Longitudinal patterns of unmet needs during Texas floods, May-June 2015
Purpose In Spring 2015, Texas experienced record-breaking floods, causing deaths, injuries, and widespread property and infrastructure damage. However, little is known about those who encountered access barriers to disaster support in Texas. The purpose of this paper is to examine the unmet disaster...
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Veröffentlicht in: | Disaster prevention and management 2017-11, Vol.26 (5), p.611-628 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Purpose
In Spring 2015, Texas experienced record-breaking floods, causing deaths, injuries, and widespread property and infrastructure damage. However, little is known about those who encountered access barriers to disaster support in Texas. The purpose of this paper is to examine the unmet disaster-related needs from 2-1-1 calls during evacuation, flooding, and early recovery phases.
Design/methodology/approach
The 2-1-1 Texas Information and Referral Network’s caller database was used to identify real time, non-emergency, unmet disaster-related caller needs longitudinally. The two-month study period included a baseline week before flashflood (05/01/2015) into early recovery (06/30/2015). Caller unmet needs were categorized and graphed by type daily throughout the study period.
Findings
Of the 4,880 disaster-related 2-1-1 calls from Texas’ 254 counties, 1,183 callers needed housing help, compared to 442 utilities, 409 food and 109 medically related assistance. Total calls quickly peaked at 405 calls/day during Memorial Day weekend when Greater Houston flooded. Despite total calls decreasing gradually during recovery, they remained four times higher than baseline. Unmet needs varied by type, especially during early recovery. Housing, food, and medical unmet needs surged when Houston flooded. Although medical calls were lowest volume than other basic needs, demand for medical assistance had a higher threshold throughout early recovery.
Practical implications
Examination of unmet needs over disaster phases identified longitudinal patterns of demand and effectiveness of disaster management efforts.
Originality/value
Using real-time 2-1-1 data to monitor types of unmet demand is valuable to tailor timely and effective disaster support, reduce access barriers, and allocate disaster support services and supplies to the vulnerable communities. |
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ISSN: | 0965-3562 1758-6100 |
DOI: | 10.1108/DPM-02-2017-0015 |