ESTIMATION OF EXPANSION COEFFICIENT OF TRIP CHAIN BY USING GPS AND MOBILE PHONE’S LOCATION INFORMATION

抄録

With the advancement of technology, GPS equipped mobile devices have been utilized as valuable tools for analyzing travel behavior. By leveraging individual trip chains captured through GPS data, researchers can gain insights into various aspects of transportation and urban planning. On the other hand, mobile spatial statistics (MSS) provide population distribution data covering whole metropolitan area. Although GPS and MSS data offer distinct perspectives on travel behavior, there is limited research on integrating these datasets. This study integrates high-resolution MSS data with GPS data to estimate the expansion coefficients in trip chains. This integration offers significant advantages to understand travel behavior for transportation planning, or for urban design or proposing land use policy. By applying lasso regression analysis on a daily basis, we achieved high coefficients of determination across different dates, indicating that the extracted trip patterns from GPS data effectively represent the resident population in mobile spatial statistics.