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  1. Електронний науковий архів Науково-технічної бібліотеки Національного університету "Львівська політехніка"
  2. Електронний архів Науково-технічної бібліотеки
  3. Вісники та науково-технічні збірники, журнали
  4. Transport Technologies
  5. Transport Technologies. – 2020. – Vol. 1, No. 2

putin IS MURDERER

Please use this identifier to cite or link to this item: https://oldena.lpnu.ua/handle/ntb/55316
Title: Analysis of demand for public transport service in Lviv city
Authors: Gits, Ivanna
Zhuk, Mykola
Pivtorak, Halyna
Affiliation: Lviv Polytechnic National University
Bibliographic description (Ukraine): Gits I. Analysis of demand for public transport service in Lviv city / Ivanna Gits, Mykola Zhuk, Halyna Pivtorak // Transport Technologies. — Lviv : Lviv Politechnic Publishing House, 2020. — Vol 1. — No 2. — P. 57–64.
Bibliographic description (International): Gits I. Analysis of demand for public transport service in Lviv city / Ivanna Gits, Mykola Zhuk, Halyna Pivtorak // Transport Technologies. — Lviv : Lviv Politechnic Publishing House, 2020. — Vol 1. — No 2. — P. 57–64.
Is part of: Transport Technologies, 2 (1), 2020
Issue: 2
Volume: 1
Issue Date: 14-Sep-2020
Publisher: Видавництво Львівської політехніки
Lviv Politechnic Publishing House
Place of the edition/event: Львів
Lviv
Keywords: demand for public transport
the aim of the trip
trip duration
the comfort of the trip
walking approach
Number of pages: 8
Page range: 57-64
Start page: 57
End page: 64
Abstract: The demand for public transport on the example of Lviv city is analyzed in the paper. The aim of the trip, the duration of the trip, vehicle occupancy rate, walking approach to the stop, and the choice of public transport mode are determined as the main impact factors. The questioning of 1100 users of public transport is carried out. During the formation of transport strategy of public transport system functioning in large cities, it is necessary to consider such factors of functioning as optimal, from the view of transport provision, location of places of work and study, trips are up to 45 min; vehicle occupation rate is up to 80% (on the most routes); the walking distance is up to 600 m; vehicles of large capacity. The provision of these indicators in transport systems will provide an opportunity to increase the effectiveness and enlarge the demand for public transport services as a result of qualitative functioning.
URI: https://ena.lpnu.ua/handle/ntb/55316
Copyright owner: © Національний університет “Львівська політехніка”, 2020
© I. Gits, M. Zhuk , H. Pivtorak, 2020
URL for reference material: https://www.lv.ukrstat.gov.ua/ukr/themes/09/theme_09.php?code=9
References (Ukraine): 1. Hryniv N., Podvalna H., (2015) Transport services as an object of analysis and management. Journal of Lviv Polytechnic National University. Series of Economics and Management Issues Volume 2 Number 815 (1). 27–35 (in Ukrainian).
2. Hryhorova T. M., Davidich YU. O., Dolya V. K. (2015). Estimation of elasticity of demand at the service of suburban passenger car transport. Technology audit and production reserves, Volume 3/3(23). 13–16. doi: 10.15587/2312-8372.2015.44769 (in Ukrainian).
3. Owczarzak Ł., Żak J. (2015). Design of Passenger Public Transportation Solutions Based on Autonomous Vehicles and Their Multiple Criteria Comparison with Traditional Forms of Passenger Transportation. Transportation Research Procedia Volume 10, 472–482. doi: 10.1016/j.trpro.2015.09.001 (in English).
4. Krueger R., Rashidi T.,Rose J. M. (2016). Preferences for shared autonomous vehicles Transportation Research Part C: Emerging Technologies, Volume 69. 343–355 (in English).
5. Zherdyev M.D. Myroshnychenko Yu.V. (2010) The influence of transport service quality on demand of consumers of transport services. The bulletin of transport and industry economics Volume 29. 250–253 (in Ukrainian).
6. Liu Ya., Wang S., Xie B. (2019). Evaluating the effects of public transport fare policy change together with built and non-built environment features on ridership: The case in South East Queensland, Australia. Transport Policy, Volume 76, 78–89. doi: 10.1016/j.tranpol.2019.02.004 (in English).
7. Krystopchuk M. Y., & Lobashov O. O. (2012). Suburban passengers transportation. Kharkiv: NTMT (in Ukrainian).
8. Buehler R., Pucher J. (2012). Demand for Public Transport in Germany and the USA: An Analysis of Rider Characteristics. Transport Reviews Volume 32, Issue 5, 541–567. doi: 10.1080/01441647.2012.707695 (in English).
9. Redman L., Friman M., Gärling T., Hartig T. (2013). Attributes of public transport quality that attract car users: A review of the study. Transport Policy Volume 25, 119–127. doi: 10.1016/j.tranpol.2012.11.005 (in English).
10. Zhuk M., Pivtorak H., Kovalyshyn V., Gits I. (2020) Development of a multinomial logit-model to choose a transportation mode for intercity travel. Eastern-European Journal of Enterprise Technologies, Volume 3/3 (105). – 69–77 (in English).
11. Kujala R., Weckström C., Mladenović M., Saramäki J. (2018). Travel times and transfers in public transport: Comprehensive accessibility analysis based on Pareto-optimal journeys. Computers, Environment and Urban Systems Volume 67, 41–54. doi: 10.1016/j.compenvurbsys.2017.08.012 (in English).
12. Tirachini A., .Hensher D. A, Rose J. M. (2013). Crowding in public transport systems: effects on users, operation and implications for the estimation of demand, Transportation Research Part A: Policy and Practice, Volume 53, 36–52. doi: 10.1016/j.tra.2013.06.005 (in English).
13. Ivan I., Horák J., Zajíčková L., Burian J., Fojtík D. (2019). Factors Influencing Walking Distance to the Preferred Public Transport Stop in selected urban centres of Czechia. GeoScape Volume 13: Issue 1, 16–30. doi: 10.2478/geosc-2019-0002 (in English).
14. Tirachini A., Hensher D. A., Rose J. M. (2014). Multimodal prices and optimal design of urban public transport: the interaction between traffic congestion and bus congestion. Transportation Research Part B: Methodological, Volume 61, 33–54. doi: 10.1016/j.trb.2014.01.003 (in English).
15. Yanovs kyy P. O. (2015) The general description of the key factors that determine volumes and structure of passenger traffic. Transport systems and transportation technologies. Volume 10. 117–124 (in Ukrainian).
16. Main Statistical Office in Lviv Region: Retrieved from https://www.lv.ukrstat.gov.ua/ukr/themes/09/theme_09.php?code=9. (in Ukrainian).
References (International): 1. Hryniv N., Podvalna H., (2015) Transport services as an object of analysis and management. Journal of Lviv Polytechnic National University. Series of Economics and Management Issues Volume 2 Number 815 (1). 27–35 (in Ukrainian).
2. Hryhorova T. M., Davidich YU. O., Dolya V. K. (2015). Estimation of elasticity of demand at the service of suburban passenger car transport. Technology audit and production reserves, Volume 3/3(23). 13–16. doi: 10.15587/2312-8372.2015.44769 (in Ukrainian).
3. Owczarzak Ł., Żak J. (2015). Design of Passenger Public Transportation Solutions Based on Autonomous Vehicles and Their Multiple Criteria Comparison with Traditional Forms of Passenger Transportation. Transportation Research Procedia Volume 10, 472–482. doi: 10.1016/j.trpro.2015.09.001 (in English).
4. Krueger R., Rashidi T.,Rose J. M. (2016). Preferences for shared autonomous vehicles Transportation Research Part C: Emerging Technologies, Volume 69. 343–355 (in English).
5. Zherdyev M.D. Myroshnychenko Yu.V. (2010) The influence of transport service quality on demand of consumers of transport services. The bulletin of transport and industry economics Volume 29. 250–253 (in Ukrainian).
6. Liu Ya., Wang S., Xie B. (2019). Evaluating the effects of public transport fare policy change together with built and non-built environment features on ridership: The case in South East Queensland, Australia. Transport Policy, Volume 76, 78–89. doi: 10.1016/j.tranpol.2019.02.004 (in English).
7. Krystopchuk M. Y., & Lobashov O. O. (2012). Suburban passengers transportation. Kharkiv: NTMT (in Ukrainian).
8. Buehler R., Pucher J. (2012). Demand for Public Transport in Germany and the USA: An Analysis of Rider Characteristics. Transport Reviews Volume 32, Issue 5, 541–567. doi: 10.1080/01441647.2012.707695 (in English).
9. Redman L., Friman M., Gärling T., Hartig T. (2013). Attributes of public transport quality that attract car users: A review of the study. Transport Policy Volume 25, 119–127. doi: 10.1016/j.tranpol.2012.11.005 (in English).
10. Zhuk M., Pivtorak H., Kovalyshyn V., Gits I. (2020) Development of a multinomial logit-model to choose a transportation mode for intercity travel. Eastern-European Journal of Enterprise Technologies, Volume 3/3 (105), 69–77 (in English).
11. Kujala R., Weckström C., Mladenović M., Saramäki J. (2018). Travel times and transfers in public transport: Comprehensive accessibility analysis based on Pareto-optimal journeys. Computers, Environment and Urban Systems Volume 67, 41–54. doi: 10.1016/j.compenvurbsys.2017.08.012 (in English).
12. Tirachini A., .Hensher D. A, Rose J. M. (2013). Crowding in public transport systems: effects on users, operation and implications for the estimation of demand, Transportation Research Part A: Policy and Practice, Volume 53, 36–52. doi: 10.1016/j.tra.2013.06.005 (in English).
13. Ivan I., Horák J., Zajíčková L., Burian J., Fojtík D. (2019). Factors Influencing Walking Distance to the Preferred Public Transport Stop in selected urban centres of Czechia. GeoScape Volume 13: Issue 1, 16–30. doi: 10.2478/geosc-2019-0002 (in English).
14. Tirachini A., Hensher D. A., Rose J. M. (2014). Multimodal prices and optimal design of urban public transport: the interaction between traffic congestion and bus congestion. Transportation Research Part B: Methodological, Volume 61, 33–54. doi: 10.1016/j.trb.2014.01.003 (in English).
15. Yanovs kyy P. O. (2015) The general description of the key factors that determine volumes and structure of passenger traffic. Transport systems and transportation technologies. Volume 10. 117–124 (in Ukrainian).
16. Main Statistical Office in Lviv Region: Retrieved from https://www.lv.ukrstat.gov.ua/ukr/themes/09/theme_09.php?code=9. (in Ukrainian).
Content type: Article
Appears in Collections:Transport Technologies. – 2020. – Vol. 1, No. 2

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