Urban public transport policy in the conditions of COVID-19

dc.citation.epage250
dc.citation.issue4
dc.citation.spage243
dc.contributor.affiliationWest Ukrainian National University
dc.contributor.affiliationIvano-Frankivsk National Technical University of Oil and Gas
dc.contributor.affiliationLviv Polytechnic National University
dc.contributor.affiliationTernopil Ivan Pul’uj National Technical University
dc.contributor.affiliationBogomolets National Medical University
dc.contributor.authorPopovych, Pavlo
dc.contributor.authorPoberezhny, Lubomyr
dc.contributor.authorShevchuk, Oksana
dc.contributor.authorVikovych, Ihor
dc.contributor.authorSkyba, Olena
dc.contributor.authorPoberezhna, Lubov
dc.contributor.authorYasrebov, Taras
dc.coverage.placenameЛьвів
dc.coverage.placenameLviv
dc.date.accessioned2023-03-24T09:54:12Z
dc.date.available2023-03-24T09:54:12Z
dc.date.created2020-10-10
dc.date.issued2020-10-10
dc.description.abstractThe purpose of the research is formation of passenger transport policy by public transport from the standpoint of determining the level of safety in COVID-19 and passenger comfort with the development of basics for measuring the perception of the most important factors of public transport convenience, minimum discomfort and maximum safety. Methodology. The study was conducted in two stages - inhouse and experimental – the collection and processing of data obtained from the survey of passenger flows. Continuous field research by the tabular method which in comparison with the existing ones is the most time-consuming, but the only one that can provide maximum accuracy of passenger information for further processing of the obtained statistical data of the studied system of public transport. The information obtained by organoleptic means was entered for further processing in the special accounting map, then calculations were performed for traffic areas between the stopping points of each studied route. Findings. The results of field research using the model of discomfort allow us to correctly predict the choice of mode of transport and the behaviour of passengers when using public transport in medium-sized cities. It is proved that the artificial underloading of the vehicle to avoid tight contact of passengers does not affect the level of infection with the virus of COVID-19 and, therefore, this restriction is not appropriate. Conclusions. Formation of the strategy of passengers' transportation in the conditions of COVID-19 is possible only with the use of the characteristic indicators of the transportation of people established by the multi-criteria analysis of a transport network – the level of discomfort, vehicle filling factor, the average time of transportation, the average distance of transportation. It is obligatory to use such means of protection as masks and gloves, provide the enhanced ventilation of the salon, and organize passengers' boarding through the back door with 100 % contactless fare payment.
dc.format.extent243-250
dc.format.pages8
dc.identifier.citationUrban public transport policy in the conditions of COVID-19 / Pavlo Popovych, Lubomyr Poberezhny, Oksana Shevchuk, Ihor Vikovych, Olena Skyba, Lubov Poberezhna, Taras Yasrebov // Environmental Problems. — Lviv : Lviv Politechnic Publishing House, 2020. — Vol 5. — No 4. — P. 243–250.
dc.identifier.citationenPopovych P., Poberezhny L., Shevchuk O., Vikovych I., Skyba O., Poberezhna L., Yasrebov T. (2020) Urban public transport policy in the conditions of COVID-19. Environmental Problems (Lviv), vol. 5, no 4, pp. 243-250.
dc.identifier.doihttps://doi.org/10.23939/ep2020.04.243
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/57791
dc.language.isoen
dc.publisherВидавництво Львівської політехніки
dc.publisherLviv Politechnic Publishing House
dc.relation.ispartofEnvironmental Problems, 4 (5), 2020
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dc.relation.referencesen[3] Boreiko O., Teslyuk V., 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT 2017) ,Ukraine 2017, 1, 113.
dc.relation.referencesen[4] Bashutska O., Panchuk, N., Simulation of Optimal Routes Passenger Transport. Update, 2, 5.
dc.relation.referencesen[5] Maslak O. I., Moroz O. V., Moroz M. M., Actual Problems Of Economics,2014, 10, 239.
dc.relation.referencesen[6] Lytvynenko I. V., Maruschak P. O., Lupenko S. A., Popovych P. V., Materials Science, 2016, 52(1), 113.
dc.relation.referencesen[7] Petraška A., Čižiūnienė K., Jarašūnienė A., Maruschak P., Prentkovskis O. : J. of Business Economics and Management, 2017,18(6), 1098.
dc.relation.referencesen[8] Popovych P. V., Lyashuk O. L., Shevchuk O. S., Tson, O. P., Poberezhna L. Y., Bortnyk I. M., INMATEH-Agricultural Engineering, 2017, 52(2), 113.
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dc.relation.referencesen[12] Du Z., Wang L., Cauchemez S., Xu X., Wang X., Cowling B. J., Meyers L. A.:. Emerging infectious diseases, 2020, 26(5), 1049.
dc.relation.referencesen[13] Jin Y. H., Cai L., Cheng Z. S., Cheng H., Deng T., Fan Y. P., Han Y., Military Medical Research, 2020,7(1), 4.
dc.relation.referencesen[14] Lai S., Leone, F., Zoppi C., TeMA-Journal of Land Use, Mobility and Environment, 2020, 231.
dc.relation.referencesen[15] Zheng R., Xu Y., Wang W., Ning G., Bi Y., Travel Medicine and Infectious Disease, 2020.
dc.relation.referencesen[16] World Health Organization.. Coronavirus disease 2019 ( COVID-19) : Situation report, 88.
dc.relation.referencesen[17] Şükrü İmre, Dilay Çelebi: Transportation Research Procedia, 2017, 25, 2441.
dc.relation.referencesen[18] Sekulić D., Dedović V., Rusov S., Obradović, A., Šalinić S., Int. J. Ind. Ergon, 2016, 53, 328.
dc.relation.referencesen[19] Sokil B., Lyashuk, O. L., Sokil M., Popovich P. V., Vovk Y. Y., Perenchuk O. Z., International Journal of Automotive and Mechanical Engineering ,2018,15(1), 4880.
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dc.relation.referencesen[21] Boreiko O., Teslyuk V., 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT), 2017, 1, 113.
dc.relation.referencesen[22] Borysova T., Monastyrskyi G., Marketing and Management of Innovations,2018, 3, 229.
dc.relation.referencesen[23] Qin F., Hindawi Publishing Corporation Mathematical Problems in Engineering, 2014, 1.
dc.relation.referencesen[24] Rubin O., Nikolaeva A., Nello-Deakin S., te Brömmelstroet M., What can we learn from the COVID-19 pandemic about how people experience working from home and commuting?. Centre for Urban Studies, University of Amsterdam, 2020.
dc.relation.referencesen[25] Shen Y., Li C., Dong H. et al., JAMA Intern Med. Published online September 01, 2020. doi:10.1001/ jamainternmed.2020.5225
dc.relation.referencesen[26] Chen S., Coronavirus can travel twice as far as official ‘safe distance’ and stay in air for 30 minutes, Chinese study finds. South China Morning Post. March, 9, 2020. https://www.scmp.com/news/china/science/article/3074351/coronavirus-can-travel-twice-far-official-safedistance-and-stay
dc.relation.referencesen[27] Crema E., Not even the air of empty spaces is coronavirus free (Two meters is not a safe distance). preprint arxiv:2006.08823., 2020.
dc.relation.urihttps://www.scmp.com/news/china/science/article/3074351/coronavirus-can-travel-twice-far-official-safedistance-and-stay
dc.rights.holder© Національний університет „Львівська політехніка“, 2020
dc.rights.holder© Popovych P., Poberezhny L., Shevchuk O., Vikovych I. , Skyba O., Poberezhna L., Yasrebov T., 2020
dc.subjectCOVID-19
dc.subjecttransport policy
dc.subjectsafety
dc.subjectpassenger comfort
dc.titleUrban public transport policy in the conditions of COVID-19
dc.typeArticle

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