Medical Emergency Response StructuresThis feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Geological Survey, displays hospitals, medical centers, ambulance services, fire stations and EMS stations in the U.S. Per the USGS, "Structures data are designed to be used in general mapping and in the analysis of structure related activities using geographic information system technology. The National Map structures data is commonly combined with other data themes, such as boundaries, elevation, hydrography, and transportation, to produce general reference base maps. The types of structures collected are largely determined by the needs of disaster planning and emergency response, and homeland security organizations."Greendale Fire DepartmentData currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source (Medical & Emergency Response) and will support mapping, analysis, data exports and OGC API – Feature access.NGDAID: 135 (USGS National Structures Dataset - USGS National Map Downloadable Data Collection)OGC API Features Link: (Medical Emergency Response Structures - OGC Features) copy this link to embed it in OGC Compliant viewersFor more information, please visit: The National MapFor feedback please contact: Esri_US_Federal_Data@esri.comNGDA Theme CommunityThis data set is part of the NGDA Real Property Theme Community. Per the Federal Geospatial Data Committee (FGDC), Real Property is defined as "the spatial representation (location) of real property entities, typically consisting of one or more of the following: unimproved land, a building, a structure, site improvements and the underlying land. Complex real property entities (that is "facilities") are used for a broad spectrum of functions or missions. This theme focuses on spatial representation of real property assets only and does not seek to describe special purpose functions of real property such as those found in the Cultural Resources, Transportation, or Utilities themes."For other NGDA Content: Esri Federal Datasets

Medical Emergency Response StructuresThis feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Geological Survey, displays hospitals, medical centers, ambulance services, fire stations and EMS stations in the U.S. Per the USGS, "Structures data are designed to be used in general mapping and in the analysis of structure related activities using geographic information system technology. The National Map structures data is commonly combined with other data themes, such as boundaries, elevation, hydrography, and transportation, to produce general reference base maps. The types of structures collected are largely determined by the needs of disaster planning and emergency response, and homeland security organizations."Greendale Fire DepartmentData currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source (Medical & Emergency Response) and will support mapping, analysis, data exports and OGC API – Feature access.NGDAID: 135 (USGS National Structures Dataset - USGS National Map Downloadable Data Collection)OGC API Features Link: (Medical Emergency Response Structures - OGC Features) copy this link to embed it in OGC Compliant viewersFor more information, please visit: The National MapFor feedback please contact: Esri_US_Federal_Data@esri.comNGDA Theme CommunityThis data set is part of the NGDA Real Property Theme Community. Per the Federal Geospatial Data Committee (FGDC), Real Property is defined as "the spatial representation (location) of real property entities, typically consisting of one or more of the following: unimproved land, a building, a structure, site improvements and the underlying land. Complex real property entities (that is "facilities") are used for a broad spectrum of functions or missions. This theme focuses on spatial representation of real property assets only and does not seek to describe special purpose functions of real property such as those found in the Cultural Resources, Transportation, or Utilities themes."For other NGDA Content: Esri Federal Datasets

AI Ambulance Demand Heat-Map Planner Market Outlook

As per our latest research, the global AI Ambulance Demand Heat-Map Planner market size reached USD 627 million in 2024, reflecting the rapid adoption of artificial intelligence in emergency response systems. The market is projected to grow at a robust CAGR of 16.2% from 2025 to 2033, reaching a forecasted value of USD 2,068 million by 2033. The primary growth driver for this market is the increasing need for real-time data analytics and predictive modeling to optimize ambulance deployment and reduce emergency response times.

A key growth factor propelling the AI Ambulance Demand Heat-Map Planner market is the surging global urbanization, which has led to higher population densities and more complex city infrastructures. These conditions significantly heighten the demand for efficient emergency medical services, requiring advanced solutions that can dynamically allocate ambulance resources based on predictive analytics. AI-powered heat-map planners are transforming how emergency medical services (EMS) respond to incidents by analyzing vast datasets, including historical call data, traffic patterns, and demographic information, to forecast demand hotspots. This capability allows EMS providers to proactively position ambulances in anticipation of emergencies, substantially reducing response times and improving patient outcomes. Additionally, the integration of AI with IoT and real-time GPS tracking further enhances the precision and reliability of these solutions, making them invaluable for modern urban environments.

Another significant driver is the increasing governmental emphasis on public health and safety, which has resulted in enhanced funding for digital transformation within healthcare and emergency response sectors. Governments and municipal bodies across the globe are investing heavily in smart city initiatives, where AI-based ambulance demand heat-map planners play a critical role in optimizing resource allocation. These investments are not only aimed at improving operational efficiency but also at achieving better regulatory compliance and meeting stringent response time targets set by health authorities. The COVID-19 pandemic further accelerated this trend, as healthcare systems worldwide recognized the need for scalable, data-driven solutions to manage surges in emergency calls and optimize ambulance fleet deployment during crises.

Technological advancements in machine learning, big data analytics, and cloud computing are further catalyzing the growth of the AI Ambulance Demand Heat-Map Planner market. Modern AI algorithms can process and learn from massive, heterogeneous data sources, providing actionable insights that were previously unattainable. The adoption of cloud-based platforms has democratized access to these advanced analytics tools, enabling even mid-sized hospitals and regional EMS providers to benefit from AI-driven planning solutions. Furthermore, ongoing research and development activities are enhancing the accuracy and scalability of these systems, allowing for customization according to local needs and regulations. This technological evolution is expected to continue driving market expansion over the forecast period.

From a regional perspective, North America currently dominates the AI Ambulance Demand Heat-Map Planner market, owing to its advanced healthcare infrastructure, significant investments in AI technologies, and supportive regulatory environment. Europe follows closely, with growing adoption in countries such as Germany, the UK, and France, driven by robust healthcare systems and increasing focus on smart city initiatives. The Asia Pacific region is expected to witness the fastest growth, fueled by rapid urbanization, expanding healthcare networks, and rising government investments in digital health. Latin America and the Middle East & Africa are also emerging as promising markets due to increasing awareness of the benefits of AI in emergency response and gradual improvements in healthcare infrastructure.

Component Analysis

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EMS Locations in North Carolina The EMS stations dataset consists of any location where emergency medical services (EMS) personnel are stationed or based out of, or where equipment that such personnel use in carrying out their jobs is stored for ready use. Ambulance services are included even if they only provide transportation services, but not if they are located at, and operated by, a hospital. If an independent ambulance service or EMS provider happens to be collocated with a hospital, it will be included in this dataset. The dataset includes both private and governmental entities. This dataset is comprised completely of license free data. The Fire Station dataset and the EMS dataset were merged into one working file. TGS processed as one file and then separated for delivery purposes. Records with "-DOD" appended to the end of the [NAME] value are located on a military base, as defined by the Defense Installation Spatial Data Infrastructure (DISDI) military installations and military range boundaries. Text fields in this dataset have been set to all upper case to facilitate consistent database engine search results. All diacritics (e.g., the German umlaut or the Spanish tilde) have been replaced with their closest equivalent English character to facilitate use with database systems that may not support diacritics. The currentness of this dataset is indicated by the [CONTDATE] field. Based upon this field, the oldest record dates from 01/05/2005 and the newest record dates from 08/15/2008

Emergency Response Boundaries have been extracted from the WA (Enhanced) E911 system. They represent the response boundaries of emergency service providers across Washington State. Includes individual layers for Emergency Medical Services (EMS), Fire Services (Fire), and Law Enforcement Services (Law).

The Water Resources Geography Information Service Platform provides the Water Resources Bureau's magnetic ring stratified subsidence monitoring well map.

Abstract This dataset is a subset of The Emergency Management Facilities dataset and contains Ambulance Stations. The Emergency Management Facilities dataset presents the spatial locations, in point format, of all known police stations, ambulance stations, metropolitan fire facilities, rural fire facilities, SES facilities and other (AFP and ACT ESA sites) within Australia. Currency Date modified: February 2023 Modification frequency: As needed Data extent Spatial extent North: -9° South: -44° East: 160° West: 92° Source information The primary information sources used to produce the Emergency Management Facilities Dataset was acquired from each Emergency Management State and Territory agency. Access to the required spatial data and attributes for each facility was coordinated with the support of Emergency Management Spatial Information Network Australia (EMSINA). Australian Capital Territory

ACT Emergency Services Agency Australian Federal Police

New South Wales

Emergency Information Coordination Unit Australian Federal Police

Northern Territory

NT Police Fire & Emergency Services Australian Federal Police

Queensland

Qld Government Data Directory Australian Federal Police

South Australia

SA Country Fire Service SA State Emergency Service SA Government Data Directory SA Police Australian Federal Police

Tasmania

Department of Natural Resources and Environment Australian Federal Police

Victoria

Vic Government Data Directory Australian Federal Police

Western Australia

WA Government Data Directory St John Ambulance WA Australian Federal Police

Geoscience Australia catalog entry: Emergency Management Facilities Database Lineage statement Using the previous Emergency Management Facilities datasets (2018) acquired from State and Territory agencies, the data was uploaded into an ArcSDE environment using Feature Manipulation Engine (FME). The process included the extraction of the themed features, and the translation of the data into a schema created by the Built Environment & Exposure Section, National Location Information Branch, Geoscience Australia (GA). In 2023 further FME processing was completed where the dataset was address matched using the original address provided and compared with the Geocoded National Address File (G-NAF) data. If no address match occurred GIS specialists attempted to find a relevant corresponding G-NAF address to join to, where possible. Data dictionary

Attribute name Description

OBJECTID Automatically generated system ID

FEATURETYPE A singled feature type “Emergency Facility” is the collective name of the different facility subtypes identified in the CLASS field.

DESCRIPTION Brief description of the feature type

CLASS The feature type subtypes: Ambulance Station Emergency Management Facility Metro Fire Facility Police Station Rural/Country Fire Service Facility SES Facility

FACILITY_NAME The station/facility name of each individual feature

FACILITY_OPERATIONALSTATUS A description of the facility status Operational (functioning as an Emergency Services facility, does not indicate opening hours or if the facility is staffed) Non-operational (no longer operational as an Emergency Services facility)

FACILITY_ADDRESS The address of this feature, as supplied by the data source

ABS_SUBURB The ABS suburb where this feature is located

FACILITY_STATE The state where this feature is located, as supplied by the data source

ABS_POSTCODE The ABS postcode where this feature is located

FACILITY_ATTRIBUTE_DATE Date of the source material used.

FACILITY_DATE Date of the source material used to capture this feature

FACILITY_SPATIAL_CONFIDENCE Confidence rating of the accuracy of the feature’s spatial location (5 high – 1 low)

FACILITY_REVISED The date the feature was last revised

COMMENT A free text field for adding general comments about this feature to external users

FACILITY_LAT A numerical way to measure the North South position of the feature

FACILITY_LONG A numerical way to measure the East West position of the feature

VALIDATED Additional confirmation of the features accuracy

GNAF_BUILDING_NAME The GNAF station/facility name of each individual feature

GNAF_ADDRESS_DETAIL_PID The unique ID defined within the G-NAF address data

GNAF_FORMATTED_ADDRESS The GNAF address where this feature is located

GNAF_CONFIDENCE 2 - This reflects that all three contributors have supplied an identical address. 1 - This reflects that a match has been achieved between only two contributors. 0 - This reflects that a single contributor holds this address and no match has been achieved with either or the other two contributors. -1 - No match has been achieved but an entry exists

GNAF_POSTCODE The GNAF postcode where this feature is located

GNAF_SUBURB The GNAF suburb where this feature is located

DISTANCE_TO_GNAF Distance of the GNAF from the Emergency management location point in metres

GNAF_LAT A numerical way to measure the North South position of the GNAF feature

GNAF_LONG A numerical way to measure the East West position of the GNAF feature

Contact Geoscience Australia, clientservices@ga.gov.au

This is a sample of the NationalMap Dataset, for an area including parts of Tauranga City and Western Bay of Plenty District.

To obtain this data for the whole country it is available for ongoing licensed access please visit: https://www.nationalmap.co.nz/contact-us

A subset of the NationalMap dataset consisting of Emergency Service features extracted from the Landmark layer e.g. Police, Fire and Ambulance. Identification by point feature of all emergency services facilities.

ChangelogVersion 1.0.0 (2024-27-05)Nearby Emergency Services AppMap created with the following feature layers: Police Stations Ambulance Stations Metro Fire Facilities State Emergency Services Facilites Rural Country Fire Service Facilities Other Emergency Services Nearby Emergency Services AppSearch to find nearby emergency services.Use one of the following search methods:Click the search box and type in an address.Click within the map.Results will include information about features of interest.

An emergency call is a call with a three digit short number of the emergency service selected by the caller: European emergency service 112; police, emergency call 117; fire, alarm center 118; victim support 142; friendly Hand 143; ambulance, emergency call 144; telephone help for children and young 147. An emergency call can be done from a fixed, mobile or satellite network. The emergency call must be routed to the alarm center of the competent service according to the location and nature of the case. A region from which the emergency calls are routed to a precise alarm center is an intervention region. Each intervention region has a routing number. The map shows the intervention regions of Switzerland for the emergency calls 145 originated from a fixed network. The alarm center and routing number of any intervention region are identified when selecting the targeted intervention region.

Medical Emergency Response StructuresThis feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Geological Survey, displays hospitals, medical centers, ambulance services, fire stations and EMS stations in the U.S. Per the USGS, "Structures data are designed to be used in general mapping and in the analysis of structure related activities using geographic information system technology. The National Map structures data is commonly combined with other data themes, such as boundaries, elevation, hydrography, and transportation, to produce general reference base maps. The types of structures collected are largely determined by the needs of disaster planning and emergency response, and homeland security organizations."Hospitals/Medical Centers, Ambulance Services, and Fire/EMS StationsData currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source (Medical & Emergency Response) and will support mapping, analysis, data exports and OGC API – Feature access.NGDAID: 135 (USGS National Structures Dataset - USGS National Map Downloadable Data Collection)OGC API Features Link: (Medical Emergency Response Structures - OGC Features) copy this link to embed it in OGC Compliant viewersFor more information, please visit: The National MapFor feedback please contact: Esri_US_Federal_Data@esri.comNGDA Theme CommunityThis data set is part of the NGDA Real Property Theme Community. Per the Federal Geospatial Data Committee (FGDC), Real Property is defined as "the spatial representation (location) of real property entities, typically consisting of one or more of the following: unimproved land, a building, a structure, site improvements and the underlying land. Complex real property entities (that is "facilities") are used for a broad spectrum of functions or missions. This theme focuses on spatial representation of real property assets only and does not seek to describe special purpose functions of real property such as those found in the Cultural Resources, Transportation, or Utilities themes."For other NGDA Content: Esri Federal Datasets

Emergency Medical Service ambulance dispatch incidents in Marin County, CA, for the period beginning March 1, 2013 through December 31, 2016. Data is updated quarterly. Data includes time stamps of events for each dispatch, nature of injury, and location of injury. Data also includes geocoding of most incident locations, however, specific street address locations are "obfuscated" and are generally shown within a block and are not, therefore, exact locations. Geocoding results are also based on the quality of the address information provided, and should therefore not be considered 100% accurate.

Some of the data may be interpreted incorrectly without adequate knowledge of the clinical context. Please contact EMS@marincounty.org if you have any questions about the interpretation of fields in this dataset.

description: USGS Structures from The National Map (TNM) consists of data to include the name, function, location, and other core information and characteristics of selected manmade facilities. The types of structures collected are largely determined by the needs of disaster planning and emergency response, and homeland security organizations. Structures currently being collected are: School, College/University, Fire Station/EMS Station, Law Enforcement, Prison/Correctional Facility, State Capitol, Hospital/Medical Center, Ambulance Services, Cemetery, and Post Office. Structures data are designed to be used in general mapping and in the analysis of structure related activities using geographic information system technology. The National Map structures data is commonly combined with other data themes, such as boundaries, elevation, hydrography, and transportation, to produce general reference base maps. The National Map viewer allows free downloads of public domain structures data in either Esri File Geodatabase or Shapefile formats. For additional information on the structures data model, go to https://nationalmap.gov/structures.html.; abstract: USGS Structures from The National Map (TNM) consists of data to include the name, function, location, and other core information and characteristics of selected manmade facilities. The types of structures collected are largely determined by the needs of disaster planning and emergency response, and homeland security organizations. Structures currently being collected are: School, College/University, Fire Station/EMS Station, Law Enforcement, Prison/Correctional Facility, State Capitol, Hospital/Medical Center, Ambulance Services, Cemetery, and Post Office. Structures data are designed to be used in general mapping and in the analysis of structure related activities using geographic information system technology. The National Map structures data is commonly combined with other data themes, such as boundaries, elevation, hydrography, and transportation, to produce general reference base maps. The National Map viewer allows free downloads of public domain structures data in either Esri File Geodatabase or Shapefile formats. For additional information on the structures data model, go to https://nationalmap.gov/structures.html.

This layer shows EMS Posts for Tallahassee and Leon County, Florida. The content in the layer is maintained by staff at Leon County - Tallahassee Consolidated Dispatch Agency.***Please note that the presence of a feature does not necessarily imply that an ambulance is located at that position on the map at all times***

An emergency call is a call with a three digit short number of the emergency service selected by the caller: European emergency service 112; police, emergency call 117; fire, alarm center 118; victim support 142; friendly Hand 143; ambulance, emergency call 144; telephone help for children and young 147. An emergency call can be done from a fixed, mobile or satellite network. The emergency call must be routed to the alarm center of the competent service according to the location and nature of the case. A region from which the emergency calls are routed to a precise alarm center is an intervention region. Each intervention region has a routing number. The map shows the intervention regions of Switzerland for the emergency calls 118 originated from a mobile network. The alarm center and routing number of any intervention region are identified when selecting the targeted intervention region.

This dataset has been published by Emergency Medical Services of the City of Virginia Beach and data.vbgov.com. The mission of data.virginiabeach.gov.com is to provide timely and accurate City information to increase government transparency and access to useful and well organized data by the general public, non-governmental organizations, and City of Virginia Beach employees.

Providing the community with information products to enhance community resilience before and during a disaster or extreme weather event is a core component of MBRCs Building Community Resilience Initiative.This webmap contains information about the location of sand bag depots, evacuation centres and emergency management facilities. The webmap is accessed by the public via a web application that can be viewed on a wide range of devices including smartphones and tablet computer devices.The location of sandbag depots managed by MBRC is included as is the location and status (open or closed) of MBRC managed evacuation centres.The locations of fire stations, ambulance stations, SES Group locations and police stations has been sourced from https://data.qld.gov.au/ and are subject to the data disclaimer of that site.

EMS Locations in New Hampshire The EMS stations dataset consists of any location where emergency medical services (EMS) personnel are stationed or based out of, or where equipment that such personnel use in carrying out their jobs is stored for ready use. Ambulance services are included even if they only provide transportation services, but not if they are located at, and operated by, a hospital. If an independent ambulance service or EMS provider happens to be collocated with a hospital, it will be included in this dataset. The dataset includes both private and governmental entities. This dataset is comprised completely of license free data. The Fire Station dataset and the EMS dataset were merged into one working file. TGS processed as one file and then separated for delivery purposes. Records with "-DOD" appended to the end of the [NAME] value are located on a military base, as defined by the Defense Installation Spatial Data Infrastructure (DISDI) military installations and military range boundaries. Text fields in this dataset have been set to all upper case to facilitate consistent database engine search results. All diacritics (e.g., the German umlaut or the Spanish tilde) have been replaced with their closest equivalent English character to facilitate use with database systems that may not support diacritics. The currentness of this dataset is indicated by the [CONTDATE] field. Based upon this field, the oldest record dates from 01/07/2005 and the newest record dates from 08/12/2008

An emergency call is a call with a three digit short number of the emergency service selected by the caller: European emergency service 112; police, emergency call 117; fire, alarm center 118; victim support 142; friendly Hand 143; ambulance, emergency call 144; telephone help for children and young 147. An emergency call can be done from a fixed, mobile or satellite network. The emergency call must be routed to the alarm center of the competent service according to the location and nature of the case. A region from which the emergency calls are routed to a precise alarm center is an intervention region. Each intervention region has a routing number. The map shows the intervention regions of Switzerland for the emergency calls 142 originated from a mobile network. The alarm center and routing number of any intervention region are identified when selecting the targeted intervention region.

Map of Brussels indicating the location of the Universitair Ziekenhuis Brussel (H) and the patient locations according to connectivity during prehospital telemedicine consultations (no signal loss: green ambulance; transient signal loss: yellow ambulance; permanent signal loss: red ambulance) during office hours (A) and outside office hours (B).