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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
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By: Michał Lupa,  Weronika Paterek,  Mateusz Zawadzki,  Michał Chromiak and  Katarzyna Adamek  
Open Access
|Jan 2026

Authors

Michał Lupa

mlupa@agh.edu.pl

Faculty of Space Technologies, AGH University of Krakow, Cracow, Poland

Weronika Paterek

wnaziemiec@agh.edu.pl

Department of Geoinformatics and Applied Computer Science, AGH University of Krakow, Cracow, Poland

Mateusz Zawadzki

mateusz.zawadzki@mail.umcs.pl

Faculty of Earth Sciences and Spatial Management, Maria Curie-Skłodowska University in Lublin, Lublin, Poland

Michał Chromiak

michal.chromiak@mail.umcs.pl

Department of Cybersecurity and Computational Linguistics, Maria Curie-Skłodowska University in Lublin, Lublin, Poland

Katarzyna Adamek

kadamek@agh.edu.pl

Department of Geoinformatics and Applied Computer Science, AGH University of Krakow, Cracow, Poland
DOI: https://doi.org/10.2478/mgrsd-2025-0028 | Journal eISSN: 2084-6118 | Journal ISSN: 0867-6046
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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