The relationship between green space accessibility by multiple travel modes and housing prices: A case study of Beijing

Study of the Correlation between the Urban Wind–Heat Environment and Urban Development Elements in High-Density Urban Areas: A Case Study of Central Shanghai

“…Geographically weighted regression was proposed by Brunsdon et al as a means of modeling the spatial non-stationarity of variables based on nonparametric locally weighted regression [44,45]. The GWR model equation is as follows:…”

Navigating Post-COVID-19 Social–Spatial Inequity: Unravelling the Nexus between Community Conditions, Social Perception, and Spatial Differentiation

“…Through "big data" analysis, community conditions involve quantifying urban spatial elements, such as commercial facilities, public amenities, and park greenery [61,[75][76][77]. Other approaches include examining urban green space (UGS) fairness using MSPA [55], measuring accessibility [16], and evaluating environmental inequality concerning transportation facilities [78], among other aspects of the environment [62,63,70,79]. Moreover, using social media and mobile device data enables researchers to analyze urban residents' behaviors and interactions, revealing social inequalities.…”

“…While various measurement methods have been proposed to address the complexity of the "social-spatial" equity perspective, there is still a pressing need to explore appropriate data selection and methodological applications within a logical and comprehensive measurement framework. The current state of research lacks a detailed exploration of dynamic measurements of social perception and spatial quality at both individual and regional geographical scales, as well as the correlation between these measures and built environment elements within residential areas [16]. Despite previous research exploring the relationship between built environments and individual activities, systematic and comprehensive measurements are scarce for "social-spatial" assessment [80].…”

“…For instance, the Revised Perceived Residential Environment Quality (R-PREQ) theory highlights the increasingly tight interaction between physical space and social perception, where residential environment quality positively influences social perception through community attachment as an intermediate variable [15]. Therefore, a comprehensive measurement framework is essential for understanding the interrelationship between social perception and spatial quality [16]. However, current research needs more detailed explanations of the dynamic measurement of all elements of social perception and spatial quality at the regional geographical scale and their interrelations with community-built environmental elements [17].…”

An Evaluation Model of Urban Green Space Based on Residents’ Physical Activity

“…The social value of UGSs can be reflected in the initiative and frequency of people visiting green space [24], which could contribute to residents' health positively [25]. From this aspect, the accessibility of a UGS may greatly affect the willingness of residents to visit the green space [26][27][28], which means it is necessary to be able to approach or enter it more conveniently in order to make effective use of the public UGS system. For example, the WHO proposed a method for measuring the health benefits of public UGS systems based on data from the residential population area within a radius of 300 m (or a 5 min walk) around green space in 2016 [29], which indicates that residents living at a certain distance to the green space can easily enter into it.…”