This paper proposes a land use allocation model which supports a decision of land use zoning based on a land suitability analysis. The model, employing the Hopfield neural network algorithm, optimizes allocation of land use under possible constraints. Since a zoning plan is not necessary to satisfy rigid constrains such as a proportion of land use, fuzzy constraint function with membership value are introduced in the model. The results show that this model is useful to provide a set of possible alternatives of land use allocation and it offers much flexible plans through fuzzy solutions.

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In order to keep the transportation ways for the emergency restoration, as well as to prevent the secondary damage by the aftershocks or rainfall and to carry out the detailed mapping in and around the damaged area after a large earthquake, it is important to know where slope failures are distributed and how large they are immediately after failure occurs. This paper proposes a new algorithm to detect the earthquake-induced slope failures using remote sensing images. The method can provide the morphological categories, the horizontal shapes and the sizes.
The method was applied to the Rokko Mt. area which has many slope failures triggered by the 1995 Hyogoken-Nambu earthquake. By this analysis, the accurate sizes of failures and their shapes could be computed for failures of more than 900m².

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As the road has recently been improved sufficiently, the road administrator must schedule the reasonable maintenance planning for the road bridge, the road tunnel, the road pavement and etc. Because we must have the best result in the limited maintenance budget which is invested for those road belonging's constructions. In this paper, we take up the prefectural highways pavement, and examine into the pavement maintenance planning with the help of the pavement maintenance management system that offers the prediction formula, the priority, the maintenance operation, the maintenance control level and so on. In this paper, we explain this system. Then we project the most appropriate longterm pavement maintenance planning which is simulated with the help of this system.

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A measure to evaluate the impacts of transportation policy on individuals' quality of life is developed based on a discrete-continuous choice model of activity patterns. This measure is formulated as the expected maximum utility of daily activity patterns, which is calculated based on a utility function estimated using trip diary data. The estimated utility function indicates that 1) the marginal utility of a discretionary activity decreases as its duration increases, 2) the total utility of a discretionary activity can be formulated as a logarithm function, and 3) the marginal utility of a discretionary activity is affected by the attributes of the activity location. As a case-study, values of the evaluation measure are calculated for individuals from selected residential and work areas. The results indicates that the characteristics of residence and work locations, and commuting time all affect the utility of daily activities, and that the job-residence proximity contributes to higher utility values.

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This paper presents a systematic methodology for testing of the neutrality hypothesis of traffic information based upon in-house experiments. The hypothesis insists that traffic information conveys no information when drivers behave with rational expectations. The hypothesis is formulated in the form of the combined-hypothesis, which can be effectively investigated by a multiple hypothesis testing. This paper concludes that, as far as our experiments are concerned, the hypothesis can be rejected; traffic information may have informational power even in the long-run.

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In the future, the interchange and cooperation among he areas is an important problem about the policy for the national and regional lands. It is necessary a basic theory to carry forward those policies.
It is shown their present situation and problem from to investigation, at first. So it is derived a model about the spatial demand structure of the urban function service and its proof example in part. In addition we make it clear theoretically about the effect by interchange and cooperation among the areas.

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International air transport service have been rapidly improved with increasing demand in the Asian pacific region. There are many political problems such as new airport construction, employment of ‘open sky policy’ and so on, to be solved for constructing beneficial air transport network. And it is necessary to investigate effects of international transport policy quantitatively. In this paper, the effects of network expansion are analyzed from the two points (airline's and user's) view using actual international aviation service date.

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This study aims to propose the evaluation method for improvement schemes of residential street networks for sprawl development areas. In this paper, first, rearranging improvement effects for various evaluations in studies before, viewpoints of the evaluation are clarified. Second, synthetic evaluation method using cost impact analysis is proposed. Evaluating improvement plans of collector street networks at actual sprawl development area using this method, the appropriate improvement level of collector streets is clarified.

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This study aims at analyzing drivers' behavior in acquiring and using traffic information in an environment with multiple information sources. Accordingly, information acquisition and reference models are developed in an effort to show the empirical relationship between drivers' reaction to multiple information sources and its causal factors consisting of latent psychological ones, traffic conditions at the time of traveling and the accuracy of traffic information available. A route choice model is proposed that takes into account the information acquisition and reference process. Model validity is investigated using data collected on the Tokyo Metropolitan Expressway, which has four different types of information sources. The goodness-of-fit of the proposed model was shown to be higher than that of models which did not consider the differences in individual drivers' reactions to the traffic information provided.

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This study proposes the dynamic inflow control model incorporating Linear Programming approach. This model can explicitly consider the time-dependent changes in both the inflow demand and the traffic condition on the network to estimate the optimal inflow at on-ramp which can make the capacity of urban expressway more efficient use. Especially, the speed-density relation of each link is introduced into the inflow control model to predict precisely time-of-day dynamics of traffic condition on the network. In addition, the constraint of link travel speed, as well as the constraint of link capacity, is included in the inflow control model both to prevent traffic jam and to encourage recovery from slight jam. This study examines the significance and usefulness of the proposed model through the simple numerical experiments.

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