Development of an Integrated Travel Demand Forecasting Model for Consensus Building

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This study proposes an integrated travel demand forecasting model for a formulation of comprehensive transport strategy and validates its usefulness as a practical tool for consensus building. In order to overcome and/or modify some drawbacks of conventional forecasting model, we develop a semi-dynamic combined network equilibrium model including an activity-travel model. From the application results of an actual metropolitan area, it was demonstrated that our model is useful from the both of reproducibility and computational efficiency. After that, we evaluate PDS (parking deposit system) which proposed to improve public acceptance of road pricing, and LRT (light rail transit) which might be contributed to the vitalization in city center.