Patterns of Social Support and Trajectories of Household Recovery after Superstorm Sandy: Contrasting Influences of Bonding and Bridging Social Capital
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Lee, Seungyoon
[1
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Siebeneck, Laura K.
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机构:
Univ North Texas, Dept Emergency Management & Disaster Sci, Denton, TX 76203 USAPurdue Univ, Brian Lamb Sch Commun, W Lafayette, IN 47907 USA
Siebeneck, Laura K.
[2
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Benedict, Bailey C.
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Calif State Univ San Bernardino, Dept Management, San Bernardino, CA 92407 USAPurdue Univ, Brian Lamb Sch Commun, W Lafayette, IN 47907 USA
Benedict, Bailey C.
[3
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Yabe, Takahiro
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Purdue Univ, Lyles Sch Civil Engn, W Lafayette, IN 47907 USAPurdue Univ, Brian Lamb Sch Commun, W Lafayette, IN 47907 USA
Yabe, Takahiro
[4
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Jarvis, Caitlyn M.
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Purdue Univ, Brian Lamb Sch Commun, W Lafayette, IN 47907 USAPurdue Univ, Brian Lamb Sch Commun, W Lafayette, IN 47907 USA
Jarvis, Caitlyn M.
[1
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Ukkusuri, Satish, V
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Purdue Univ, Lyles Sch Civil Engn, Civil Engn, W Lafayette, IN 47907 USAPurdue Univ, Brian Lamb Sch Commun, W Lafayette, IN 47907 USA
Ukkusuri, Satish, V
[5
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机构:
[1] Purdue Univ, Brian Lamb Sch Commun, W Lafayette, IN 47907 USA
[2] Univ North Texas, Dept Emergency Management & Disaster Sci, Denton, TX 76203 USA
[3] Calif State Univ San Bernardino, Dept Management, San Bernardino, CA 92407 USA
[4] Purdue Univ, Lyles Sch Civil Engn, W Lafayette, IN 47907 USA
[5] Purdue Univ, Lyles Sch Civil Engn, Civil Engn, W Lafayette, IN 47907 USA
Social support;
Postdisaster recovery trajectories;
Hierarchical clustering;
Social capital;
Superstorm Sandy;
POSTTRAUMATIC STRESS SYMPTOMS;
HURRICANE KATRINA;
PSYCHOLOGICAL DISTRESS;
COMMUNITY RESILIENCE;
NEW-ORLEANS;
DISASTER;
VULNERABILITY;
EARTHQUAKE;
NETWORKS;
INSIGHTS;
D O I:
10.1061/(ASCE)NH.1527-6996.0000548
中图分类号:
TU [建筑科学];
学科分类号:
0813 ;
摘要:
Understanding how vulnerability conditions are related to disruptions in social support and trajectories of recovery after disasters is important for promoting resilience. Based on household survey data from New Jersey counties impacted by Superstorm Sandy, a hierarchical clustering method was utilized to classify recovery trajectories as well as common patterns of social support reflecting contrasting dimensions of social capital over time. Residents with a higher level of home damage relied largely on institutional sources for material and information support over the course of recovery. Younger and higher-income residents had a higher proportion of informal sources, particularly for emotional support. Patterns of social support were associated with recovery trajectories when vulnerability and disaster impact were controlled, where institutional sources for material and informational support combined with informal sources for emotional support were associated with quicker recovery trajectories. Results provide implications for bonding and bridging forms of social capital in recovery and motivate research and investments for assessing and cultivating both informal relations and institutional networks from which postdisaster social support can be mobilized. (C) 2022 American Society of Civil Engineers.
机构:
Swedish Red Cross Univ Coll, Dept Hlth Sci, Huddinge, Sweden
Karolinska Inst, Dept Global Publ Hlth, Solna, SwedenSwedish Red Cross Univ Coll, Dept Hlth Sci, Huddinge, Sweden
Johnson-Singh, Charisse M.
Sengoelge, Mathilde
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Swedish Red Cross Univ Coll, Dept Hlth Sci, Huddinge, Sweden
Karolinska Inst, Dept Global Publ Hlth, Solna, SwedenSwedish Red Cross Univ Coll, Dept Hlth Sci, Huddinge, Sweden
Sengoelge, Mathilde
Engstrom, Karin
论文数: 0引用数: 0
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Karolinska Inst, Dept Global Publ Hlth, Solna, SwedenSwedish Red Cross Univ Coll, Dept Hlth Sci, Huddinge, Sweden
Engstrom, Karin
Saboonchi, Fredrik
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Swedish Red Cross Univ Coll, Dept Hlth Sci, Huddinge, Sweden
Karolinska Inst, Dept Clin Neurosci, Div Insurance Med, Solna, SwedenSwedish Red Cross Univ Coll, Dept Hlth Sci, Huddinge, Sweden
机构:
Univ Hawaii Manoa, Dept Urban & Reg Planning, 2424 Maile Way 107, Honolulu, HI 96822 USA
Univ Hawaii Manoa, Natl Disaster Preparedness Training Ctr, 2424 Maile Way 107, Honolulu, HI 96822 USAToyo Univ, Dept Informat Networking Innovat & Design, Social Infrastruct Course, Kita Ku, 1-7-11 Akabanedai, Tokyo 1150053, Japan