Network diffusion model reveals recovery multipliers and heterogeneous spatial effects in post-disaster community recovery

被引:2
作者
Liu, Chia-Fu [1 ]
Mostafavi, Ali [1 ]
机构
[1] Texas A&M Univ, Zachry Dept Civil & Environm Engn, 199 Spence St, College Stn, TX 77843 USA
基金
美国国家科学基金会;
关键词
HURRICANE KATRINA; RESILIENCE; RACE;
D O I
10.1038/s41598-023-46096-x
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Community recovery from hazards occurs through various diffusion processes within social and spatial networks of communities. Existing knowledge regarding the diffusion of recovery in community socio-spatial networks, however, is rather limited. To bridge this gap, we created a network diffusion model to characterize the unfolding of population activity recovery in spatial networks of communities. In particular, this study aims to answer the research question "To what extent can the diffusion model capture the spatial patterns of recovery?" Using population activity recovery data derived from location-based information associated with 2017 Hurricane Harvey in the Houston area, we parameterized the threshold-based network diffusion model using the genetic algorithm and then simulated the recovery diffusion process. The results show that the spatial effects of recovery are rather heterogeneous across different areas; some spatial areas demonstrate a greater spatial effect in their recovery. Also, the results show that low-income and minority areas are community recovery multipliers; with faster recovery in these areas corresponding to accelerated recovery for the entire community. Hence, prioritizing these areas in resource allocation during recovery has the potential to accelerate could expedite the recovery of the entire community's recovery process while promoting recovery equality and equity.
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页数:13
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