Abstract
A bicycle is useful on its flexibility and mobility for tourists to move around large-scale regions including rural areas. This study investigates the tourist behavior by rental cycle use in Azumino, Nagano, Japan. GPS loggers and GIS are used for tracking tourists and analysis of their movement-logs. Dual kernel density estimation is applied to visualize the intensities of space use considering the difference of activities; walking and cycling. Moreover, the tourist behaviors are classified into three patterns by their space-time passes. On the basis of the results of these analyses, the determined factors of the behavioral patterns are discussed.
