VolRC RAS scientific journal (printed edition)
03.05.202405.2024с 01.01.2024
Page views
Visitors
* - daily average in the current month
RuEn

Journal section "Scientific reviews. "

Search for Ways of Optimal Spatial Placement of Healthcare Infrastructure Facilities: a Review of Methodological Tools

Dianov S.V., Kalashnikov K.N., Rigin V.A.

Volume 25, Issue 2, 2021

Dianov S.V., Kalashnikov K.N., Rigin V.A. Search for ways of optimal spatial placement of healthcare infrastructure facilities: a review of methodological tools. Problems of Territory's Development, 2021, vol. 25, no. 2, pp. 108–127. DOI: 10.15838/ptd.2021.2.112.7

DOI: 10.15838/ptd.2021.2.112.7

Abstract   |   Authors   |   References
  1. Friedmann J. Regional development policy. Boston, Mass. Inst. Techn, 1966.
  2. Zubarevich N.V. Development of the Russian space: barriers and opportunities for regional policy. Mir novoy ekonomiki=The World of New Economy, 2017, no. 2, pp. 46–57 (in Russian).
  3. Trofimenko A.S. Modeling the optimization of a network of medical institutions in the context of healthcare restructuring. SCI-ARTICLE.RU, 2015, no. 17. Available at: http://sci-article.ru/stat.php?i=1419161781 (accessed: October 12, 2020; in Russian).
  4. Skiena S.S. The Algorithm Design Manual. Springer, 2008. 730 p.
  5. Karmanov V.G. Matematicheskoye programmirovaniye [Mathematical Programming]. Moscow: Nauka, 1986. 288 p.
  6. Alekseeva E.V., Orlov A.V. Memetic algorithm for the competitive p-median problem. In: Metody optimizatsii i ikh prilozheniya: Tr. XIV Baykal'skiye Mezhdunarodnyye shkoly-seminary. Tom 1 [Optimization Methods and Their Applications: XIV Baikal International School, vol. 1]. Severobaikalsk, 2008, pp. 570–585 (in Russian).
  7. Katermina T.S., Sin’kevich S.S. Application of the combined genetic algorithm to solving the traveling salesman problem. MZhPI=IJAS, 2017, vol. 7, no. 2, pp. 65–71. DOI: 10.12731/2227-930X-2017-2-2-65-71 (in Russian).
  8. Glotov А.А. Medical GIS – the basis of region safety integrated assessment. GEOMATICS, 2013, no. 3, pp. 45–49 (in Russian).
  9. Tsvetkov V.Ya. Geoinformatsionnyye sistemy i tekhnologii [Geopolitical Information Systems and Technologies]. Moscow: Finansy i statistika, 1998. 288 p.
  10. Mitchell E. Rukovodstvo po GIS-analizu. Chast' 1. Prostranstvennyye modeli i vzaimosvyazi: perevod s angliyskogo [GIS Analysis Guide. Part 1. Spatial Models and Relationships: Translated from English]. Kiev: ZAO ESOMM Co; Stilos, 2000. 198 p.
  11. Gorbunov V.S. Using the model of Y. von Thunen in modern regional economy. Moskovskiy ekonomicheskiy zhurnal=Moscow Economic Journal, 2017, no. 2, pp. 1–10 (in Russian).
  12. Tsvetkov V. Ya., Semushkina S.G. the geoinformation analysis of tasks of accommodation. Vestnik Moskovskogo gosudarstvennogo oblastnogo pedagogicheskogo universiteta. Seriya: Ekonomika=Bulletin of the Moscow Region State University. Series: Economics, 2009, no. 4, pp. 61–64 (in Russian).
  13. Tsvetkov V.Ya., Oznamets V.V., Filatov V.N. Task of accommodation of the spatial object based on the use of the fuzzy information situations. Informatsiya i kosmos=Information and Space, 2018, no. 4, pp. 103–109 (in Russian).
  14. Khachaturov V.R. et al. Kombinatornyye metody i algoritmy resheniya zadach diskretnoy optimizatsii bol'shoy razmernosti [Combinatorial Methods and Algorithms for Solving Large-Scale Discrete Optimization Problems]. Moscow: Nauka, 2000. 360 p.
  15. Gimadi E.Kh. Location problems on a network with centrally connected service areas. In: Upravlyayemyye sistemy: sbornik nauchnykh trudov [Controlled Systems: Collection of Research Papers.]. Novosibirsk: Institute of Mathematics, Siberian Branch of the USSR Academy of Sciences, 1984, no. 25, pp. 38–47 (in Russian).
  16. Tsvetkov V.Ya. Geomarketing: Prikladnyye zadachi i metody [Geomarketing: Application and Techniques]. Moscow: Finansy i statistika, 2002. 240 p.
  17. Vasiutinskaya S.I. Application of geoinformatics for the solution of economic problems. Perspektivy nauki i obrazovaniya=Perspectives of Science & Education, 2015, no. 5, pp. 125–129 (in Russian).
  18. Makarov V.L. et al. Agent-based supercomputer demographic model of Russia: Approbation Analysis. Ekonomicheskie i sotsial’nye peremeny: fakty, tendentsii, prognoz=Economic and Social Changes: Facts, Trends, Forecast, 2019, vol. 12, no. 6, pp. 74–90. DOI: 10.15838/esc.2019.6.66.4 (in Russian).
  19. Rossoshanskaya Е.А. Integrated agent-based model of labor potential reproduction of a municipal formation. Ekonomicheskie i sotsial’nye peremeny: fakty, tendentsii, prognoz=Economic and Social Changes: Facts, Trends, Forecast, 2019, vol. 12, no. 1, pp. 124–137. DOI: 10.15838/esc.2019.1.61 (in Russian).
  20. Makarov V.L. et al. COVID-19 epidemic modeling – advantages of an agent-based approach. Ekonomicheskie i sotsial’nye peremeny: fakty, tendentsii, prognoz=Economic and Social Changes: Facts, Trends, Forecast, 2020, vol. 13, no. 4, pp. 58–73. DOI: 10.15838/esc.2020.4.70.3 (in Russian).
  21. Laker L.F., Torabi E., France D.J. et al. Understanding emergency care delivery through computer simulation modeling. Academic Emergency Medicine. Official Journal of the Society for Academic Emergency Medicine, 2018, vol. 25 (2), pp. 116–127. DOI: 10.1111/acem.13272
  22. Law A.M. Simulation Modeling & Analysis. McGraw-Hill, 2007. 768 p.
  23. Sterman J.D. System dynamics modeling: Tools for learning in a complex world. California Management Review, 2001, no. 4, pp. 8–25.
  24. Banks J., Carson J.S., Nelson B.L., Nicol D. Discrete-event System Simulation. 5th ed. Upper Saddle River. New Jersey: Prentice Hall, 2009. 622 p.
  25. Bazghandi A. Techniques, advantages and problems of agent based modeling for traffic simulation. International Journal of Computer Science Issues, 2012, vol. 9, pp. 115–119.
  26. Dianov S.V., Shvetsov A.N. Simulation modeling of emergency health care system. Vestnik VoGU. Seriya: Tekhnicheskiye nauki=Bulletin of Vologda State University. Series Technical Sciences, 2020, no. 2 (8), pp. 27–33 (in Russian).
  27. Begicheva S.V. Computer simulation of the spatial ambulance location in an urban area. Fundamental'nyye issledovaniya=Fundamental Research, 2019, no. 6, pp. 24–28 (in Russian).
  28. Aboueljinane L., Sahin E., Jemai Z., Marty J. A simulation study to improve the performance of an emergency medical service: Application to the French Val-de-Marne department. Simul. Model. Pract. Theory, 2014, vol. 47, pp. 46–59.
  29. Zhen L., Wang K., Hu H., Chang D. A simulation optimization framework for ambulance deployment and relocation problems. Computers & Industrial Engineering, 2014, vol. 72, pp. 12–23.
  30. Aringhieri R. An integrated DE and AB simulation model for EMS management. In: Proceedings of the 2010 IEEE Workshop on Health Care Management, 2010. Pp. 1–6.
  31. Anagnostou A., Nouman A., Taylor S.J.E. Distributed hybrid agent-based discrete event emergency medical services simulation. In: Proceedings of the 2013 Winter Simulation Conference, 2013. Pp. 1625–1636.
  32. Cassidy R., Singh N.S., Schiratti P. et al. Mathematical modelling for health systems research: a systematic review of system dynamics and agent-based models. BMC Health Serv. Res., 2019, vol. 19, p. 845. Available at: https://doi.org/10.1186/s12913-019-4627-7 (accessed 12.10.2020).
  33. Ismagilova L.A. Model of territorial placing objects of sphere of services. Vestnik UGATU=Vestnik Ufa State Aviation Technical University, 2009, vol. 12, no. 3 (32), pp. 134–140 (in Russian).
  34. Babina O.I. Development of simulation optimization model for support of planning processes of warehouse systems. Komp'yuternyye issledovaniya i modelirovaniye=Computer Research and Modeling, 2014, vol. 6, no. 2, pp. 295−307 (in Russian).
  35. Eskandari H., Darayi M., Geiger D.Ch. Using simulation optimization as a decision support tool for supply chain coordination with contracts. Proceedings of the 2010 Winter Simulation Conference, 2010. Pp. 1306–1317.
  36. Pichitlamken P., Nelson B.L. Optimization via simulation: a combined procedure for optimization via simulation. Proceedings of the 2002 Winter Simulation Conference, 2002. Pp. 292–300.
  37. Vittikh V.A., Skobelev P.O. Multiagent interaction models for constructing the needs-and-means networks in open systems. Avtomatika i telemekhanika=Automation and Remote Control, 2003, no. 1, pp. 177–185 (in Russian).
  38. Pavlenko S.S. Solution of the task of choosing location of container distribution centers. Vestnik AGTU. Seriya: Morskaya tekhnika i tekhnologiya=Vestnik of Astrakhan State Technical University. Series: Marine Engineering and Technologies, 2015, no. 4, pp. 93–102 (in Russian).
  39. Berchi R., Fontana G., Pagliosa A., Bonora R., Sesana G. A five steps methodology for an ambulance planning. Proceedings of the 2010 IEEE Workshop on Health Care Management, 2010. Pp. 1–5.
  40. Morohosi H., Furuta T. Optimization model and simulation for improving ambulance service system. 11th International Symposium on Operations Research and its Applications in Engineering, Technology and Management, 2013. Pp. 23–25.

Article views

all: , this year: , this month: , today:

Article downloads

all: , this year: , this month: , today: