Characteristics of motorization’s impact on the urban population

Simple item page
dc.citation.epage75
dc.citation.issue2
dc.citation.journalTitleТранспортні технології
dc.citation.spage68
dc.contributor.affiliationLviv Polytechnic National University
dc.contributor.authorFornalchyk, Yevhen
dc.contributor.authorHilevych, Volodymyr
dc.coverage.placenameЛьвів
dc.coverage.placenameLviv
dc.date.accessioned2024-02-22T07:50:14Z
dc.date.available2024-02-22T07:50:14Z
dc.date.created2023-02-28
dc.date.issued2023-02-28
dc.description.abstractВідомо, що найважливішим для підтримання доброго здоров’я містян є збереження їхнього життя від можливих смертельних ДТП, забезпечення чистоти повітряного простору, ізолювання від надмірних шумових забруднень, електромагнітних полів. Перелічені негативні впливи генерують інтенсивні транспортні потоки, які є основною компонентою транспортних систем. З урахуванням надзвичайної важливості забезпечення нормального життєвого простору для міського населення, який формується, зокрема, нормативами функціонування транспортної системи, актуалізувалось завдання щодо виявлення закономірностей зміни автомобілізації упродовж останніх п’яти років. Автомобілізацію раніше вважали однією із характеристик добробуту населення. Зростання уже нині супроводжується у великих містах і негативними явищами, такими як: ДТП із втратами життів населення; погіршення якості повітряного басейну; надмірні транспортні шуми; надмірні електромагнітні поля, які спричиняють інтенсивні транспортні потоки. Усі ці негативні характеристики зростання рівня автомобілізації стали предметом цього дослідження. На підставі статистичних даних визначено хронологічну закономірність підвищення показника автомобілізації, виявлено тенденції змін шкідливостей за роками (вони описуються показниковими та прямолінійними рівняннями): є постійні зростання за 2017–2022 рр. Визначено також функціональні залежності впливу рівнів автомобілізації на кожну із шкідливостей: вплив автомобілізації на смертельні ДТП та забруднення повітря описуються показниковими рівняннями, а шумові та електромагнітні – прямолінійними неспадними рівняннями. На основі отриманих результатів зроблено висновки щодо зменшення їх впливу заміною звичайних транспортних систем на інтелектуальні транспортні системи з елементами штучного інтелекту.
dc.description.abstractIt is known that the most important thing in maintaining the good health of citizens is to save their lives from possible fatal road accidents, ensure the cleanliness of the air space, isolation from excessive noise pollution, electromagnetic fields. The listed negative impacts generate intensive traffic flows, which are the main component of transport systems. The task of identifying the patterns of changes in motorization over the past five years has become important. Motoriization, as it was previously believed, is one of the characteristics of the well-being of the population. Growth is already accompanied in large cities by negative phenomena, such as: road accidents with loss of life; deterioration of air pool quality; excessive traffic noise; excessive electromagnetic fields that cause intense traffic flows. All these negative characteristics of the increase in the level of motorization formed the subject of this study. First of all, on the basis of statistical data, a chronological pattern of growth in the indicator of motorization has been found by year were revealed based of statistical data (they are described by showing filamentous and rectilinear equations): there is a constant increase for the period from 2017 to 2022. Functional dependencies of the influence of motorization levels on each of the hazards were also found: the influence of motorization on fatal road accidents and air pollution is described by exponential equations, and noise and electromagnetic ones are described by straight-line non-decreasing equations. Based on the obtained results, conclusions were drawn regarding the reduction of their impact by replacing conventional transport systems with intelligent transport systems with elements of artificial intelligence.
dc.format.extent68-75
dc.format.pages8
dc.identifier.citationFornalchyk Y. Characteristics of motorization’s impact on the urban population / Yevhen Fornalchyk, Volodymyr Hilevych // Transport Technologies. — Lviv : Lviv Politechnic Publishing House, 2023. — Vol 4. — No 2. — P. 68–75.
dc.identifier.citationenFornalchyk Y. Characteristics of motorization’s impact on the urban population / Yevhen Fornalchyk, Volodymyr Hilevych // Transport Technologies. — Lviv : Lviv Politechnic Publishing House, 2023. — Vol 4. — No 2. — P. 68–75.
dc.identifier.doidoi.org/10.23939/tt2023.02.068
dc.identifier.issn2708-2199
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/61388
dc.language.isoen
dc.publisherВидавництво Львівської політехніки
dc.publisherLviv Politechnic Publishing House
dc.relation.ispartofТранспортні технології, 2 (4), 2023
dc.relation.ispartofTransport Technologies, 2 (4), 2023
dc.relation.references1. United Nations General Assembly (September 25, 2015). Resolution #70/1 «Transforming our world: the 2030 Agenda for Sustainable Development». Retrieved from: https://sdgs.un.org/2030agenda (in English)
dc.relation.references2. Cabinet of Ministers of Ukraine #456 «Pro zatverdzhennia Prohramy zabezpechennia bezpeky dorozhnoho rukhu ta ekolohichnoi bezpeky transportnykh zasobiv» [On the approval of the Program for ensuring road traffic safety and environmental safety of vehicles]. Retrieved from: https://zakon.rada.gov.ua/laws/show/456-98-%D0%BF#Text (in Ukrainian).
dc.relation.references3. Kokane, C. D., Mohadikar, G., Khapekar, S., Jadhao, B., Waykole, T., & Deotare, V. V. (2023). Machine Learning Approach for Intelligent Transport System in IOV-Based Vehicular Network Traffic for Smart Cities. International Journal of Intelligent Systems and Applications in Engineering, 11(11s), 06-16. (in English).
dc.relation.references4. Serafini, M. M., Maddalon, A., Iulini, M., & Galbiati, V. (2022). Air Pollution: Possible Interaction between the Immune and Nervous System?. International journal of environmental research and public health, 19(23), 16037. doi: 10.3390/ijerph192316037 (in English). https://doi.org/10.3390/ijerph192316037
dc.relation.references5. Mishra, R. K., Parida, M., & Rangnekar, S. (2010). Evaluation and analysis of traffic noise along bus rapid transit system corridor. International Journal of Environmental Science & Technology, 7, 737-750. doi: 10.1007/BF03326183 (in English). https://doi.org/10.1007/BF03326183
dc.relation.references6. Laslov, S., Tokin, O., & Onyshchenko, A. (2022). Determining Regularities in the Distribution of Noise Load from Motorways and Road Bridges Depending on the Distance to a Residential Area. Eastern-European Journal of Enterprise Technologies, 1(10), 55-64. doi: 10.15587/1729-4061.2022.253389 (in English). https://doi.org/10.15587/1729-4061.2022.253389
dc.relation.references7. Ding, P.P., Bernard, L., Pichon, L. & Razek, A. (2014). Evaluation of electromagnetic fields in human body exposed to wireless inductive charging system. IEEE Transactions on Magnetics, 50(2), 1037-1040. doi: 10.1109/TMAG.2013.2284245 (in English). https://doi.org/10.1109/TMAG.2013.2284245
dc.relation.references8. Pryciński, P., Wawryszczuk, R., Korzeb, J., & Pielecha, P. (2023). Indicator Method for Determining the Emissivity of Road Transport Means from the Point of Supplied Energy. Energies, 16(12), 4541. doi: 10.3390/en16124541 (in English). https://doi.org/10.3390/en16124541
dc.relation.references9. Pielecha, J., Skobiej, K. & Kurtyka, K. (2020). Exhaust emissions and energy consumption analysis of conventional, hybrid, and electric vehicles in real driving cycles. Energies, 13(23), 1-21. doi: 10.3390/en13236423 (in English). https://doi.org/10.3390/en13236423
dc.relation.references10. Ministry of health of Ukraine. Resolution #239 «Pro zatverdzhennia Derzhavnykh sanitarnykh pravyl ta norm zakhystu naselennia vid vplyvu elektromahnitnoho vyprominiuvannia». [On the approval of state sanitary rules and standards for the protection of the population from the effects of electromagnetic radiation]. Retrieved from: https://zakon.rada.gov.ua/laws/show/z0488-96#Text (in Ukrainian).
dc.relation.references11. Zhuk, M., Kovalyshyn, V., Royko, Y. & Barvinska, K. (2017). Research on drivers' reaction time in different conditions. Eastern-European Journal of Enterprise Technologies, 2, (3-86), 24-31. doi: 10.15587/1729-4061.2017.98103 (in English). https://doi.org/10.15587/1729-4061.2017.98103
dc.relation.references12. Yefymenko, R.V., Petrashenko, O.P. & Pyna, O.H. (2022). Analiz vplyvu tekhnichnykh zasobiv orhanizatsii dorozhnoho rukhu na bezpeku urazlyvykh uchasnykiv dorozhnoho rukhu [Analysis of the impact of technical means of traffic management on the safety of vulnerable road users]. Zbirnyk naukovykh prats «Dorohy i mosty» [The Collection of scientific papers «Roads and Bridges»], 26, 274-284. doi: 10.36100/dorogimosti2022.26.274 (in Ukrainian). https://doi.org/10.36100/dorogimosti2022.26.274
dc.relation.references13. Fornalchyk, Ye.Yu. (2013). Novyi pidkhid u sprobi znyzhennia tysku avtomobilizatsii na dovkillia [A new approach in an attempt to reduce the pressure of motorization on the environment]. Naukovo-vyrobnychyi zhurnal «Avtoshliakhovyk Ukrainy» [A Scientific and Industrial Journal the Avtoshliakhovyk Ukrayiny], 1(2013), 22-23. (in Ukrainian)
dc.relation.references14. Fornalchyk, Ye.Yu. (2022). Vplyv riznykh sposobiv peresuvannia zhyteliv mista na yikh zdorovia [The influence of different ways of movement of city residents on their health]. In Grail of Science, (pp. 376-377). doi: 10.36074/grail-of-science.27.05.2022.067 (in Ukrainian). https://doi.org/10.36074/grail-of-science.27.05.2022.067
dc.relation.references15. Singh A. (2018). Use of Geographical Information System in Intelligent Transport System. International Journal of Research and Analytical Reviews, 5(4), 882-890. doi: 10.6084/m9.doi.one.IJRAR1BIP149 (in English).
dc.relation.references16. Abramova, L.S. (2020). Teoretychni osnovy formuvannia rozpodilenykh system upravlinnia dorozhnim rukhom u mistakh [Theoretical foundations of the formation of distributed traffic management systems in cities]. Doctor's thesis. Kharkiv: Kharkiv National Automobile and Road University (in Ukrainian).
dc.relation.references17. Mateichyk, V.P., Tsiuman, M.P. & Smeshek M.. (2016). Osoblyvosti monitorynhu i kontroliu pokaznykiv ekolohichnoi bezpeky transportnykh zasobiv i transportnykh potokiv v umovakh intelektualnykh system [Peculiarities of monitoring and control of indicators of environmental safety of vehicles and transport flows in the conditions of intelligent systems]. Naukovo-tekhnichnyi zbirnyk «Visnyk Natsionalnoho transportnoho universytetu» [The National Transport University Bulletin: a Scientific and Technical Journal], 1(34), 255-266. (in Ukrainian).
dc.relation.references18. Patrol police of Ukraine. (2023). Statystyka DTP v Ukraini za 2021 rik [Traffic accident statistics in Ukraine for 2021]. Retrieved from: https://patrolpolice.gov.ua/statystyka/ (in Ukrainian).
dc.relation.references19. Chowdhury, M., Sadek, A., Yongchang, M., Kanhere, N. & Bhavsar, P. (2006). Applications of Artificial Intelligence Paradigms to Decision Support in Real-Time Traffic Management. Transportation Research Record: Journal of the Transportation Research Board, 1986(1), 92-98. doi: 10.1177/0361198106196800111 (in English). https://doi.org/10.1177/0361198106196800111
dc.relation.references20. Šusteková, D., & Knutelská, M. (2015). How is the artificial intelligence used in applications for traffic management. Machines. Technologies. Materials., 9(10), 49-52. (in English).
dc.relation.referencesen1. United Nations General Assembly (September 25, 2015). Resolution #70/1 "Transforming our world: the 2030 Agenda for Sustainable Development". Retrieved from: https://sdgs.un.org/2030agenda (in English)
dc.relation.referencesen2. Cabinet of Ministers of Ukraine #456 "Pro zatverdzhennia Prohramy zabezpechennia bezpeky dorozhnoho rukhu ta ekolohichnoi bezpeky transportnykh zasobiv" [On the approval of the Program for ensuring road traffic safety and environmental safety of vehicles]. Retrieved from: https://zakon.rada.gov.ua/laws/show/456-98-%D0%BF#Text (in Ukrainian).
dc.relation.referencesen3. Kokane, C. D., Mohadikar, G., Khapekar, S., Jadhao, B., Waykole, T., & Deotare, V. V. (2023). Machine Learning Approach for Intelligent Transport System in IOV-Based Vehicular Network Traffic for Smart Cities. International Journal of Intelligent Systems and Applications in Engineering, 11(11s), 06-16. (in English).
dc.relation.referencesen4. Serafini, M. M., Maddalon, A., Iulini, M., & Galbiati, V. (2022). Air Pollution: Possible Interaction between the Immune and Nervous System?. International journal of environmental research and public health, 19(23), 16037. doi: 10.3390/ijerph192316037 (in English). https://doi.org/10.3390/ijerph192316037
dc.relation.referencesen5. Mishra, R. K., Parida, M., & Rangnekar, S. (2010). Evaluation and analysis of traffic noise along bus rapid transit system corridor. International Journal of Environmental Science & Technology, 7, 737-750. doi: 10.1007/BF03326183 (in English). https://doi.org/10.1007/BF03326183
dc.relation.referencesen6. Laslov, S., Tokin, O., & Onyshchenko, A. (2022). Determining Regularities in the Distribution of Noise Load from Motorways and Road Bridges Depending on the Distance to a Residential Area. Eastern-European Journal of Enterprise Technologies, 1(10), 55-64. doi: 10.15587/1729-4061.2022.253389 (in English). https://doi.org/10.15587/1729-4061.2022.253389
dc.relation.referencesen7. Ding, P.P., Bernard, L., Pichon, L. & Razek, A. (2014). Evaluation of electromagnetic fields in human body exposed to wireless inductive charging system. IEEE Transactions on Magnetics, 50(2), 1037-1040. doi: 10.1109/TMAG.2013.2284245 (in English). https://doi.org/10.1109/TMAG.2013.2284245
dc.relation.referencesen8. Pryciński, P., Wawryszczuk, R., Korzeb, J., & Pielecha, P. (2023). Indicator Method for Determining the Emissivity of Road Transport Means from the Point of Supplied Energy. Energies, 16(12), 4541. doi: 10.3390/en16124541 (in English). https://doi.org/10.3390/en16124541
dc.relation.referencesen9. Pielecha, J., Skobiej, K. & Kurtyka, K. (2020). Exhaust emissions and energy consumption analysis of conventional, hybrid, and electric vehicles in real driving cycles. Energies, 13(23), 1-21. doi: 10.3390/en13236423 (in English). https://doi.org/10.3390/en13236423
dc.relation.referencesen10. Ministry of health of Ukraine. Resolution #239 "Pro zatverdzhennia Derzhavnykh sanitarnykh pravyl ta norm zakhystu naselennia vid vplyvu elektromahnitnoho vyprominiuvannia". [On the approval of state sanitary rules and standards for the protection of the population from the effects of electromagnetic radiation]. Retrieved from: https://zakon.rada.gov.ua/laws/show/z0488-96#Text (in Ukrainian).
dc.relation.referencesen11. Zhuk, M., Kovalyshyn, V., Royko, Y. & Barvinska, K. (2017). Research on drivers' reaction time in different conditions. Eastern-European Journal of Enterprise Technologies, 2, (3-86), 24-31. doi: 10.15587/1729-4061.2017.98103 (in English). https://doi.org/10.15587/1729-4061.2017.98103
dc.relation.referencesen12. Yefymenko, R.V., Petrashenko, O.P. & Pyna, O.H. (2022). Analiz vplyvu tekhnichnykh zasobiv orhanizatsii dorozhnoho rukhu na bezpeku urazlyvykh uchasnykiv dorozhnoho rukhu [Analysis of the impact of technical means of traffic management on the safety of vulnerable road users]. Zbirnyk naukovykh prats "Dorohy i mosty" [The Collection of scientific papers "Roads and Bridges"], 26, 274-284. doi: 10.36100/dorogimosti2022.26.274 (in Ukrainian). https://doi.org/10.36100/dorogimosti2022.26.274
dc.relation.referencesen13. Fornalchyk, Ye.Yu. (2013). Novyi pidkhid u sprobi znyzhennia tysku avtomobilizatsii na dovkillia [A new approach in an attempt to reduce the pressure of motorization on the environment]. Naukovo-vyrobnychyi zhurnal "Avtoshliakhovyk Ukrainy" [A Scientific and Industrial Journal the Avtoshliakhovyk Ukrayiny], 1(2013), 22-23. (in Ukrainian)
dc.relation.referencesen14. Fornalchyk, Ye.Yu. (2022). Vplyv riznykh sposobiv peresuvannia zhyteliv mista na yikh zdorovia [The influence of different ways of movement of city residents on their health]. In Grail of Science, (pp. 376-377). doi: 10.36074/grail-of-science.27.05.2022.067 (in Ukrainian). https://doi.org/10.36074/grail-of-science.27.05.2022.067
dc.relation.referencesen15. Singh A. (2018). Use of Geographical Information System in Intelligent Transport System. International Journal of Research and Analytical Reviews, 5(4), 882-890. doi: 10.6084/m9.doi.one.IJRAR1BIP149 (in English).
dc.relation.referencesen16. Abramova, L.S. (2020). Teoretychni osnovy formuvannia rozpodilenykh system upravlinnia dorozhnim rukhom u mistakh [Theoretical foundations of the formation of distributed traffic management systems in cities]. Doctor's thesis. Kharkiv: Kharkiv National Automobile and Road University (in Ukrainian).
dc.relation.referencesen17. Mateichyk, V.P., Tsiuman, M.P. & Smeshek M.. (2016). Osoblyvosti monitorynhu i kontroliu pokaznykiv ekolohichnoi bezpeky transportnykh zasobiv i transportnykh potokiv v umovakh intelektualnykh system [Peculiarities of monitoring and control of indicators of environmental safety of vehicles and transport flows in the conditions of intelligent systems]. Naukovo-tekhnichnyi zbirnyk "Visnyk Natsionalnoho transportnoho universytetu" [The National Transport University Bulletin: a Scientific and Technical Journal], 1(34), 255-266. (in Ukrainian).
dc.relation.referencesen18. Patrol police of Ukraine. (2023). Statystyka DTP v Ukraini za 2021 rik [Traffic accident statistics in Ukraine for 2021]. Retrieved from: https://patrolpolice.gov.ua/statystyka/ (in Ukrainian).
dc.relation.referencesen19. Chowdhury, M., Sadek, A., Yongchang, M., Kanhere, N. & Bhavsar, P. (2006). Applications of Artificial Intelligence Paradigms to Decision Support in Real-Time Traffic Management. Transportation Research Record: Journal of the Transportation Research Board, 1986(1), 92-98. doi: 10.1177/0361198106196800111 (in English). https://doi.org/10.1177/0361198106196800111
dc.relation.referencesen20. Šusteková, D., & Knutelská, M. (2015). How is the artificial intelligence used in applications for traffic management. Machines. Technologies. Materials., 9(10), 49-52. (in English).
dc.relation.urihttps://sdgs.un.org/2030agenda
dc.relation.urihttps://zakon.rada.gov.ua/laws/show/456-98-%D0%BF#Text
dc.relation.urihttps://doi.org/10.3390/ijerph192316037
dc.relation.urihttps://doi.org/10.1007/BF03326183
dc.relation.urihttps://doi.org/10.15587/1729-4061.2022.253389
dc.relation.urihttps://doi.org/10.1109/TMAG.2013.2284245
dc.relation.urihttps://doi.org/10.3390/en16124541
dc.relation.urihttps://doi.org/10.3390/en13236423
dc.relation.urihttps://zakon.rada.gov.ua/laws/show/z0488-96#Text
dc.relation.urihttps://doi.org/10.15587/1729-4061.2017.98103
dc.relation.urihttps://doi.org/10.36100/dorogimosti2022.26.274
dc.relation.urihttps://doi.org/10.36074/grail-of-science.27.05.2022.067
dc.relation.urihttps://patrolpolice.gov.ua/statystyka/
dc.relation.urihttps://doi.org/10.1177/0361198106196800111
dc.rights.holder© Національний університет “Львівська політехніка”, 2023
dc.rights.holder© Ye. Fornalchyk, V. Hilevych, 2023
dc.subjectрівень автомобілізації
dc.subjectаварійність
dc.subjectвикиди вуглецю
dc.subjectтранспортний шум
dc.subjectелектромагнітне випромінювання
dc.subjectтранспортний засіб
dc.subjectдорожньо-транспортна пригода
dc.subjectmotorization level
dc.subjectaccidence
dc.subjectcarbon emissions
dc.subjecttraffic noise
dc.subjectelectromagnetic radiation
dc.subjectvehicle
dc.subjecttraffic accident
dc.titleCharacteristics of motorization’s impact on the urban population
dc.title.alternativeХарактеристика впливу автомобілізації на міське населення
dc.typeArticle

Files

Original bundle
Now showing 1 - 2 of 2
No Thumbnail Available
Name:
2023v4n2_Fornalchyk_Y-Characteristics_of_motorizations_68-75.pdf
Size:
424.67 KB
Format:
Adobe Portable Document Format
Download
No Thumbnail Available
Name:
2023v4n2_Fornalchyk_Y-Characteristics_of_motorizations_68-75__COVER.png
Size:
424.78 KB
Format:
Portable Network Graphics
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.76 KB
Format:
Plain Text
Description:
Download

Collections

Transport Technologies. – 2023. – Vol. 4, No. 2