Have a personal or library account? Click to login
Using Big Data to optimize dynamic ambulance availability maps: bridging the gap in emergency services Cover

Using Big Data to optimize dynamic ambulance availability maps: bridging the gap in emergency services

Miscellanea Geographica
AHEAD OF PRINT
By: Michał Lupa,  Weronika Paterek,  Mateusz Zawadzki,  Michał Chromiak and  Katarzyna Adamek  
Open Access
|Jan 2026

Figures & Tables

Figure 1.

A schematic comparison of traditional methods for generating static time-to-location maps. This shows isochrones of travel time within a given area, and the approach proposed by the authors, which enables dynamic real-time generation of such maps Source: own elaboration
A schematic comparison of traditional methods for generating static time-to-location maps. This shows isochrones of travel time within a given area, and the approach proposed by the authors, which enables dynamic real-time generation of such maps Source: own elaboration

Figure 2.

Temporal coverage map for an ambulance in the centre of the blue area. Blue 5 min, green: 10 min, red 15 min Source: own elaboration
Temporal coverage map for an ambulance in the centre of the blue area. Blue 5 min, green: 10 min, red 15 min Source: own elaboration

Figure 3.

Average time for downloading and saving routes depending on the route determination algorithm used Source: own elaboration
Average time for downloading and saving routes depending on the route determination algorithm used Source: own elaboration

Average search time of the distributed dataset depending on the total number of routes stored

Route Count (mln)Time (s)
0.50.7
1.01.1
1.51.4
2.01.8
2.52.2
DOI: https://doi.org/10.2478/mgrsd-2025-0028 | Journal eISSN: 2084-6118 | Journal ISSN: 0867-6046
Journal RSS Feed
Language: English
Submitted on: Dec 18, 2024
|
Accepted on: May 20, 2025
|
Published on: Jan 14, 2026
Published by: Faculty of Geography and Regional Studies, University of Warsaw
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Real-time mapping,
Big Data,
emergency medical services (EMS)
Related subjects:
Geosciences,
Geography,
Geosciences, other

© 2026 Michał Lupa, Weronika Paterek, Mateusz Zawadzki, Michał Chromiak, Katarzyna Adamek, published by Faculty of Geography and Regional Studies, University of Warsaw
This work is licensed under the Creative Commons Attribution 4.0 License.

AHEAD OF PRINT