Using mobile phone data to evaluate access to essential services following natural hazards

被引:2
|
作者
Swanson, Tessa [1 ,3 ]
Guikema, Seth [1 ,2 ]
机构
[1] Univ Michigan, Ind & Operat Engn, Ann Arbor, MI USA
[2] Univ Michigan, Civil & Environm Engn, Ann Arbor, MI USA
[3] Univ Michigan, Ind & Operat Engn, 1205 Beal Ave, Ann Arbor, MI 48109 USA
基金
美国国家科学基金会;
关键词
access; community resilience; location-based data; mobile phone data; natural hazards; RESILIENCE; QUANTIFICATION; MANAGEMENT; PATTERNS; RISK;
D O I
10.1111/risa.14201
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Natural hazards bring about changes in the access to essential services such as grocery stores, healthcare, schools, and day care because of facility closures, transportation system disruption, evacuation orders, power outages, and other barriers to access. Understanding changes in access to essential services following a disruption is critical to ensure equitable recovery and more resilient communities. However, past approaches to understanding facility closures and inaccessibility such as surveys and interviews are labor-intensive and of limited geographic scope. In this article, we develop an approach to understanding facility-level inaccessibility across a broad geographic area based on location-based services data collected from cell phones. This approach supplements current approaches and helps both researchers and emergency response planners better understand which communities lose access to essential services and for how long. We demonstrate our approach by analyzing loss of access to supermarkets, schools, healthcare facilities, and home improvement stores in Southwest Florida leading up to and following the landfall of Hurricane Irma in 2017.
引用
收藏
页码:883 / 906
页数:24
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