The influence path of community green exposure index on activity behavior under multi-dimensional spatial perception

Abstract

The purpose of this research is to reveal the internal relationship among community green space, space perception, and activity behavior response to supplement the lack of research results on the binary relationship between green space and behavior. Nine residential community green spaces and 398 residents were selected as the research objects. Thematic clustering and factor identification were used to determine the spatial dimensions of community green space that residents were concerned about. The analysis of the green exposure index, spatial perception evaluation, and activity behavior survey were combined to determine the influence of the green exposure index on spatial perception and activity behavior and its internal correlation path. According to research data, the community green view index (GVI) and normalized difference vegetation index (NDVI) negatively affected the perception factor, while the perception factor positively affected the activity frequency. The SEM model shows that the green exposure index stimulated activity behavior through the intermediate effect of the internal perception path of perceived landscape quality, perceived workability, and perceived accessibility. Spatial perception as the basis of the instantaneous emotional reaction process may affect people's choices for activities but be unable to extend the duration of the activities. The internal association among community green space, spatial perception, and physical activity behavior develops on the basis of spatial patterns at certain scales. This study provides a theoretical basis for understanding the spatial experience and residents' behavioral needs, evaluating the quality of urban green space scientifically, and promoting the optimization of community green space structure.

Keywords: activity behavior; community green space; green view index; normalized difference vegetation index; spatial perception.

Figure 1

The bottom map is the administrative area of Nan'an District, Chongqing, where the research community is located. A zoom is made to highlight the spatial boundaries of the research community.

Figure 2

Realistic pictures of the research community. (A) Huilongwan community (HLW); (B) Jiangnan Fenting community (JNFT); (C) Luzhou Longcheng community (LZLC); (D) Xuefuyuan community (XFY); (E) Nanzhongyuan community (NZY); (F) Sanheyuan community (SHY); (G) Xinglongyuan community (XLY); (H) Sigongli A community (SGLA); and (I) Sigongli B community (SGLB).

Figure 3

The concept model.

Figure 4

The realistic hypothesis model.