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Third, the 24 adjective quantitative data were classified into Livability, Activity, and Periodity by factor analysis using SPSS software, and senses of places maps for each factor were created. Livability factor includes ordinary life or environment-oriented, Activity factor includes social life-oriented such as streets, parks, or stations, and Periodity factor includes time-oriented such as a place of memory or historical place. Figure 4 shows sense of place map for Livability. In the map, the darker color areas have the stronger relationship for Livability than the other areas. The map told that darker color areas were overlayed with the places related to daily life, such as roads and stations to commute, or parks for a walk.

The comparison analysis between sense of place maps and the real world maps were overlayed these two different maps. As an example, figure 5 shows Visible Areas for Sea and Enoshima and Sense of Fujisawa “necessary” and “unnecessary”. The figure shows that the two maps are really overlayed each other; therefore, a lot of Fujisawa people feel that the sea and ENOSHIMA are indispensable.

Conclusion
Major findings were those, 1) senses of Fujisawa were structured by Livability, Activity, and Periodity, landuse was influenced in sense of place, and 2) different neighborhoods make people feel different images. Also, it became possible to see invisible senses of places in the study; therefore, which spaces impress our lives was clarified, and which spaces related to what kind of our impression.

The result of the study can provide quite effective information for the future city planning. Sense of place distribution can show common images or important places for the community. If the common images are taken account of city planning criteria, it can be easy to get community agreement with city planning. Furthermore, the common images or important places for the community are sampled, it can be easy to plan environmental preservations and to order of priority for them.

Reference

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