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.