Beyond the residential neighborhood: A scoping review of research on urban neighborhood networks

被引:0
|
作者
Brazil, Noli [1 ]
Candipan, Jennifer [2 ]
Levy, Brian [3 ]
Tom, Thalia [4 ]
机构
[1] Univ Calif Davis, Dept Human Ecol, One Shields Ave, Davis, CA 95691 USA
[2] Brown Univ, Dept Sociol, Providence, RI 02912 USA
[3] Univ South Carolina, Dept Sociol, 911 Pickens St, Columbia, SC 29208 USA
[4] Univ Southern Calif, Dept Sociol, 851 Downey Way, Hazel & Stanley Hall 314, Los Angeles, CA 90089 USA
关键词
VIOLENT CRIME; ACTIVITY SPACE; SEGREGATION; MOBILITY; HEALTH; CONTEXTS; CITY;
D O I
10.1016/j.socscimed.2025.117945
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
An emerging framework has expanded the neighborhood effects perspective by recognizing that exposure to, and the impact of, neighborhood conditions extend beyond the residential environment. This framework conceptualizes neighborhoods as embedded within a citywide network, with ties based on the durable, aggregated, and socially meaningful connections linking residents across a city. Measuring neighborhood conditions solely within residential areas may underestimate exposure to neighborhood conditions that are consequential for health. This paper presents results from a scoping review of the emerging neighborhood networks literature. We identified 32 U.S.-based studies published between 2014 and 2023. The overwhelming majority of these studies conceptualized neighborhood networks based on the aggregated daily mobility of residents, with 72 percent using either cell phone or social media data to construct neighborhood networks. Key empirical findings include evidence that durable patterns of racial/ethnic and income segregation generally extend into neighborhood networks and that network exposure to socioeconomic disadvantage is correlated with crime and poor health outcomes. Future research should examine other types of ties beyond those created via daily mobility, explore a wider range of exposures and outcomes, and investigate the implications of neighborhood networks on individual-level health.
引用
收藏
页数:20
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