<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>One of the main priorities of emergency services is to minimize the response time to calls. In the process of proper allocation of emergency vehicles, maps of emergency vehicle accessibility are found to be helpful. These maps represent areas within which emergency services can reach the specified location within a certain time. Calculating travel times requires taking into account the rapidly changing current road conditions. This paper presents a method for dynamically generating maps of emergency vehicle accessibility, considering network models and irregular computational grids.</p>
</abstract>

One of the main priorities of emergency services is to minimize the response time to calls. In the process of proper allocation of emergency vehicles, maps of emergency vehicle accessibility are found to be helpful. These maps represent areas within which emergency services can reach the specified location within a certain time. Calculating travel times requires taking into account the rapidly changing current road conditions. This paper presents a method for dynamically generating maps of emergency vehicle accessibility, considering network models and irregular computational grids.

Methodology for creating dynamic emergency vehicle availability maps

Polish Cartographical Review

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Methodology for creating dynamic emergency vehicle availability maps"}

One of the main priorities of emergency services is to minimize the response time to calls. In the process of proper allocation of emergency vehicles, maps of...

Methodology for creating dynamic emergency vehicle availability maps

Published Online: Nov 01, 2023

Page range: 24 - 37

Received: Jul 25, 2023

Accepted: Sep 22, 2023

DOI: https://doi.org/10.2478/pcr-2023-0003

Keywords
accessibility, service coverage maps, ambulance-coverage-ratio, ambulance, fastest paths, GIS, big data

© 2023 Michał Lupa et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Methodology for creating dynamic emergency vehicle availability maps

Published Online: Nov 01, 2023

Page range: 24 - 37

Received: Jul 25, 2023

Accepted: Sep 22, 2023

DOI: https://doi.org/10.2478/pcr-2023-0003

Keywordsaccessibility, service coverage maps, ambulance-coverage-ratio, ambulance, fastest paths, GIS, big data

© 2023 Michał Lupa et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Keywords
accessibility, service coverage maps, ambulance-coverage-ratio, ambulance, fastest paths, GIS, big data