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    Jun-ichi Takayama

    This study focuses on the reaction of the residents during the social experiment of bus transportation service. According to AIDA model proposed in marketing, the reaction consists of several stages. The paper will assume that the... more
    This study focuses on the reaction of the residents during the social experiment of bus transportation service. According to AIDA model proposed in marketing, the reaction consists of several stages. The paper will assume that the reaction in each stage is different from the person who lives where the service level was low and high before the experiment. Specifically, the person who lives where the service level was low does not react well because the service level has been too low to have concern for the bus service. The paper will verify this assumption using the data from the social experiment conducted in Hiraka Town. As a result, this assumption is verified. Thus the disparity of the responsiveness in the service level before the experiment exists. This paper discussed that it is not fair to use the observed responsiveness for the information basis of the bus transportation service after the experiment because of the disparity.
    The logit model based on random utility theory has often been used for discrete choice behavior analysis. In the conventional logit model, it is assumed that variables are independent of each other and that their relationship is linear.... more
    The logit model based on random utility theory has often been used for discrete choice behavior analysis. In the conventional logit model, it is assumed that variables are independent of each other and that their relationship is linear. In general, the relationship or behavior of the variables is non-linear, and the assumptions of the logit model are not always proper. Therefore, incorporating neural networks, which are suitable to make an analysis non-linearly, to the logit model is very useful. In this study, we propose the logit model using non-linear utility functions with neural network. Then, we analyze a discrete choice behavior in traffic phenomenon by the model, and examine the validity of the model.
    ─ Travel time of public transport such as railway and Light Rail Transit (LRT) is more reliable than road traffic. When assessing the effect of railway transits, the reliability should be considered. Otherwise, the effect may be... more
    ─ Travel time of public transport such as railway and Light Rail Transit (LRT) is more reliable than road traffic. When assessing the effect of railway transits, the reliability should be considered. Otherwise, the effect may be underestimated. Then, we should not only treat both transit and road users simultaneously and consistently, but also travel time uncertainty of cars and the reliability (or punctuality) of railway for exact evaluation. A network equilibrium model with combined mode and route choice considering road travel time uncertainty does not necessarily have a unique solution, but may have many local solutions, because of the interaction between modes. The simulated annealing is one of the useful techniques to such a problem, to the calculation of the network equilibrium model with combined mode and route choice. In this paper, we apply the network equilibrium model proposed to the Kanazawa urban area using the simulated annealing technique.
    This paper proposed three types of models to estimate origin destination (OD) matrix from traffic counts on links and it assumes that a set of destination choice probabilities from origin nodes is fixed as constants. Model A is formulated... more
    This paper proposed three types of models to estimate origin destination (OD) matrix from traffic counts on links and it assumes that a set of destination choice probabilities from origin nodes is fixed as constants. Model A is formulated by minimization of the sum of square errors between the estimated and the observed link flow only, Model B by minimization of the sum of square errors between the estimated and the outdated generation trips from nodded under the constraints of link flow consistency, and Model C by minimization of the total sum of the square errors in the generation trips and the link flows. Considering that the existence of errors in the predetermined and the observed data will give some influences on the accuracy of the estimates in practical applications of the model. The authors examined and compared the properties of the respective models through numerical analyses.
    This study introduces an ecotravel coordinator program to reduce car use. In this system, ecotravel coordinators are put in charge of several people. They organize ecotravel meetings and are responsible for taking the initiative. During... more
    This study introduces an ecotravel coordinator program to reduce car use. In this system, ecotravel coordinators are put in charge of several people. They organize ecotravel meetings and are responsible for taking the initiative. During the meetings participants recognize and deepen their understanding of their travel behaviors and devise their own plans for reducing car use. The aim of this study is to examine the validity of the ecotravel coordinator program through an experimental method. One result of the experiments was that the ecocoordinators and the other participants reduced their car travel mileage 54% and 48%, respectively. Nonparticipants, however, almost never reduced their travel mileage (1.4% reduction). Thus, experiment results indicate that the system is fairly effective for reducing car use.
    Evaluating uncertainty of traffic networks is very important. In order to assess the uncertainty theoretically, we need an equilibrium model that can estimate probabilistic distributions of (link) travel times or traffic volumes.... more
    Evaluating uncertainty of traffic networks is very important. In order to assess the uncertainty theoretically, we need an equilibrium model that can estimate probabilistic distributions of (link) travel times or traffic volumes. Stochastic user equilibrium (SUE) can calculate deterministic travel times, but cannot calculate variance or volatility of travel times. SUE seemed to be insufficient for assessing network's uncertainty. We develop a stochastic network equilibrium model, in which travel times and traffic volumes are random variables. The equilibrium model can estimate variances of link travel times, and evaluate the network's uncertainty. Furthermore, the model can be extended for uncertain demands by introducing hypothetical links. Thus, this equilibrium model opens the door for modeling traffic networks in uncertain environments, especially uncertain demands.
    Research Interests:
    In today's road maintenance, the traffic distribution in short periods of time such as in the morning or evening peak is necessary to determine. The aim of this study is to propose the link performance function (BPR function) that... more
    In today's road maintenance, the traffic distribution in short periods of time such as in the morning or evening peak is necessary to determine. The aim of this study is to propose the link performance function (BPR function) that focuses on such short lengths of time and the improvement of the accuracy of the BPR function that considers the vertical inclination on the road. The traffic condition was measured in the morning and evening. The relationship of actual traffic with the vertical inclination on the road was clarified by using the probe car. In addition, the root mean square rate fell by 69% in comparison with the previous estimation method by using the BPR function that considered the vertical inclination on the road, and the accuracy of reproducibility.
    In general, traffic assignment for large-scale road networks entails significant computational cost. In addition, the mathematical problem with equilibrium constraints (MPEC) (e.g., an optimal toll decision) requires iteration of traffic... more
    In general, traffic assignment for large-scale road networks entails significant computational cost. In addition, the mathematical problem with equilibrium constraints (MPEC) (e.g., an optimal toll decision) requires iteration of traffic assignment. It is important to reduce the computational cost, especially in optimal toll and other MPEC problems. In this study, route-based traffic assignment is considered to examine the route-based toll policy. In this case, accurate tolled road flows are needed; however, the same level of accuracy is not required for non-tolled roads. Thus, aggregation of routes that consist solely of non-tolled roads helps to reduce the computational cost. The authors propose a method for aggregating non-tolled general road routes using sensitivity analysis. The proposed method is applied to a simple network, and its validity and computational time reduction are examined. As a result, this method reduces the computational time by 99% under an acceptable approxi...
    This study focuses on the reaction of the residents during the social experiment of bus transportation service. According to AIDA model proposed in marketing, the reaction consists of several stages. We assume that the reaction in each... more
    This study focuses on the reaction of the residents during the social experiment of bus transportation service. According to AIDA model proposed in marketing, the reaction consists of several stages. We assume that the reaction in each stage is different from the person who lives where the service level was low and high before the experiment. Specifically, the person who lives where the service level was low does not react well because the service level has been too low to have concern for the bus service. We verify this assumption using the data from the social experiment conducted in Hiraka Town. As a result, this assumption is verified. Thus the disparity of the responsiveness in the service level before the experiment exists. We discussed that it is not fair to use the observed responsiveness for the information basis of the bus transportation service after the experiment because of the disparity.

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