Accuracy Verification of Event Data of Scheduling Support System for Agent-Based Simulator

To discuss or evaluate certain policies for a smart city, it is effective to develop an agent-based simulation which can reproduce an individual's travel behavior and social interaction. Here, activity-travel data is needed to develop a behavior model for the agent-based simulation. However, it is difficult to collect such data over a long time period due to a heavy burden on subjects of the survey. This study proposes a web system to collect an individual's schedule data easily from travel information. Our proposed system has two key characteristics: 1) travel information is recommended automatically based on the concept of space-time prism when the user enters a new event, 2) researchers can utilize users' schedule information as activity-travel data without conducting a special survey. We have an evaluation experiment of our system with users, who expressed satisfaction with the system's usability as well as operability. We also confirmed that trip data collected by our system is useful to identify user's trip purpose.