Geocoding Applications for Social Science to Improve Earthquake Early Warning
Geocoding is a spatial analysis method that uses address information (e.g., street address, intersection, census tract, zip code, etc.) to determine geographical coordinates (latitude and longitude). In recent decades, geocoding has gone beyond its primary use for census and demographic information...
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| Format: | Article |
| Language: | English |
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McGill University
2023-09-01
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| Series: | Seismica |
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| Online Access: | https://seismica.library.mcgill.ca/article/view/527 |
| _version_ | 1797622973829480448 |
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| author | Danielle Sumy |
| author_facet | Danielle Sumy |
| author_sort | Danielle Sumy |
| collection | DOAJ |
| description |
Geocoding is a spatial analysis method that uses address information (e.g., street address, intersection, census tract, zip code, etc.) to determine geographical coordinates (latitude and longitude). In recent decades, geocoding has gone beyond its primary use for census and demographic information to novel applications in disaster risk reduction, even to earthquake early warning. Here I demonstrate the usefulness of geocoding techniques to earthquake early warning systems as applied to case studies that relied on survey response data and crowd-sourced video footage. These datasets were initially collected to understand the efficacy of tests conducted on ShakeAlert®, the earthquake early warning system for the West Coast of the United States, and how people behave during earthquakes, respectively. Geocoding these data can improve our overall technical understanding of the system, demonstrate whether individuals take protective actions such as ‘Drop, Cover, and Hold On’, and spotlight community demographics that the system is reaching or unintentionally missing. The combination of these social science datasets with geocoding information deepens our knowledge of these fundamentally human-centered systems, including how to improve the distribution of alerts for people and individuals with access and functional needs. In the future, this work may help verify U.S. Geological Survey ‘Did You Feel It?’ responses and seismic intensity, especially in regions with sparse seismic networks.
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| first_indexed | 2024-03-11T09:17:50Z |
| format | Article |
| id | doaj.art-56ede3cf9ee448b0ab79d1c79afe9d2f |
| institution | Directory Open Access Journal |
| issn | 2816-9387 |
| language | English |
| last_indexed | 2024-03-11T09:17:50Z |
| publishDate | 2023-09-01 |
| publisher | McGill University |
| record_format | Article |
| series | Seismica |
| spelling | doaj.art-56ede3cf9ee448b0ab79d1c79afe9d2f2023-11-16T18:31:57ZengMcGill UniversitySeismica2816-93872023-09-012210.26443/seismica.v2i2.527Geocoding Applications for Social Science to Improve Earthquake Early WarningDanielle Sumy0IRIS Consortium Geocoding is a spatial analysis method that uses address information (e.g., street address, intersection, census tract, zip code, etc.) to determine geographical coordinates (latitude and longitude). In recent decades, geocoding has gone beyond its primary use for census and demographic information to novel applications in disaster risk reduction, even to earthquake early warning. Here I demonstrate the usefulness of geocoding techniques to earthquake early warning systems as applied to case studies that relied on survey response data and crowd-sourced video footage. These datasets were initially collected to understand the efficacy of tests conducted on ShakeAlert®, the earthquake early warning system for the West Coast of the United States, and how people behave during earthquakes, respectively. Geocoding these data can improve our overall technical understanding of the system, demonstrate whether individuals take protective actions such as ‘Drop, Cover, and Hold On’, and spotlight community demographics that the system is reaching or unintentionally missing. The combination of these social science datasets with geocoding information deepens our knowledge of these fundamentally human-centered systems, including how to improve the distribution of alerts for people and individuals with access and functional needs. In the future, this work may help verify U.S. Geological Survey ‘Did You Feel It?’ responses and seismic intensity, especially in regions with sparse seismic networks. https://seismica.library.mcgill.ca/article/view/527earthquake early warninggeocodingsocial scienceShakeAlert |
| spellingShingle | Danielle Sumy Geocoding Applications for Social Science to Improve Earthquake Early Warning Seismica earthquake early warning geocoding social science ShakeAlert |
| title | Geocoding Applications for Social Science to Improve Earthquake Early Warning |
| title_full | Geocoding Applications for Social Science to Improve Earthquake Early Warning |
| title_fullStr | Geocoding Applications for Social Science to Improve Earthquake Early Warning |
| title_full_unstemmed | Geocoding Applications for Social Science to Improve Earthquake Early Warning |
| title_short | Geocoding Applications for Social Science to Improve Earthquake Early Warning |
| title_sort | geocoding applications for social science to improve earthquake early warning |
| topic | earthquake early warning geocoding social science ShakeAlert |
| url | https://seismica.library.mcgill.ca/article/view/527 |
| work_keys_str_mv | AT daniellesumy geocodingapplicationsforsocialsciencetoimproveearthquakeearlywarning |