IDEAS home Printed from https://ideas.repec.org/a/ksa/szemle/1814.html
   My bibliography  Save this article

Infrastruktúra-bővítés világversenyek idején. A Mol Bubi esete a FINA világbajnoksággal
[Infrastructural investments for international sports events. Network expansion of the MOL Bubi bicycle-sharing system for the FINA World Aquatics Championship]

Author

Listed:
  • Bakó, Barna
  • Isztin, Péter
  • Berezvai, Zombor
  • Cseke, Petra Zsuzsanna

Abstract

Tanulmányunkban a Mol Bubi kerékpármegosztó rendszer 17. FINA vizes világbajnokságra átadott új gyűjtőállomásainak esemény utáni kihasználtságát vizsgáljuk és vetjük össze a hálózathoz korábban csatolt új gyűjtőállomások kihasználtsági adataival. Két módszertani megközelítést, az eseményvizsgálatot, illetve a különbségek különbsége módszeren alapuló hatásbecslést alkalmazva megmutatjuk, hogy az új gyűjtőállomások kihasználtsága miben különbözik a korábbi bővítések során átadott, hasonló jellemzőjű gyűjtőállomások kihasználtságától. Megállapítható, hogy az újonnan átadott gyűjtőállomások a hálózat szerves részévé váltak, azonban kihasználtságuk lényegesen kisebb, mint a hálózatban korábban átadott gyűjtőállomásoké. A különbség még inkább szembetűnő - nagyságrendileg 30 százalékos -, ha a hálózat déli gyűjtőállomásaihoz viszonyítunk. Ez az alacsony kihasználtság azonban nem specifikusan a FINA-gyűjtőállomásokra, hanem általában az északi gyűjtőállomásokra vonatkozik. Eredményeink azt sugallják, hogy a kerékpármegosztó rendszer bővítése indokoltabb lett volna a hálózat más pontjain.* Journal of Economic Literature (JEL) kód: C22, H54, R42.

Suggested Citation

  • Bakó, Barna & Isztin, Péter & Berezvai, Zombor & Cseke, Petra Zsuzsanna, 2019. "Infrastruktúra-bővítés világversenyek idején. A Mol Bubi esete a FINA világbajnoksággal [Infrastructural investments for international sports events. Network expansion of the MOL Bubi bicycle-shari," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(1), pages 4-21.
    • Handle: RePEc:ksa:szemle:1814
    DOI: 10.18414/KSZ.2019.1.4
    as

    Download full text from publisher

    File URL: http://www.kszemle.hu/tartalom/letoltes.php?id=1814
    Download Restriction: Registration and subscription. 3-month embargo period to non-subscribers.
    File URL: https://libkey.io/10.18414/KSZ.2019.1.4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Horn, Dániel & Gurzó, Klára, 2015. "A korai iskolai szelekció hosszú távú hatása. Egy közpolitikai kísérlet tanulságai [The long-term effects of early educational selection. A quasi-natural policy experiment from Hungary]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(10), pages 1070-1096.
    2. Dodd, Peter & Warner, Jerold B., 1983. "On corporate governance : A study of proxy contests," Journal of Financial Economics, Elsevier, vol. 11(1-4), pages 401-438, April.
    3. Kiesel, F. & Ries, J. M. & Tielmann, A., 2017. "The impact of mergers and acquisitions on shareholders' wealth in the logistics service industry," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 89225, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    4. Frade, Ines & Ribeiro, Anabela, 2015. "Bike-sharing stations: A maximal covering location approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 82(C), pages 216-227.
    5. Jacobson, Louis S & LaLonde, Robert J & Sullivan, Daniel G, 1993. "Earnings Losses of Displaced Workers," American Economic Review, American Economic Association, vol. 83(4), pages 685-709, September.
    6. Kenneth A. Couch & Dana W. Placzek, 2010. "Earnings Losses of Displaced Workers Revisited," American Economic Review, American Economic Association, vol. 100(1), pages 572-589, March.
    7. Robert A. Baade & Victor A. Matheson, 2016. "Going for the Gold: The Economics of the Olympics," Journal of Economic Perspectives, American Economic Association, vol. 30(2), pages 201-218, Spring.
    8. Amit M. Joshi & Dominique M. Hanssens, 2009. "Movie Advertising and the Stock Market Valuation of Studios: A Case of “Great Expectations?”," Marketing Science, INFORMS, vol. 28(2), pages 239-250, 03-04.
    9. Louis S. Jacobson & Robert J. LaLonde & Daniel G. Sullivan, 1993. "Long-term earnings losses of high-seniority displaced workers," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 17(Nov), pages 2-20.
    10. Goodman, Anna & Cheshire, James, 2014. "Inequalities in the London bicycle sharing system revisited: impacts of extending the scheme to poorer areas but then doubling prices," Journal of Transport Geography, Elsevier, vol. 41(C), pages 272-279.
    11. Kiesel, Florian & Ries, Jörg M. & Tielmann, Artur, 2017. "The impact of mergers and acquisitions on shareholders' wealth in the logistics service industry," International Journal of Production Economics, Elsevier, vol. 193(C), pages 781-797.
    12. Nicole Hanson & Wonjoo Yun, 2018. "Should “big food” companies introduce healthier options? The effect of new product announcements on shareholder value," Marketing Letters, Springer, vol. 29(1), pages 1-12, March.
    13. Kiesel, Florian & Ries, Jörg M. & Tielmann, Artur, 2017. "Reprint of “The impact of mergers and acquisitions on shareholders' wealth in the logistics service industry”," International Journal of Production Economics, Elsevier, vol. 194(C), pages 261-277.
    14. A. Colin Cameron & Pravin K. Trivedi, 1986. "Econometric models based on count data. Comparisons and applications of some estimators and tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 1(1), pages 29-53, January.
    15. Kyle Gebhart & Robert Noland, 2014. "The impact of weather conditions on bikeshare trips in Washington, DC," Transportation, Springer, vol. 41(6), pages 1205-1225, November.
    16. Robert Baumann & Victor Matheson, 2013. "Infrastructure Investments and Mega-Sports Events: Comparing the Experience of Developing and Industrialized Countries," Working Papers 1302, International Association of Sports Economists;North American Association of Sports Economists.
    17. Faghih-Imani, Ahmadreza & Eluru, Naveen, 2016. "Determining the role of bicycle sharing system infrastructure installation decision on usage: Case study of montreal BIXI system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 685-698.
    18. Fishman, Elliot & Washington, Simon & Haworth, Narelle & Watson, Angela, 2015. "Factors influencing bike share membership: An analysis of Melbourne and Brisbane," Transportation Research Part A: Policy and Practice, Elsevier, vol. 71(C), pages 17-30.
    19. Li, ShiNa & Blake, Adam & Thomas, Rhodri, 2013. "Modelling the economic impact of sports events: The case of the Beijing Olympics," Economic Modelling, Elsevier, vol. 30(C), pages 235-244.
    20. Elek, Péter & Lőrincz, László, 2015. "Az effektív társasági adókulcs rugalmassága Magyarországon a 2009-2011 közötti adókulcscsökkentés alapján [The elasticity of the effective corporate tax rate in Hungary: evidence from the tax cut b," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(1), pages 27-47.
    21. Elliot Fishman, 2016. "Bikeshare: A Review of Recent Literature," Transport Reviews, Taylor & Francis Journals, vol. 36(1), pages 92-113, January.
    22. Campbell, Kayleigh B. & Brakewood, Candace, 2017. "Sharing riders: How bikesharing impacts bus ridership in New York City," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 264-282.
    23. Mateo-Babiano, Iderlina & Bean, Richard & Corcoran, Jonathan & Pojani, Dorina, 2016. "How does our natural and built environment affect the use of bicycle sharing?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 295-307.
    24. Noland, Robert B. & Smart, Michael J. & Guo, Ziye, 2016. "Bikeshare trip generation in New York City," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 164-181.
    25. Wafic El-Assi & Mohamed Salah Mahmoud & Khandker Nurul Habib, 2017. "Effects of built environment and weather on bike sharing demand: a station level analysis of commercial bike sharing in Toronto," Transportation, Springer, vol. 44(3), pages 589-613, May.
    26. Caulfield, Brian & O'Mahony, Margaret & Brazil, William & Weldon, Peter, 2017. "Examining usage patterns of a bike-sharing scheme in a medium sized city," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 152-161.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bakó, Barna & Berezvai, Zombor & Isztin, Péter & Vigh, Enikő Zita, 2020. "Does Uber affect bicycle-sharing usage? Evidence from a natural experiment in Budapest," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 290-302.
    2. Mix, Richard & Hurtubia, Ricardo & Raveau, Sebastián, 2022. "Optimal location of bike-sharing stations: A built environment and accessibility approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 126-142.
    3. Wang, Jueyu & Lindsey, Greg, 2019. "Do new bike share stations increase member use: A quasi-experimental study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 1-11.
    4. Elżbieta Macioszek & Paulina Świerk & Agata Kurek, 2020. "The Bike-Sharing System as an Element of Enhancing Sustainable Mobility—A Case Study based on a City in Poland," Sustainability, MDPI, vol. 12(8), pages 1-29, April.
    5. Kumar Dey, Bibhas & Anowar, Sabreena & Eluru, Naveen, 2021. "A framework for estimating bikeshare origin destination flows using a multiple discrete continuous system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 119-133.
    6. Böcker, Lars & Anderson, Ellinor & Uteng, Tanu Priya & Throndsen, Torstein, 2020. "Bike sharing use in conjunction to public transport: Exploring spatiotemporal, age and gender dimensions in Oslo, Norway," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 389-401.
    7. Kim, Minjun & Cho, Gi-Hyoug, 2021. "Analysis on bike-share ridership for origin-destination pairs: Effects of public transit route characteristics and land-use patterns," Journal of Transport Geography, Elsevier, vol. 93(C).
    8. Morton, Craig & Kelley, Scott & Monsuur, Fredrik & Hui, Tianwen, 2021. "A spatial analysis of demand patterns on a bicycle sharing scheme: Evidence from London," Journal of Transport Geography, Elsevier, vol. 94(C).
    9. Wang, Kailai & Chen, Yu-Jen, 2020. "Joint analysis of the impacts of built environment on bikeshare station capacity and trip attractions," Journal of Transport Geography, Elsevier, vol. 82(C).
    10. Mehzabin Tuli, Farzana & Mitra, Suman & Crews, Mariah B., 2021. "Factors influencing the usage of shared E-scooters in Chicago," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 164-185.
    11. De Zhao & Ghim Ping Ong & Wei Wang & Wei Zhou, 2021. "Estimating Public Bicycle Trip Characteristics with Consideration of Built Environment Data," Sustainability, MDPI, vol. 13(2), pages 1-13, January.
    12. Wang, Kailai & Akar, Gulsah, 2019. "Gender gap generators for bike share ridership: Evidence from Citi Bike system in New York City," Journal of Transport Geography, Elsevier, vol. 76(C), pages 1-9.
    13. Biehl, Alec & Ermagun, Alireza & Stathopoulos, Amanda, 2019. "Utilizing multi-stage behavior change theory to model the process of bike share adoption," Transport Policy, Elsevier, vol. 77(C), pages 30-45.
    14. Suzanne Maas & Paraskevas Nikolaou & Maria Attard & Loukas Dimitriou, 2021. "Heat, Hills and the High Season: A Model-Based Comparative Analysis of Spatio-Temporal Factors Affecting Shared Bicycle Use in Three Southern European Islands," Sustainability, MDPI, vol. 13(6), pages 1-21, March.
    15. Rodrigo Mora & Pablo Moran, 2020. "Public Bike Sharing Programs Under the Prism of Urban Planning Officials: The Case of Santiago de Chile," Sustainability, MDPI, vol. 12(14), pages 1-20, July.
    16. Wang, Haoyun & Noland, Robert B., 2021. "Bikeshare and subway ridership changes during the COVID-19 pandemic in New York City," Transport Policy, Elsevier, vol. 106(C), pages 262-270.
    17. Jain, Taru & Wang, Xinyi & Rose, Geoffrey & Johnson, Marilyn, 2018. "Does the role of a bicycle share system in a city change over time? A longitudinal analysis of casual users and long-term subscribers," Journal of Transport Geography, Elsevier, vol. 71(C), pages 45-57.
    18. Médard de Chardon, Cyrille & Caruso, Geoffrey & Thomas, Isabelle, 2017. "Bicycle sharing system ‘success’ determinants," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 202-214.
    19. Radzimski, Adam & Dzięcielski, Michał, 2021. "Exploring the relationship between bike-sharing and public transport in Poznań, Poland," Transportation Research Part A: Policy and Practice, Elsevier, vol. 145(C), pages 189-202.
    20. Pengfei Lin & Jiancheng Weng & Quan Liang & Dimitrios Alivanistos & Siyong Ma, 2020. "Impact of Weather Conditions and Built Environment on Public Bikesharing Trips in Beijing," Networks and Spatial Economics, Springer, vol. 20(1), pages 1-17, March.

    More about this item

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • H54 - Public Economics - - National Government Expenditures and Related Policies - - - Infrastructures
    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ksa:szemle:1814. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Odon Sok (email available below). General contact details of provider: http://www.kszemle.hu .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.