Enhancing Disaster Management: Development of a Spatial Database of Day Care Centers in the USA
Abstract
Children under the age of five constitute around 7% of the total U.S. population and represent a segment of the population, which is totally dependent on others for day-to-day activities. A significant proportion of this population spends time in some form of day care arrangement while their parents are away from home. Accounting for those children during emergencies is of high priority, which requires a broad understanding of the locations of such day care centers. As concentrations of at risk population, the spatial location of day care centers is critical for any type of emergency preparedness and response (EPR). However, until recently, the U.S. emergency preparedness and response community did not have access to a comprehensive spatial database of day care centers at the national scale. This paper describes an approach for the development of the first comprehensive spatial database of day care center locations throughout the USA utilizing a variety of data harvesting techniques to integrate information from widely disparate data sources followed by geolocating for spatial precision. In the context of disaster management, such spatially refined demographic databases hold tremendous potential for improving high resolution population distribution and dynamics models and databases.
- Authors:
-
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Publication Date:
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1210152
- Grant/Contract Number:
- AC05-00OR22725
- Resource Type:
- Accepted Manuscript
- Journal Name:
- ISPRS international journal of geo-information
- Additional Journal Information:
- Journal Volume: 4; Journal Issue: 3; Journal ID: ISSN 2220-9964
- Publisher:
- MDPI
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 58 GEOSCIENCES; day care; child care; spatial database; population distribution
Citation Formats
Singh, Nagendra, Tuttle, Mark A., and Bhaduri, Budhendra L. Enhancing Disaster Management: Development of a Spatial Database of Day Care Centers in the USA. United States: N. p., 2015.
Web. doi:10.3390/ijgi4031290.
Singh, Nagendra, Tuttle, Mark A., & Bhaduri, Budhendra L. Enhancing Disaster Management: Development of a Spatial Database of Day Care Centers in the USA. United States. https://doi.org/10.3390/ijgi4031290
Singh, Nagendra, Tuttle, Mark A., and Bhaduri, Budhendra L. Thu .
"Enhancing Disaster Management: Development of a Spatial Database of Day Care Centers in the USA". United States. https://doi.org/10.3390/ijgi4031290. https://www.osti.gov/servlets/purl/1210152.
@article{osti_1210152,
title = {Enhancing Disaster Management: Development of a Spatial Database of Day Care Centers in the USA},
author = {Singh, Nagendra and Tuttle, Mark A. and Bhaduri, Budhendra L.},
abstractNote = {Children under the age of five constitute around 7% of the total U.S. population and represent a segment of the population, which is totally dependent on others for day-to-day activities. A significant proportion of this population spends time in some form of day care arrangement while their parents are away from home. Accounting for those children during emergencies is of high priority, which requires a broad understanding of the locations of such day care centers. As concentrations of at risk population, the spatial location of day care centers is critical for any type of emergency preparedness and response (EPR). However, until recently, the U.S. emergency preparedness and response community did not have access to a comprehensive spatial database of day care centers at the national scale. This paper describes an approach for the development of the first comprehensive spatial database of day care center locations throughout the USA utilizing a variety of data harvesting techniques to integrate information from widely disparate data sources followed by geolocating for spatial precision. In the context of disaster management, such spatially refined demographic databases hold tremendous potential for improving high resolution population distribution and dynamics models and databases.},
doi = {10.3390/ijgi4031290},
journal = {ISPRS international journal of geo-information},
number = 3,
volume = 4,
place = {United States},
year = {Thu Jul 30 00:00:00 EDT 2015},
month = {Thu Jul 30 00:00:00 EDT 2015}
}
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Figures / Tables:
Figure 1: Schematic classification of day care types.
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Works referencing / citing this record:
Multi-Objective Emergency Material Vehicle Dispatching and Routing under Dynamic Constraints in an Earthquake Disaster Environment
journal, May 2017
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Figures / Tables found in this record:
Figures/Tables have been extracted from DOE-funded journal article accepted manuscripts.