In this study, by observing most of the public roads in the survey area by bicycle, it is possible to accurately grasp the temperature distribution in urban areas with high locality and to grasp the changes in the temperature distribution depending on the season and time. As a result of cluster analysis using the maximum temperature difference in the region and the temperature distribution by season and time zone, the following findings were obtained as the characteristics of the temperature distribution. By grasping the maximum temperature difference in the area, it was found that the temperature difference occurs even in the observed narrow range. Looking at the hourly trends, it was confirmed that the difference in regional maximum temperatures tends to increase on winter nights. On the other hand, during the daytime in winter, it was confirmed that the difference in the maximum temperature in the region tended to be small. As a result of using cluster analysis, it was confirmed that there are four different temperature characteristics even in a small area of the research school area, suggesting that the characteristics of the area have an effect.