skip to main content
US FlagAn official website of the United States government
dot gov icon
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
https lock icon
Secure .gov websites use HTTPS
A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.


Title: Defining, collecting, and sharing perishable disaster data
Researchers across disciplines have long sought to collect ‘perishable data’ in the context of disasters. Yet, this data type is neither consistently defined nor discussed in specific detail in the literature. To address this gap, this paper defines perishable data and provides guidance on ways to improve both how it is collected and shared. Here, perishable data is conceptualised as highly transient data that may degrade in quality, be irrevocably altered, or be permanently lost if not gathered soon after it is generated. Perishable data may include ephemeral information that must be collected to characterise pre‐existing hazardous conditions, near‐miss events, actual disasters, and longer‐term recovery processes. This data may need to be gathered at multiple points in time across varying geographic scales to accurately characterise exposure, susceptibility to harm, or coping capacity. The paper considers ethical and logistical challenges and discusses opportunities to advance equitable perishable data collection and dissemination.  more » « less
Award ID(s):
1841338
PAR ID:
10439339
Author(s) / Creator(s):
 ;  ;  
Publisher / Repository:
Wiley-Blackwell
Date Published:
Journal Name:
Disasters
Volume:
48
Issue:
1
ISSN:
0361-3666
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
More Like this
  1. Disasters are typically unforeseen, causing most social and behavioral studies about disasters to be reactive. Occasionally, predisaster data are available, for example, when disasters happen while a study is already in progress or where data collected for other purposes already exist, but planned pre-post designs are all but nonexistent. This gap fundamentally limits the quantification of disasters’ human toll. Anticipating, responding to, and managing public reactions require a means of tracking and understanding those reactions, collected using rigorous scientific methods. Oftentimes, self-reports from the public are the best or only source of information, such as perceived risk, behavioral intentions, and social learning. Significant advancement in disaster research, to best inform practice and policy, requires well-designed surveys with large probability-based samples and longitudinal assessment of individuals across the life-cycle of a disaster and across multiple disasters. 
    more » « less
  2. When natural disasters occur, various organizations and agencies turn to social media to understand who needs help and how they have been affected. The purpose of this study is twofold: first, to evaluate whether hurricane-related tweets have some consistency over time, and second, whether Twitter-derived content is thematically similar to other private social media data. Through a unique method of using Twitter data gathered from six different hurricanes, alongside private data collected from qualitative interviews conducted in the immediate aftermath of Hurricane Harvey, we hypothesize that there is some level of stability across hurricane-related tweet content over time that could be used for better real-time processing of social media data during natural disasters. We use latent Dirichlet allocation (LDA) to derive topics, and, using Hellinger distance as a metric, find that there is a detectable connection among hurricane topics. By uncovering some persistent thematic areas and topics in disaster-related tweets, we hope these findings can help first responders and government agencies discover urgent content in tweets more quickly and reduce the amount of human intervention needed. 
    more » « less
  3. This Grant for Rapid Response Research (RAPID) project will collect and analyze perishable data on historical buildings. The Tumwata Village (formerly known as Blue Heron Paper Mill Site) located by the Willamette Falls in Oregon City, Oregon, has a very intriguing history and was recently purchased by the Confederated Tribes of Grand Ronde with the intent to restore the falls to their natural state and preserve some of the oldest structures. The site presents a unique opportunity to perform rapid investigations to collect and analyze perishable data on these historical buildings and develop new knowledge in the area of building assessments in corrosive environments. This industrial site contains a wide range of structure types (steel frames, concrete frames, timber frames, masonry walls and massive concrete walls) that were built over a period of 150 years and that employ many construction details that are common in older structures. The data collected and the results of the research will be applicable to many buildings in coastal communities throughout the country. Lidar data sets collected from these buildings will support the development of new methods to analyze and synthesize large data sets as well as integrate visual observations and material testing to quantify structural deterioration damages. The challenge in developing artificial intelligence (AI) technologies to find and quantify damage in structural systems using lidar data is the need to train the methods on existing data sets that show a wide range of damage states. The data to be collected from this site will provide an extensive training data set relevant to structural components common to older buildings. Development of such AI technologies for fast identification and quantification of damage would be transformative for the natural hazards research community and would expand the ability to learn from archived lidar datasets. The collected dataset will be available to researchers to serve as high quality training data in algorithm development. 
    more » « less
  4. Concept maps have emerged as a valid and reliable method for assessing deep conceptual understanding in engineering education within disciplines as well as interdisciplinary knowledge integration across disciplines. Most work on concept maps, however, focuses on undergraduates. In this paper, we use concept maps to examine changes in graduate students’ conceptual understanding and knowledge integration resulting from an interdisciplinary graduate program. Our study context is pair of foundational, team-taught courses in an interdisciplinary Disaster Resilience and Risk Management (DRRM) graduate program. The courses include a 3-hour research course and a 1-hour seminar that aim to build student understanding within and across Urban Affairs and Planning, Civil and Environmental Engineering, Geosciences, and Business Information Technology. The courses introduce core principles of DRRM and relevant research methods in these disciplines, and drive students to understand the intersections of these disciplines in the context of planning for and responding to natural and human-made disasters. To understand graduate student growth from disciplinary-based to interdisciplinary scholars, we pose the research questions: 1) In what ways do graduate students’ understandings of DRRM change as a result of their introduction to an interdisciplinary graduate research program? and 2) To what extent and in what ways do concept maps serve as a tool to capture interdisciplinary learning in this context? Data includes pre/post concept maps centered on disaster resilience and risk management, a one-page explanation of the post-concept map, and ethnographic field notes gathered from class and faculty meetings. Pre-concept maps were collected on the first day of class; post-concept maps will be collected as part of the final course assignment. We assess the students’ concept maps for depth of conceptual understanding within disciplines and interdisciplinary competency across disciplines, using the field notes to provide explanatory context. The results presented in this paper support the inclusion of an explanation component to concept maps, and also suggest that concept maps alone may not be the best measure of student understanding of concepts within and across disciplines in this specific context. If similar programs wish to use concept maps as an assessment method, we suggest the inclusion of an explanation component and suggest providing explicit instructions that specify the intended audience. We also suggest using a holistic scoring method, as it is more likely to capture nuances in the concept maps than traditional scoring methods, which focus solely on counting factors like hierarchies and number of cross-links. 
    more » « less
  5. Critical infrastructure and public utility systems are often severely damaged by natural disasters like hurricanes. Based on a framework of household disaster resilience, this paper focuses on the role of utility disruption on household-level recovery in the context of Hurricane Sandy. Using data collected through a two-stage household survey, it first confirms that the sample selection bias is not present, thus the responses can be estimated sequentially. Second, it quantitatively examines factors contributing to hurricane-induced property damages and household-level recovery. The finding suggests that respondents who suffered from a longer period of utility disruptions (e.g., electricity, water, gas, phone/cell phone, public transportation) are more likely to incur monetary losses and have more difficulty in recovering. Effective preparedness activities (e.g., installing window protections, having an electric generator) can have positive results in reducing adverse shocks. Respondents with past hurricane experiences and higher educational attainments are found to be more resilient compared to others. Finally, the paper discusses the implications of the findings on effective preparation and mitigation strategies for future disasters. 
    more » « less