Social distance integrated gravity model for evacuation destination choice

被引:19
|
作者
Jiang, Yuqin [1 ]
Li, Zhenlong [1 ]
Cutter, Susan L. [2 ]
机构
[1] Univ South Carolina, Dept Geog, Geoinformat & Big Data Res Lab, Columbia, SC 29208 USA
[2] Univ South Carolina, Dept Geog, Hazards & Vulnerabil Res Inst, Columbia, SC 29208 USA
基金
美国国家科学基金会;
关键词
Big data; disaster management; evacuation; social media; social distance; HURRICANE EVACUATION;
D O I
10.1080/17538947.2021.1915396
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
Evacuation is an effective and commonly taken strategy to minimize death and injuries from an incoming hurricane. For decades, interdisciplinary research has contributed to a better understanding of evacuation behavior. Evacuation destination choice modeling is an essential step for hurricane evacuation transportation planning. Multiple factors are identified associated with evacuation destination choices, in which long-term social factors have been found essential, yet neglected, in most studies due to difficulty in data collection. This study utilized long-term human movement records retrieved from Twitter to (1) reinforce the importance of social factors in evacuation destination choices, (2) quantify individual-level familiarity measurement and its relationship with an individual's destination choice, (3) develop a big data approach for aggregated county-level social distance measurement, and (4) demonstrate how gravity models can be improved by including both social distance and physical distance for evacuation destination choice modeling.
引用
收藏
页码:1004 / 1018
页数:15
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