Abstract
With the development of residential communities, commercial facilities serving the residents first emerged spontaneously inside of the communities and later were planned as a supporting component on the fringe but outside of the communities. Thus, two patterns in the distribution of commercial facilities can be found in their spatial relations to the communities they serve, namely, internal distribution and external fringe distribution. Previous debates on these two distribution patterns tend to focus more on the differences in community vitality, environmental quality, community security, etc., but less on the impact of spatial distribution of commercial facilities on residents’ walking-based consumption behavior which affects the quality of life of residents, their physical health, and their social interaction and communication. Therefore, the study conducts a quantitative, empirical, comparative study of the walking-based consumption behavior of residents in two communities, which are located across the street from one another, share similar conditions, but have totally different patterns in the distribution of commercial facilities. The results of analysis show that compared with residents living in a residential community with an external fringe distribution of commercial facilities, those who can access commercial facilities within their community have a shorter walking distance, stronger local consumption willingness, higher frequency, and shorter travel chain to use these facilities, resulting in distinctly different features in their respective walking-based consumption behavior in the communities. A further binary logistic regression analysis shows that the shorter travel distance by foot in a community with internal facilities is the root cause of the above differences, and travel distance significantly affects walking-based consumption behavior. This conclusion strongly supports the internal distribution of commercial facilities in residential communities, which bears practical significance for promoting the vitality and the robust development of communities.
Highlights
Community commerce is an important component of the living environment [1], and is a major resource for community development [2]
Using walking travel distance as the independent variable, the characteristic variables identified above which lead to differences in walking-based consumption behaviors as the dependent variables, the regression model is constructed to analyze the correlation between walking travel distance and the characteristic variables, and the extent to which the former affects the latter
Since the focus here is more on the probability that a resident chooses a certain kind of consumption behavior under specific travel distance, and the influence of varying distance on this probability, the logistic regression model is chosen in the present study
Summary
Community commerce is an important component of the living environment [1], and is a major resource for community development [2]. Because residents’ consumption in their community is one of their most common activities in daily life and has a bearing on the quality of life [18], plus in most communities, most residents do this by walking [19,20], it affects the physical health of residents [21], as well as residents’ social interaction and communication [22], study on the distribution of commercial facilities in residential community from the perspective of residents’ walking-based consumption behaviors is of necessity and significance To this end, the present study uses two typical communities with internal and external distribution of commercial facilities as case studies.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
