A number of recent studies have examined the socioeconomic functions and side effects of environmental amenity in urban development. In this study, an urban green space is viewed as both a positive and negative environmental externality because it could be a potential contributor to gentrification. Employing the difference-in-differences method at the public use microdata areas and census-tract level, this study examines the effects of new green space characteristics on multiple gentrification indicators in New York City. Unlike previous studies, we examine the causal inference of multiple green space types and characteristics on gentrification indicators jointly, estimating a relatively short- and mid-term gentrification effect in a homogeneous institutional and geographical setting. The empirical results indicate that newly added green spaces potentially foster gentrification, influencing the replacement of the poor with wealthier inhabitants; more importantly, the gentrification effects differ depending on the type and characteristics of green spaces. A strong green gentrification effect has been observed in passive, natural and medium-sized green spaces. Taking these short-term and local-level gentrification effects of green space characteristics into consideration allows for more inclusive development and equitable outcomes.

Urban green-blue spaces (UGBS) can benefit residents’ well-being through multiple pathways. Previous studies have confirmed that the quantity and composition of UGBS can promote neighborhood social cohesion, which subsequently contributes to residents’ physical and mental health. However, there has been little attention paid to the spatial patterns of UGBS in such relationships. This study adopted landscape pattern indexes to characterize the spatial patterns of UGBS and explored the mediation effect of neighborhood social cohesion between the spatial patterns of UGBS and residents’ well-being, measured by self-rated health (SRH) and happiness. Partial Least Squares Structural Equation Model (PLS-SEM) was used for analyses with data obtained from the 2018 Shandong Provincial Social Survey Questionnaire (SGSS), which included 773 selected residents in urban areas. The results indicated that (1) there was a mediation effect of neighborhood social cohesion between the spatial patterns of UGBS and residents’ SRH and happiness; (2) the aggregation and diversity of UGBS had greater impacts on enhancing neighborhood social cohesion than the size, complexity, and fragmentation; (3) the aggregation and diversity of UGBS had indirect effects on improving happiness and SRH, and the aggregation of UGBS had a direct positive effect on SRH. By focusing on the spatial patterns of UGBS and neighborhood social cohesion, this study extends current debates on the pathways among UGBS, social cohesion, and public health. Urban planning strategies were proposed to increase the benefits of UGBS in urban areas.