[
Andersson, T., & Värbrand, P. (2007). Decision support tools for ambulance dispatch and relocation. Journal of the Operational Research Society, 58(2), 195–201. https://doi.org/10.1057/palgrave.jors.2602174
]Search in Google Scholar
[
Apache Hadoop. (2023). https://hadoop.apache.org/
]Search in Google Scholar
[
Apache Spark. (2023). https://spark.apache.org/
]Search in Google Scholar
[
Azizan, M. H., Lim, C. S., Hatta, W. A. L. W. M., & Teoh, S. (2013). Simulation of emergency medical services delivery performance based on real map. International Journal of Engineering and Technology, 5(3), 2620–2627.
]Search in Google Scholar
[
Branas, C. C., MacKenzie, E. J., & ReVelle, C. S. (2000). A trauma resource allocation model for ambulances and hospitals. Health Services Research, 35(2), 489.
]Search in Google Scholar
[
Budge, S., Ingolfsson, A., & Zerom, D. (2010). Empirical analysis of ambulance travel times: the case of Calgary emergency medical services. Management Science, 56(4), 716–723. https://doi.org/10.1287/mnsc.1090.1142
]Search in Google Scholar
[
Diller, G. P., Kempny, A., Piorkowski, A., Grübler, M., Swan, L., Baumgartner, H., Dimopoulos, K., & Gatzoulis, M. A. (2014). Choice and competition between adult congenital heart disease centers: evidence of considerable geographical disparities and association with clinical or academic results. Circ Cardiovasc Qual Outcomes, 7(2), 285–291. https://doi.org/10.1161/CIRCOUTCOMES.113.000555
]Search in Google Scholar
[
Fisher, R., & Lassa, J. (2017). Interactive, open source, travel time scenario modelling: tools to facilitate participation in health service access analysis. International Journal of Health Geographics, 16(1), Article 13. https://doi.org/10.1186/s12942-017-0086-8
]Search in Google Scholar
[
Geisberger, R., Sanders, P., Schultes, D., & Delling, D. (2008). Contraction hierarchies: faster and simpler hierarchical routing in road networks. In C. C. McGeoch. (Ed.), Experimental Algorithms. WEA 2008. Lecture Notes in Computer Science, 5038. Springer. https://doi.org/10.1007/978-3-540-68552-4_24
]Search in Google Scholar
[
GeoTools. (2023, July). GeoTools the open source Java GIS toolkit. https://geotools.org/
]Search in Google Scholar
[
Ingolfsson, A. (2013). Ems planning and management. In G. S. Zaric (Ed.), Operations Research and Health Care Policy (pp. 105–128). Springer.
]Search in Google Scholar
[
Karau, H., Konwinski, A., Wendell, P., & Zaharia, M. (2016). Poznajemy Sparka. Błyskawiczna analiza danych. PWN.
]Search in Google Scholar
[
Kozieł, G. (2014). Algorytmy wyznaczania optymalnej trasy przejazdu. Logistyka, 3, 3206–3212.
]Search in Google Scholar
[
Lee, E. (2014). Designing service coverage and measuring accessibility and serviceability of rural and small urban ambulance systems. Systems, 2(1), 34–53. https://doi.org/10.3390/systems2010034
]Search in Google Scholar
[
Lewandowicz, E., & Flisek, P. (2017). Dostępność komunikacyjna w analizach sieciowych w przestrzeniach heterogenicznych (Communication availability in network analysis in heterogeneous spaces). Roczniki Geomatyki, 15(4(79)), 375–389.
]Search in Google Scholar
[
Lupa, M., Chuchro, M., Sarlej, W., & Adamek, K. (2021). Emergency ambulance speed characteristics: a case study of Lesser Poland voivodeship, southern Poland. GeoInformatica, 25, 775–798. https://doi.org/10.1007/s10707-021-00447-w
]Search in Google Scholar
[
Lupa, M., Szombara, S., Chuchro, M., & Chrobak, T. (2017). Limits of Colour Perception in the Context of Minimum Dimensions in Digital Cartography. International Journal of Geo-Information, 6(9), 276. https://doi.org/10.3390/ijgi6090276
]Search in Google Scholar
[
Mitosz, M, Złomaniec, P., & Badurowicz, M. (2014). Modele matematyczne optymalizacji tras w transporcie medycznym [Mathematical models of route optimization in medical transport field]. Logistyka, 6, 7524–7533.
]Search in Google Scholar
[
Myers, B., Fisher, R., Nelson, N., & Belton, S. (2015). Defining remoteness from health care: integrated research on accessing emergency maternal care in Indonesia. AIMS public health, 2(3), 257–273. https://doi.org/10.3934/publichealth.2015.3.257
]Search in Google Scholar
[
OSRM. (2023, July). Open Source Routing Machine. github.com/Project-OSRM/osrm-backend/wiki/Running-OSRM
]Search in Google Scholar
[
Peleg, K., & Pliskin, J. S. (2004). A geographic information system simulation model of EMS: reducing ambulance response time. The American journal of emergency medicine, 22(3), 164–170. https://doi.org/10.1016/j.ajem.2004.02.003
]Search in Google Scholar
[
Piórkowski, A. (2018). Construction of a dynamic arrival time coverage map for emergency medical services. Open Geosciences, 10, 167–173. https://doi.org/10.1515/geo-2018-0013
]Search in Google Scholar
[
Płokita, I., Piórkowski, A., & Lupa, M. (2016). Comparative analysis of algorithms for calculating arrival times of emergency vehicles. Geoinformatica Polonica, 15, 85–91. https://doi.org/10.4467/21995923GP.16.009.5485
]Search in Google Scholar
[
Schmid, V. (2012). Solving the dynamic ambulance relocation and dispatching problem using approximate dynamic programming. European Journal of Operational Research, 219(3), 611–621. https://doi.org/10.1016/j.ejor.2011.10.043
]Search in Google Scholar
[
Shuib, A., & Zaharudin, Z. A. (2010). Framework of tazopt model for ambulance location and allocation problem. World Academy of Science, Engineering and Technology, 70, 678–683.
]Search in Google Scholar
[
Swalehe, M., & Aktas, S. G. (2016). Dynamic ambulance deployment to reduce ambulance response times using geographic information systems: A case study of Odunpazari District of Eskisehir Province, Turkey. Procedia Environmental Sciences, 36, 199–206. https://doi.org/10.1016/j.proenv.2016.09.033
]Search in Google Scholar
[
Terzi, O., Sisman, A., Canbaz, S., Dündar, C., & Peksen, Y. (2013). A geographic information system- based analysis of ambulance station coverage area in Samsun, Turkey. Singapore Med J, 54(11), 653–658. http://dx.doi.org/10.11622/smedj.2013228
]Search in Google Scholar
[
Vanderschuren, M., & McKune, D. (2015). Emergency care facility access in rural areas within the golden hour?: Western Cape case study. International Journal of Health Geographics, 14(1), 5. https://doi.org/10.1186/1476-072X-14-5
]Search in Google Scholar
[
Wajid, S., Nezamuddin, N., & Unnikrishnan, A. (2020). Optimizing ambulance locations for coverage enhancement of accident sites in South Delhi. Transportation Research Procedia, 48, 280–289. https://doi.org/10.1016/j.trpro.2020.08.022
]Search in Google Scholar
[
Westgate, B. S., Woodard, D. B., Matteson, D. S., & Henderson, S. G. (2016). Large-network travel time distribution estimation for ambulances. European Journal of Operational Research, 252(1), 322–333.
]Search in Google Scholar
, , 