Zachry Department of Civil and Environmental Engineering, Texas A&M University, 199 Spence St., College Station, TX, 77843-3136, USA.
Sci Rep. 2023 Mar 24;13(1):4817. doi: 10.1038/s41598-023-31702-9.
We present a latent characteristic in socio-spatial networks, hazard-exposure heterophily, to capture the extent to which populations with dissimilar hazard exposure could assist each other through social ties. Heterophily is the tendency of unlike individuals to form social ties. Conversely, populations in hazard-prone spatial areas with significant hazard-exposure similarity, homophily, would lack sufficient resourcefulness to aid each other to lessen the impact of hazards. In the context of the Houston metropolitan area, we use Meta's Social Connectedness data to construct a socio-spatial network in juxtaposition with flood exposure data from National Flood Hazard Layer to analyze flood hazard exposure of spatial areas. The results reveal the extent and spatial variation of hazard-exposure heterophily in the study area. Notably, the results show that lower-income areas have lower hazard-exposure heterophily possibly caused by income segregation and the tendency of affordable housing development to be located in flood zones. Less resourceful social ties in hazard-prone areas due to their high-hazard-exposure homophily may inhibit low-income areas from better coping with hazard impacts and could contribute to their slower recovery. Overall, the results underscore the significance of characterizing hazard-exposure heterophily in socio-spatial networks to reveal community vulnerability and resilience to hazards.
我们提出了社会空间网络中的一个潜在特征,即风险暴露杂合性,以捕捉具有不同风险暴露的人群通过社会关系相互帮助的程度。杂合性是指不同个体形成社会关系的倾向。相反,在具有显著风险暴露相似性的易受灾空间区域(同质性)中,人口缺乏足够的机智来互相帮助减轻灾害的影响。在休斯顿大都市区的背景下,我们使用 Meta 的社交关联性数据构建了一个社会空间网络,并与国家洪水灾害层的洪水暴露数据并列,以分析空间区域的洪水灾害暴露情况。结果揭示了研究区域内风险暴露杂合性的程度和空间变化。值得注意的是,研究结果表明,低收入地区的风险暴露杂合性较低,可能是由于收入隔离和经济适用房开发倾向于位于洪水区造成的。由于高风险暴露同质性,易受灾地区的社会联系资源较少,可能会阻碍低收入地区更好地应对灾害影响,并可能导致其恢复速度较慢。总体而言,研究结果强调了在社会空间网络中描述风险暴露杂合性的重要性,以揭示社区对灾害的脆弱性和恢复能力。