This feature service is an aggregation of multiple California County Evacuation Zone services, and Genasys. The schema used mirrors the Zonehaven Schema. This service is fully updated every 10 minutes. During the update, there may be a brief period (~1 min) where the service is rebuilding and not all features are visible.Updated Frequency: 10 minutesContact: gissupport@caloes.ca.govSymbologyStatusColor Hex ValueColor NameColorDescriptionNORMAL#FFFFFFWhiteNo active public safety incidents.EVACUATION WARNING#E5C447YellowPotential threat to life and/or property. Those who require additional time to evacuate, and those with pets and livestock should leave now.EVACUATION ORDER#D37072RedImmediate threat to life. This is a lawful order to leave now. The area is lawfully closed to public access.SHELTER IN PLACE#BF6ADCPurpleGo indoors. Shut and lock doors and windows. Prepare to self-sustain until further notice and/or contacted by emergency personnel for additional direction.CLEAR TO REPOPULATE#90D260GreenIt is now safe to return to your home post evacuation.ADVISORY#6A95CBBlueBe on alert and follow county recommendations.

The risk of natural disasters, many of which are amplified by climate change, requires the protection of emergency evacuation routes to permit evacuees safe passage. California has recognized the need through the AB 747 Planning and Zoning Law, which requires each county and city in California to update their - general plans to include safety elements from unreasonable risks associated with various hazards, specifically evacuation routes and their capacity, safety, and viability under a range of emergency scenarios. These routes must be identified in advance and maintained so they can support evacuations. Today, there is a lack of a centralized database of the identified routes or their general assessment. Consequently, this proposal responds to Caltrans’ research priority for “GIS Mapping of Emergency Evacuation Routes.†Specifically, the project objectives are: 1) create a centralized GIS database, by collecting and compiling available evacuation route GIS layers, and the safety eleme..., The project used the following public datasets: • Open Street Map. The team collected the road network arcs and nodes of the selected localities and the team will make public the graph used for each locality. • National Risk Index (NRI): The team used the NRI obtained publicly from FEMA at the census tract level. • American Community Survey (ACS): The team used ACS data to estimate the Social Vulnerability Index at the census block level. Then the author developed a measurement to estimate the road network performance risk at the node level, by estimating the Hansen accessibility index, betweenness centrality and the NRI. Create a set of CSV files with the risk for more than 450 localities in California, on around 18 natural hazards. I also have graphs of the RNP risk at the regional level showing the directionality of the risk., , # Data from: Improving public safety through spatial synthesis, mapping, modeling, and performance analysis of emergency evacuation routes in California localities

https://doi.org/10.5061/dryad.w9ghx3g0j

Description of the data and file structure

For this project’s analysis, the team obtained data from FEMA's National Risk Index, including the Social Vulnerability Index (SOVI).

To estimate SOVI, the team used data from the American Community Survey (ACS) to calculate SOVI at the census block level.

Using the graphs obtained from OpenStreetMap (OSM), the authors estimated the Hansen Accessibility Index (Ai) and the normalized betweenness centrality (BC) for each node in the graph.

The authors estimated the Road Network Performance (RNP) risk at the node level by combining NRI, Ai, and BC. They then grouped the RNP to determine the RNP risk at the regional level and generated the radial histogram. Finally, the authors calculated each ana...

Landslide evacuation zones, which represent the areas from which material is removed by landslide processes, have been mapped offshore of Southern California. Polygons were mapped from visual interpretation of high-resolution multibeam echosounder data (MBES) and single-beam echosounder data.

Note: This layer is a registered copy of the source evacuation layer hosted by California Dept. of Technology. To view the source layer, click here.This feature service is an aggregation of multiple California County Evacuation Zone services that are being refreshed every 10 minutes. ****We are not aggregating California County Evacuation Zone Data directly from Zonehaven. The schema used mirrors the Zonehaven Schema.Updated Frequency: 10 minutesContact: gio@state.ca.gov

These datasets supports the conclusions in the journal article entitled "Variations in community evacuation potential related to average return periods in probabilistic tsunami hazard analysis" as described in the abstract below: Tsunami risk management requires strategies that can address multiple sources with different recurrence intervals, wave-arrival times, and inundation extents. Probabilistic tsunami hazard analysis (PTHA) provides a structured way to integrate multiple sources, including the uncertainties due to the natural variability and limited knowledge of sources. PTHA-based products relate to specific average return periods (ARP) and while there has been considerable attention paid to ARP choice for building codes, guidance on ARP choice to support evacuation planning and related land-use is lacking. We use the State of California (USA) coastal communities as a case study to explore the use of geospatial analysis and pedestrian-evacuation modeling for comparing the societal implications of tsunamis based on evacuation areas that reflect 475-year, 975-year, and 2,475-year ARPs. Results demonstrate that changes in PTHA ARP had a substantial effect on the number of taxlot parcels in tsunami evacuation areas, but not on the primary land-use of these parcels or which communities had the highest number of exposed parcels. Composite PTHA maps provided high-level insights on hazard exposure and identified dominant sources; however, disaggregated PTHA outputs that reflect single source parameters (e.g., wave-arrival time) were necessary to quantify evacuation potential from local and distant tsunamis. Framing changes in ARP assumption based on changes in the number, land-use type, and potential evacuation challenges of parcels in evacuation areas can provide valuable insight on the real-world implications of which ARP to use in land-use or evacuation planning.

This feature service is an aggregation of multiple California County Evacuation Zone services that are being refreshed every 10 minutes. We are NOT receiving California County Evacuation Zone Data from Zonehaven. The schema used mirrors the Zonehaven Schema. This service is fully updated every 10 minutes from county sources. During the update, there may be a brief period (~1 min) where the service is rebuilding and not all features are visible.

Data were collected by the project team through Amazon Mechanical Turk (MTurk) between April and May 2022. The team conducted an online survey of residents in wildfire-prone areas, specifically in California, Colorado, and Oregon, which have experienced major wildfire events and evacuations in the past several years, to capture their diverse behaviors prior to and during a wildfire evacuation. A total of 1,312 participants responded to the survey, but 459 responses were considered invalid because they did not meet the following criteria: (a) participants should pass all attention checks; (b) participants should provide the same answers to two identical questions during the survey; and (c) the combined number of elder people and children in his/her household should be less than or equal to the total number of people in the household. Therefore, the dataset contains only 853 valid responses. The dataset includes the responses about evacuation trigger, evacuation timing, preparation time, evacuation destination, main mode of evacuation, primary route choice, and some independent variables that may affect evacuee’s responses during wildfire evacuation.

The travel time map was generated using the Pedestrian Evacuation Analyst model from the USGS. The travel time analysis uses ESRI's Path Distance tool to find the shortest distance across a cost surface from any point in the hazard zone to a safe zone. This cost analysis considers the direction of movement and assigns a higher cost to steeper slopes, based on a table contained within the model. The analysis also adds in the energy costs of crossing different types of land cover, assuming that less energy is expended walking along a road than walking across a sandy beach. To produce the time map, the evacuation surface output from the model is grouped into 1-minute increments for easier visualization. The times in the attribute table represent the estimated time to travel on foot to the nearest safe zone at the speed designated in the map title. The bridge or nobridge name in the map title identifies whether bridges were represented in the modeling or whether they were removed ...

The travel time map was generated using the Pedestrian Evacuation Analyst model from the USGS. The travel time analysis uses ESRI's Path Distance tool to find the shortest distance across a cost surface from any point in the hazard zone to a safe zone. This cost analysis considers the direction of movement and assigns a higher cost to steeper slopes, based on a table contained within the model. The analysis also adds in the energy costs of crossing different types of land cover, assuming that less energy is expended walking along a road than walking across a sandy beach. To produce the time map, the evacuation surface output from the model is grouped into 1-minute increments for easier visualization. The times in the attribute table represent the estimated time to travel on foot to the nearest safe zone at the speed designated in the map title. The bridge or nobridge name in the map title identifies whether bridges were represented in the modeling or whether they were removed prior to modeling to estimate the impact on travel times from earthquake-damaged bridges.

The travel time map was generated using the Pedestrian Evacuation Analyst model from the USGS. The travel time analysis uses ESRI's Path Distance tool to find the shortest distance across a cost surface from any point in the hazard zone to a safe zone. This cost analysis considers the direction of movement and assigns a higher cost to steeper slopes, based on a table contained within the model. The analysis also adds in the energy costs of crossing different types of land cover, assuming that less energy is expended walking along a road than walking across a sandy beach. To produce the time map, the evacuation surface output from the model is grouped into 1-minute increments for easier visualization. The times in the attribute table represent the estimated time to travel on foot to the nearest safe zone at the speed designated in the map title. The bridge or nobridge name in the map title identifies whether bridges were represented in the modeling or whether they were removed prior to modeling to estimate the impact on travel times from earthquake-damaged bridges.

A map used in Know Your Zone application to display information about evacuation zones and, optionally evacuation notice information.

These maps show predictions for the estimated maximum extent of inundation for a LOCAL Cascadia tsunami (YELLOW) for all of Oregon and Washington overlaid on Google Maps. For portions of the Oregon coast only (e.g. currently Bandon to OR/CA border and Cannon Beach), these maps show TWO inundation lines: the estimated maximum extent of inundation for a LOCAL Cascadia tsunami (YELLOW) and a DISTANT tsunami (ORANGE). The entire Pacific coast including Puget Sound, are vulnerable to DISTANT tsunamis even if not depicted on this map. Sections of the coast marked by diagonal lines are currently unmapped, but are also vulnerable to tsunamis - Be vigilant and know what to do when at the coast.

Due to the mixed distribution of buildings and vegetation, wildland-urban interface (WUI) areas are characterized by complex fuel distributions and geographical environments. The behavior of wildfires occurring in the WUI often leads to severe hazards and significant damage to man-made structures. Therefore, WUI areas warrant more attention during the wildfire season. Due to the ever-changing dynamic nature of California's population and housing, the update frequency and resolution of WUI maps that are currently used can no longer meet the needs and challenges of wildfire management and resource allocation for suppression and mitigation efforts. Recent developments in remote sensing technology and data analysis algorithms pose new opportunities for improving WUI mapping methods. WUI areas in California were directly mapped using building footprints extracted from remote sensing data by Microsoft along with the fuel vegetation cover from the LANDFIRE dataset in this study. To accommodate the new type of datasets, we developed a threshold criteria for mapping WUI based on statistical analysis, as opposed to using more ad-hoc criteria as used in previous mapping approaches. This method removes the reliance on census data in WUI mapping, and does not require the calculation of housing density. Moreover, this approach designates the adjacent areas of each building with large and dense parcels of vegetation as WUI, which can not only refine the scope and resolution of the WUI areas to individual buildings, but also avoids zoning issues and uncertainties in housing density calculation. Besides, the new method has the capability of updating the WUI map in real-time according to the operational needs. Therefore, this method is suitable for local governments to map local WUI areas, as well as formulating detailed wildfire emergency plans, evacuation routes, and management measures.

The travel time map was generated using the Pedestrian Evacuation Analyst model from the USGS. The travel time analysis uses ESRI's Path Distance tool to find the shortest distance across a cost surface from any point in the hazard zone to a safe zone. This cost analysis considers the direction of movement and assigns a higher cost to steeper slopes, based on a table contained within the model. The analysis also adds in the energy costs of crossing different types of land cover, assuming that less energy is expended walking along a road than walking across a sandy beach. To produce the time map, the evacuation surface output from the model is grouped into 1-minute increments for easier visualization. The times in the attribute table represent the estimated time to travel on foot to the nearest safe zone at the speed designated in the map title. The bridge or nobridge name in the map title identifies whether bridges were represented in the modeling or whether they were removed prior to modeling to estimate the impact on travel times from earthquake-damaged bridges.

Every year in Canada, thousands of people are evacuated from their homes and workplaces due to the threat of wildfire, and thousands more are put on evacuation alert. The wildland-urban interface refers to residential, industrial or agricultural developments that are located within or near forested or grassland areas. Each year, more and more Canadians live, work and play in these forested areas and therefore live with the threat of wildfire. Evacuations are ordered for a number of reasons: danger to life and property, health risks and poor visibility due to smoke, and road closures preventing access to a community. The resulting disruptions to lives, businesses and transportation can have serious economic and social consequences; however, evacuations are essential to save lives and allow management personnel to do their jobs. No civilian lives have been lost due to wildfire in Canada since 1938. This map shows the number of persons evacuated due to wildfires during the period 1980 to 2003.

EmergencyMapBC is overseen by EmergencyInfoBC and serves as a general reference for current public safety conditions during emergencies. This application displays information related to emergencies in British Columbia from the Ministry of Emergency Management and Climate Readiness. EmergencyMapBC includes Evacuation Alert and Order layers that indicate which areas of BC have been issued an Evacuation Alert or Evacuation Order in response to a potential hazard. In addition, locations of Emergency Support Services Reception Centres are viewable, as well as flood watches and warnings issued by the Province of British Columbia. For more information on emergencies, please visit https://www.emergencyinfobc.gov.bc.ca/ .A GeoBC production in association with Emergency Management and Climate Readiness BC.BC Data Catalogue Metadata: https://catalogue.data.gov.bc.ca/dataset/70bb4164-b353-499f-91c6-7c5d65a73eedCOPYRIGHT | DISCLAIMER | PRIVACY | ACCESSIBILITY

DEPRECATED: During a declared emergency event, this dataset will include the communities affected by Evacuation Order Orders and Alerts, which represents the populated communities and First Nations in the province, and their current evacuation status.

This dataset displays areas of the city vulnerable to damage from likely tsunami scenarios and displays what can be considered hazard zones of inundation. This data was created by SFDEM in 2015 based on data provided by the following agencies, and informs evacuation procedures: California Geological Survey and California Governor’s Office of Emergency Services. This was used for the 2019 HCR update process. However, this does not reflect the 2021 California Geological Survey, the California Governor's Office of Emergency Services, and AECOM update to the Tsunami Hazard zone. That can be found here:

Produced collectively by geologic hazard mapping scientists, and emergency planning specialists from the California Geological Survey, the California Governor’s Office of Emergency Services, and local agencies, organizations, and other stakeholders. The tsunami hazard evacuation areas were developed for all populated areas at risk to tsunamis in California and are based on the tsunami hazard defined in the Tsunami Inundation Maps for Emergency Planning. While the State assisted in the development of the evacuation areas, local agencies, organizations, and other stakeholders made the final determination on the location and coverage of these evacuation areas as they will be used for evacuation planning at the community level.The hazard map is compiled with best currently available scientific information. The Tsunami Hazard Line represents an area that could be exposed to tsunami hazards during a tsunami event. The Tsunami Hazard Line includes tsunami model results that at a minimum represent inundation exceeding that of a 975-year average return period event. Please refer to the following websites for additional information on the construction and/or intended use of the Tsunami Hazard Line:California Geological Survey Tsunami Information: https://www.tsunami.ca.gov/California Governor’s Office of Emergency Services, Earthquake, Tsunami, and Volcano Program: https://www.caloes.ca.gov/cal-oes-divisions/earthquake-tsunami-volcano-programs/tsunami-about

Source Item: https://calema.maps.arcgis.com/home/item.html?id=15fb71971c7246338440d39b9f158bd7The data for this feature service is derived from the CalOES feed indicated at the source item above, which compiles evacuation zone data from multiple local services into a single feed. Since the CalOES feed is a live service showing currently active evacuation orders and warnings, this historic feature service was developed by merging the backups of the live service run daily at 3AM Pacific Time. This database maintains all field headings, field values, and feature polygons of the original CalOES service while adding an EFFECTIVE_DATE_R9 date field to indicate the day and hour that the backup script was run. In order to isolate a specific period of active evacuations, apply a filter to the EFFECTIVE_DATE_R9 field.This service is currently in development. At this time it consists of evacuation data starting January 7th 2025 and is updated daily with the most recent daily backup.