VISUALIZATION ANALYSIS OF TRAVEL BEHAVIOR USING GPS DATA AND USAGE DATA OF "MACHI-NORI", KANAZAWA CITY'S PUBLIC SHARED CYCLE SERVICE

Abstract

In Japan, the role of bike sharing is expected to play in addressing issues such as the environment, transportation, and health promotion, as well as in urban development that prioritizes public transportation based on the concept of "compact + network".

In this study, we show that it is possible to understand detailed travel behavior through visualization of GPS and other data accumulated by the Kanazawa city's public shared cycle service "Machi-nori". In addition, a more quantitative comparative analysis of GPS data using the map-matching method shows that travel distances and average speeds vary depending on the individual attributes of the users and the characteristics of the day of the week and weather conditions. Furthermore, by constructing these visualizations as a system on a "BI tool", the possibility of expanding data utilization in practice by speeding up visualization and analysis and sharing.