Driver's functional visual environment are decided mainly by roadway alignments and cross sections. In this paper, studies about sight distance are reviewed, and relatively new concept, “preview sight distance (PVSD)”, which definition is re-examined by author, is proposed as a evaluator of driver's functional visual environment. Though horizontal and vertical alignments are usually defined separately on two-dimensional plane, the three-dimensional exact definition of road geometry including road alignments and cross sections is introduced. At last, utilizing this three-dimensional road geometry definition, the algorithm for calculating PVSD, at any point of driver's view simultaneously, is proposed.

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The present paper aims to develop a multi-project planning system consisted in the hibread system of the project schedule optimization model and the regional economic simulation model. Moreover, the algorithm for the optimization of the project schedule is developed. The system is applied to the empirical case study on Maibara City Master Plan and analyze the relation between the project schedule and the impact of the project to the regional economy. From the computation results, the relation between the optimal project schedule and the population growth can be understood.

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This paper proposes a prediction method of household type distribution by small zone in a city. This method was applied to Sendai city. Number of household by family type and by age of the head of family is defined as the household characteristics of a zone. The historical changes for five years of the household characteristics by prefectures were successfully estimated using Frater method. Major findings of this study are as follows: 1) The proposed method was confirmed to have good accuracy. 2) This method improved shortages of existing methods, which can be applicable to small districts, deals with detailed classification of household, and have high availability and interpolation of variables for policy making. 3) Aged family will increase in the urban center and young people will increase in surrounding area. Families with some kids or children will increase in outskirt of those area.

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This study aims to build a travel frequency-forecasting model based on the community bus services, these services are specially considered as easy to access by elderly passengers. The travel frequency-forecasting model is used to forecast each bus passenger's travel frequency per day. This forecasting model is composed of two models, which are as follows: one is the model estimates the individual choice ratio of travel frequency by present transport mode, and the second model forecasts the growth of travel frequency by using the community bus services, specially considered for elderly passengers. It is aimed that this forecasting model will enable the forecasting of unmet demand behind the present bus services when the new types of bus services are introduced.

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