Application of GIS multi-criteria analysis and cartographic data presentation methods for public transportation optimization: the case of the town of Mińsk Mazowiecki

Kropielnicki, Paweł

doi:10.2478/pcr-2021-0005

Abstract

The author attempts to apply a multi-criteria spatial analysis of issues related to urban public transport in terms of optimizing its usage and accessibility. Publicly available spatial and statistical data were used. Desktop GIS computer software was the primary tool and work environment – due to its popularity and wide interdisciplinary application in studying geospatial phenomena, processes, and dependencies. The article consists of two parts. The first identifies the research area, indicates the data used and the methodology of the conducted analysis, while the second presents the results of analyses in optimizing the functioning of public transport in Mińsk Mazowiecki (Mazowieckie Voivodeship, Poland) and recommendations that may contribute to disseminating the use of multi-criteria analyses in medium-sized cities.

References

Adem Esmail, B., Geneletti, D., & Dicks, L., (2018). Multi–criteria decision analysis for nature conservation: A review of 20 years of applications. Methods in ecology and evolution, 9(1), 42-53. https://doi.org/10.1111/2041-210X.1289910.1111/2041-210X.12899
Search in Google Scholar Back to article
Awad-Núñez, S., Julio, R., Gomez, J., Moya-Gómez, B., & González, J. (2021). Post-COVID-19 travel behaviour patterns: Impact on the willingness to pay of users of public transport and shared mobility services in Spain. European Transport Research Review, 13(1), 1-18. https://doi.org/10.1186/s12544-021-00476-410.1186/s12544-021-00476-4
Search in Google Scholar Back to article
Bielecka E., Filipczak A. (2010). Zasady opracowywania map dostępności. Roczniki Geomatyki, 8(6), 29-38.
Search in Google Scholar Back to article
Budzyński, M., Kustra, W., Okraszewska, R., Jamroz, K., & Pyrchla, J. (2018). The use of GIS tools for road infrastructure safety management. E3S Web of Conferences. Seminary on Geomatics, Civil and Environmental Engineering (2017 BGC), 26, 00009. https://doi.org/10.1051/e3sconf/2018260000910.1051/e3sconf/20182600009
Search in Google Scholar Back to article
Burdziej, J. (2016). Analiza dostępności przestrzennej za pomocą technologii GIS na przykładzie obiektów użyteczności publicznej w Toruniu. Prace Komisji Geografii Komunikacji PTG, 19(1), 43-51. https://doi.org/10.4467/2543859XPKG.16.004.630210.4467/2543859XPKG.16.004.6302
Search in Google Scholar Back to article
Burian, J., Zajíčková, L., Ivan, I., & Macků, K. (2018). Attitudes and motivation to use public or individual transport: A case study of two middle-sized cities. Social Sciences, 7(6), 83. https://doi.org/10.3390/socsci706008310.3390/socsci7060083
Search in Google Scholar Back to article
Chakhar, S., & Mousseau, V. (2017). Multicriteria Decision-Making, Spatial. In S. Shekhar, H. Xiong & X. Zhou (Eds.), Encyclopedia of GIS (2017 Edition, pp: 1396-1404). Springer International Publishing.10.1007/978-3-319-17885-1_839
Search in Google Scholar Back to article
Cichociński P., & Dębińska E. (2012). Badanie dostępności komunikacyjnej wybranej lokalizacji z wykorzystaniem funkcji analiz sieciowych. Roczniki Geomatyki, 10(4), 41-48.
Search in Google Scholar Back to article
DeBoer, M. (2015). Understanding the heat map. Cartographic Perspectives, (80), 39-43. https://doi.org/10.14714/CP80.131410.14714/CP80.1314
Search in Google Scholar Back to article
Ford, A., Barr, S., Dawson, R., & James, P. (2015). Transport accessibility analysis using GIS: Assessing sustainable transport in London. ISPRS International Journal of Geo-Information, 4(1), 124-149. https://doi.org/10.3390/ijgi401012410.3390/ijgi4010124
Search in Google Scholar Back to article
Galton, F. (1881). On the Construction of Isochronic Passage-Charts. Proceedings of the Royal Geographical Society and Monthly Record of Geography, 3(11), 657-658.10.2307/1800138
Search in Google Scholar Back to article
Główny Urząd Geodezji i Kartografii, (n.d.), Zintegrowane kopie baz danych obiektów topograficznych BDOT10k. Retrieved 24 August 2020, from http://www.gugik.gov.pl/pzgik/zamow-dane/baza-danych--obiektow-topograficznych-bdot-10k
Search in Google Scholar Back to article
Gove, R., Gramsky, N., Kirby, R., Sefer, E., Sopan, A., Dunne, C., Shneiderman, B., & Taieb-Maimon, M. (2011). NetVisia: Heat Map & Matrix Visualization of Dynamic Social Network Statistics & Content. Proceedings of the 2011 IEEE Third Int’l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int’l Conference on Social Computing (pp. 19-26). IEEE. https://doi.org/10.1109/passat/SocialCom.2011.21610.1109/PASSAT/SocialCom.2011.216
Search in Google Scholar Back to article
Harasimowicz, A., (2018). Suburbanizacja a rola obszarów otaczających miasto – ujęcie teoretyczne. Studia miejskie, (29), 115-130. https://doi.org/10.25167/sm2018.029.0810.25167/sm2017.029.08
Search in Google Scholar Back to article
Hoffmann, P., Lisiak, M., & Borowiak, K. (2018). Zastosowanie narzędzi GIS w edukacji z zakresu gospodarki przestrzennej i ochrony środowiska. Acta Universitatis Lodziensis. Folia Geographica Socio-Oeconomica, (34), 45-60. https://doi.org/10.18778/1508-1117.34.0310.18778/1508-1117.34.03
Search in Google Scholar Back to article
Hrelja, R., Pettersson, F., & Westerdahl, S. (2016). The Qualities Needed for a Successful Collaboration: A Contribution to the Conceptual Understanding of Collaboration for Efficient Public Transport. Sustainability, 8(6), 542. https://doi.org/10.3390/su806054210.3390/su8060542
Search in Google Scholar Back to article
Jensen, J. & Jensen, R. (2013). Introductory Geographic Information Systems: International Edition. Pearson.
Search in Google Scholar Back to article
Jeong, Y., Chung, Y., & Park, J. (2011). Visualisation of efficiency coverage and energy consumption of sensors in wireless sensor networks using heat map. IET Communications, 5(8), 1129-1137. https://doi.org/10.1049/iet-com.2010.072310.1049/iet-com.2010.0723
Search in Google Scholar Back to article
Kim, J., Kim, J., Jun, M., & Kho, S. (2005). Determination of a bus service coverage area reflecting passenger attributes. Journal of the Eastern Asia Society for Transportation Studies, 6, 529-543. https://doi.org/10.11175/easts.6.529
Search in Google Scholar Back to article
Korneć, R. (2018). System transportu miejskiego wobec zrównoważonego rozwoju. Studia miejskie, 30, 71-84. https://doi.org/10.25167/sm2018.030.0510.25167/sm2018.030.05
Search in Google Scholar Back to article
Liu, D., Xu, Z., Zhou, Y., & Fan, C. (2019). Heat map visualisation of fire incidents based on transformed sigmoid risk model. Fire Safety Journal, 109, 102863. https://doi.org/10.1016/j.jlp.2021.10450510.1016/j.jlp.2021.104505
Search in Google Scholar Back to article
Lunke, E.B. (2020). Commuters’ satisfaction with public transport. Journal of Transport & Health, 16, 100842. https://doi.org/10.1016/j.jth.2020.10084210.1016/j.jth.2020.100842
Search in Google Scholar Back to article
Majewska, A. (2021). Przekształcenia małych miast w Polsce. Studium wybranych miast w strefie podmiejskiej Warszawy. Oficyna Wydawnicza Politechniki Warszawskiej.
Search in Google Scholar Back to article
Malasek, J. (2017). Metoda oceny dostępności i atrakcyjności przystanków miejskiego transportu zbiorowego. Transport Miejski i Regionalny, 9, 26-32.
Search in Google Scholar Back to article
Malczewski, J., & Jaroszewicz, J. (2018). Podstawy analiz wielokryterialnych w systemach informacji geograficznej. Oficyna Wydawnicza Politechniki Warszawskiej.
Search in Google Scholar Back to article
Miller, H., & Wu, Y. (2000). GIS Software for Measuring Space-Time Accessibility in Transportation Planning and Analysis. GeoInformatica, 4(2), 141-159. https://doi.org/10.1023/A:100982000607510.1023/A:1009820006075
Search in Google Scholar Back to article
Ohannessian, R., Bénet, T., Argaud, L., Guérin, C., Guichon, C., Piriou, V., Rimmelé, T., Girard, R., Gerbier-Colomban, S., & Vanhems, P. (2017). Heat map for data visualization in infection control epidemiology: An application describing the relationship between hospital-acquired infections, Simplified Acute Physiological Score II, and length of stay in adult intensive care units. American Journal of Infection Control, 45(7), 746-749. https://doi.org/10.1016/j.ajic.2017.02.01210.1016/j.ajic.2017.02.01228549877
Search in Google Scholar Back to article
Olszewski, R., Gotlib, D. & Iwaniak, A. (2007). GIS. Obszary zastosowań. Wydawnictwo Naukowe PWN.
Search in Google Scholar Back to article
Pettit, C., Widjaja, I., Russo, P., Sinnott, R., Stimson, R., & Tomko, M. (2012). Visualisation support for exploring urban space and place. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 1, 153-158. https://doi.org/10.5194/isprsannals-I-2-153-201210.5194/isprsannals-I-2-153-2012
Search in Google Scholar Back to article
Pietrusiewicz, W. (1996). Problemy metodyczne opracowywania map dostępności czasowej. Polski Przegląd Kartograficzny, 28(2), 87-99.
Search in Google Scholar Back to article
Pokojski, W., Panecki, T., & Słomska-Przech, K. (2021). Cartographic visualization of density: Exploring the opportunities and constraints of Heat Maps. Polish Cartographical Review, 53(1), 21-36. https://doi.org/0.2478/pcr-2021-000310.2478/pcr-2021-0003
Search in Google Scholar Back to article
Polska w liczbach. (n.d.). Mińsk Mazowiecki (mazowieckie) w liczbach. Statistics Poland (GUS). Retrieved 24 August 2020, from https://www.polskawliczbach.pl/Minsk_Mazowiecki#nieruchomosci
Search in Google Scholar Back to article
Rajaram, S. & Oono, Y. (2010). NeatMap--non--clustering heat map alternatives in R. BMC bioinformatics, 11(1), 45. https://doi.org/10.1186/1471-2105-11-4510.1186/1471-2105-11-45309807620096121
Search in Google Scholar Back to article
Roberts, D.J. (2020). Life in times of COVID-19. Transfusion Medicine, 30(3), 167-168. https://doi.org/10.1111/tme.1268810.1111/tme.12688727294632401394
Search in Google Scholar Back to article
Sainio, J., Westerholm, J., & Oksanen, J. (2015). Generating Heat Maps of Popular Routes Online from Massive Mobile Sports Tracking Application Data in Milliseconds While Respecting Privacy. ISPRS International Journal of Geo-information, 4(4), 1813-1826. https://doi.org/10.3390/ijgi404181310.3390/ijgi4041813
Search in Google Scholar Back to article
Sitek, K., Pokojski, W., & Gołębiowska, I. (2020). Evaluation of time availability of the selected rescue service of a large city. A case study of Warsaw. Polish Cartographical Review, 52(4), 176-186. https://doi.org/10.2478/pcr-2020-001510.2478/pcr-2020-0015
Search in Google Scholar Back to article
Słomska-Przech, K., Panecki, T. & Pokojski, W. (2021). Heat Maps: Perfect Maps for Quick Reading? Comparing Usability of Heat Maps with Different Levels of Generalization. ISPRS International Journal of Geo-Information, 10(8), 562. https://doi.org/10.3390/ijgi1008056210.3390/ijgi10080562
Search in Google Scholar Back to article
Suchecka, J. (Ed.). (2014). Statystyka przestrzenna. Metody analiz struktur przestrzennych. Wydawnictwo C.H. Beck.
Search in Google Scholar Back to article
Turk, I., Simunic, N., & Zivic, D. (2016). Transport Accessibility As a Factor of Depopulation and Developmental Delay: Case Study Zumberak. Društvena Istraživanja, 25(2), 241-266. https://doi.org/10.5559/di.25.2.0510.5559/di.25.2.05
Search in Google Scholar Back to article
Wang, B., Liu, Y., Qian, J., & Parker, S.K. (2021). Achieving Effective Remote Working During the COVID-19 Pandemic: A Work Design Perspective. Applied psychology, 70(1), 16-59. https://doi.org/10.1111/apps.1229010.1111/apps.12290767576033230359
Search in Google Scholar Back to article
Wilkinson, L., & Friendly, M., (2009). The History of the Cluster Heat Map. The American Statistician, 63(2), 179-184. https://doi.org/10.1198/tas.2009.003310.1198/tas.2009.0033
Search in Google Scholar Back to article

Application of GIS multi-criteria analysis and cartographic data presentation methods for public transportation optimization: the case of the town of Mińsk Mazowiecki

Abstract

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