of WF possessed and space composition (D/H, design of the building) to which promenade space area where role of stroll road can be demonstrated can be formed was understood.

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Track driving tests for toll gate models have been conducted to investigate the traffic capacities for three types of toll gate control system i. e., a manned control system, an unmanned control system and an unmanned non-control system.
The difference of traffic capacities between three types of toll gates is clarified and a method to estimate the traffic capacity of an unmanned non-control system is proposed for the design of toll gates.

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The macroscopic traffic simulation model on urban expressway is formulated and it is integrated to including the microscopically description of the behavior of individual vehicles on the mainline. The purpose of the integration of model is to corresponding with advanced traffic control systems including intelligent transport systems technologies, such as traffic information to the individual vehicles. The objective route is the Osaka-Sakai route of Hanshin Expressway. The vehicles behaviour during the morning peak hours on a weekday is estimated by using the proposed model. It is understood that the individual vehicles behaviour are classified into several patterns based on the flowing time periods. It is corresponding with the macroscopic dynamic traffic condition that is estimated by the macroscopic traffic simulation.

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