Voice and data telecommunications restoration curves for 17 counties affected by the April 18, 2018, M7.0 HayWired earthquake scenario mainshock

These data are a series of telecommunications voice and data restoration percentages for 17 counties affected by the HayWired earthquake scenario, a magnitude 7.0 earthquake occurring on the Hayward Fault on April 18, 2018, with an epicenter in the city of Oakland, CA. These data for telecommunications demand served are derived from residual network capacity based on potential hazard information (for example, ground shaking and liquefaction), assumptions about dependence on electric power restoration, and assumptions about network congestion caused by demand surge. Various resilience cases pertain to assumptions about the presence of backup power (for example, batteries or generators), ability to truck in fuel and portable equipment (for example, cells on wheel or gensets with fuel), and reductions in surges in demand for voice and data services after the mainshock. The model calculates demand served at different time steps (0, 1, 2, 3, 4, 5, 6, 7, 9, 30, and 90 days) following the HayWired scenario mainshock. The results are presented as a table, summarized by county and resilience case (with or without demand surge as a factor). The counties covered in this analysis include the following: Alameda, Contra Costa, Marin, Merced, Monterey, Napa, Sacramento, San Benito, San Francisco, San Joaquin, San Mateo, Santa Clara, Santa Cruz, Solano, Sonoma, Stanislaus, and Yolo. This comma-delimited .CSV dataset was developed and intended for use in standalone spreadsheet or database applications (such as Microsoft Excel). These data support the following publication: Wein, A.M., Witkowski, D.W., Jones, J.L., Porter, K.A., Ballanti, L.R., and McBride, S.K., 2020, The HayWired scenario--Telecommunications and information communication technology, chap. S of Detweiler, S.T., and Wein, A.M., eds., The HayWired earthquake scenario--Societal consequences: U.S. Geological Survey Scientific Investigations Report 2017-5013-R-W, https://doi.org/10.3133/sir20175013.

Data e Risorse

Campo Valore
accessLevel public
bureauCode {010:12}
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catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
identifier USGS:5d9e14d5e4b0366162926e5b
metadata_type geospatial
modified 20210811
old-spatial -123.5337, 35.7890, -120.0520, 38.9260
publisher U.S. Geological Survey
publisher_hierarchy Department of the Interior > U.S. Geological Survey
resource-type Dataset
source_datajson_identifier true
source_hash a5e4bb8afb5cc246af9d26a90d70cbcd56a25367
source_schema_version 1.1
spatial {"type": "Polygon", "coordinates": [[[-123.5337, 35.7890], [-123.5337, 38.9260], [ -120.0520, 38.9260], [ -120.0520, 35.7890], [-123.5337, 35.7890]]]}
theme {geospatial}
Gruppi
  • AmeriGEOSS
  • National Provider
  • North America
Tag
  • amerigeo
  • amerigeoss
  • california
  • ckan
  • geo
  • geoss
  • haywired
  • national
  • north-america
  • resilience
  • restoration
  • san-francisco-bay-area
  • telecommunications
  • united-states
  • usgs-5d9e14d5e4b0366162926e5b
isopen False
license_id notspecified
license_title License not specified
maintainer Anne Wein
maintainer_email awein@usgs.gov
metadata_created 2025-11-21T18:05:17.656682
metadata_modified 2025-11-21T18:05:17.656686
notes These data are a series of telecommunications voice and data restoration percentages for 17 counties affected by the HayWired earthquake scenario, a magnitude 7.0 earthquake occurring on the Hayward Fault on April 18, 2018, with an epicenter in the city of Oakland, CA. These data for telecommunications demand served are derived from residual network capacity based on potential hazard information (for example, ground shaking and liquefaction), assumptions about dependence on electric power restoration, and assumptions about network congestion caused by demand surge. Various resilience cases pertain to assumptions about the presence of backup power (for example, batteries or generators), ability to truck in fuel and portable equipment (for example, cells on wheel or gensets with fuel), and reductions in surges in demand for voice and data services after the mainshock. The model calculates demand served at different time steps (0, 1, 2, 3, 4, 5, 6, 7, 9, 30, and 90 days) following the HayWired scenario mainshock. The results are presented as a table, summarized by county and resilience case (with or without demand surge as a factor). The counties covered in this analysis include the following: Alameda, Contra Costa, Marin, Merced, Monterey, Napa, Sacramento, San Benito, San Francisco, San Joaquin, San Mateo, Santa Clara, Santa Cruz, Solano, Sonoma, Stanislaus, and Yolo. This comma-delimited .CSV dataset was developed and intended for use in standalone spreadsheet or database applications (such as Microsoft Excel). These data support the following publication: Wein, A.M., Witkowski, D.W., Jones, J.L., Porter, K.A., Ballanti, L.R., and McBride, S.K., 2020, The HayWired scenario--Telecommunications and information communication technology, chap. S of Detweiler, S.T., and Wein, A.M., eds., The HayWired earthquake scenario--Societal consequences: U.S. Geological Survey Scientific Investigations Report 2017-5013-R-W, https://doi.org/10.3133/sir20175013.
num_resources 2
num_tags 15
title Voice and data telecommunications restoration curves for 17 counties affected by the April 18, 2018, M7.0 HayWired earthquake scenario mainshock