Experiment of Activity-Travel Survey System with Scheduling System

In order to discuss or evaluate policies for a smart city (e.g. urban transport systems), it is effective to develop an agent-based simulation that can reproduce individual travel behavior and social interaction. An activity-travel data is needed to develop a behavior model, but it is becoming difficult to collect these data over a long time period. This study proposes a web system to collect easily individual schedule data with travel information. Our proposed system has some characteristics, 1) travel information (e.g. which route is better to choose in this time) is recommended automatically based on the concept of prism when user inserts new schedule, 2) researchers can utilize users' schedule data as an activity-travel data without a special survey. From the result of evaluation of our developed system, some students are satisfied with its usability and operability.