HEvOD is a database containing hurricane evacuation orders in the United States.
The abstract introduces the Hurricane Evacuation Order Database (HEvOD), which is a critical resource for assessing and improving hurricane evacuation orders in the United States. The database covers evacuation orders issued between 2014 and 2022, providing detailed information on order type, announcement time, effective time, and evacuation area. This database aims to enhance our understanding of the impact of evacuation orders on decision-making during hurricanes, which is essential for effective emergency response planning.
Hurricanes are a significant threat to coastal areas in the United States, leading to high death tolls and widespread destruction. With the increasing frequency and severity of hurricanes, there is a growing need to enhance emergency preparedness and response strategies, including timely and efficient evacuation procedures. Evacuation orders play a crucial role in mitigating the damage caused by hurricanes, making it vital to analyze their effectiveness and impact on evacuation decisions.
The lack of standardized, high-resolution data on historical evacuation orders has limited our ability to study the causal relationships between evacuation orders and decision-making processes during hurricanes. Previous studies have relied on case studies, surveys, and interviews, which have provided valuable insights but lack generalizability for policy analysis. The HEvOD database addresses this gap by offering a comprehensive record of evacuation orders collected from various official sources, allowing researchers to systematically investigate the effectiveness of evacuation policies and identify areas for improvement.
The process of compiling the HEvOD involved selecting hurricanes from the National Hurricane Center's archive, collecting data from official announcements, refining and standardizing the data, and validating the information. The database includes evacuation orders classified as mandatory or voluntary, with details on announcement and effective times, as well as evacuation areas. The data collection process involved sourcing information from official websites, social media accounts, and news platforms to ensure accuracy and reliability.
The database's attributes enable researchers to study the impact of evacuation policies, evaluate evacuation zoning effectiveness, and analyze compliance rates across different geographical locations and hurricanes. The HEvOD database is publicly available and offers a valuable resource for policymakers, emergency responders, and researchers to enhance hurricane evacuation planning and disaster mitigation strategies.
The article also provides technical validation of the database, highlighting the quality assurance measures taken during data collection and validation. An example analysis showcases the distribution of mandatory evacuation orders issued during hurricanes between 2014 and 2022, emphasizing the significance of evacuation orders in Florida and Louisiana.
In conclusion, the HEvOD database represents a significant contribution to hurricane emergency response research, offering a comprehensive and standardized record of evacuation orders that can inform policy decisions and improve evacuation planning strategies in hurricane-prone areas.
Source: https://www.nature.com/articles/s41597-024-03100-x
Hurricanes are a significant threat to coastal areas in the United States, leading to high death tolls and widespread destruction. With the increasing frequency and severity of hurricanes, there is a growing need to enhance emergency preparedness and response strategies, including timely and efficient evacuation procedures. Evacuation orders play a crucial role in mitigating the damage caused by hurricanes, making it vital to analyze their effectiveness and impact on evacuation decisions.
The lack of standardized, high-resolution data on historical evacuation orders has limited our ability to study the causal relationships between evacuation orders and decision-making processes during hurricanes. Previous studies have relied on case studies, surveys, and interviews, which have provided valuable insights but lack generalizability for policy analysis. The HEvOD database addresses this gap by offering a comprehensive record of evacuation orders collected from various official sources, allowing researchers to systematically investigate the effectiveness of evacuation policies and identify areas for improvement.
The process of compiling the HEvOD involved selecting hurricanes from the National Hurricane Center's archive, collecting data from official announcements, refining and standardizing the data, and validating the information. The database includes evacuation orders classified as mandatory or voluntary, with details on announcement and effective times, as well as evacuation areas. The data collection process involved sourcing information from official websites, social media accounts, and news platforms to ensure accuracy and reliability.
The database's attributes enable researchers to study the impact of evacuation policies, evaluate evacuation zoning effectiveness, and analyze compliance rates across different geographical locations and hurricanes. The HEvOD database is publicly available and offers a valuable resource for policymakers, emergency responders, and researchers to enhance hurricane evacuation planning and disaster mitigation strategies.
The article also provides technical validation of the database, highlighting the quality assurance measures taken during data collection and validation. An example analysis showcases the distribution of mandatory evacuation orders issued during hurricanes between 2014 and 2022, emphasizing the significance of evacuation orders in Florida and Louisiana.
In conclusion, the HEvOD database represents a significant contribution to hurricane emergency response research, offering a comprehensive and standardized record of evacuation orders that can inform policy decisions and improve evacuation planning strategies in hurricane-prone areas.
Source: https://www.nature.com/articles/s41597-024-03100-x
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