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Impact of COVID-19 on bus rapid transit system usage in Lagos State, Nigeria: A comparative analysis

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Języki publikacji
EN
Abstrakty
EN
Purpose: This study aims to analyse the patronage levels of the Bus Rapid Transit (BRT) system in Lagos State, Nigeria, before, during, and after the COVID-19 pandemic. Methodology: Primary data were collected through an online survey distributed via Google Forms, gathering socio-economic and travel information from respondents. Regression analysis was used to identify factors influencing trip frequency on the BRT system during each phase of the pandemic. Results: The findings revealed significant changes in transport costs and trip frequencies across the three periods. Before the pandemic, 55.64% of respondents spent between N501 and N1000 weekly on transport, while 56.41% spent N1501 and more weekly after the pandemic. The factors influencing trip frequency were seat availability, travel stability, driver attitude, ease of boarding and alighting, safety, travel time, and reliability. Theoretical Contribution: This research contributes to understanding the nuanced effects of COVID-19 on public transportation, particularly within the context of BRT systems in Lagos State. Practical Implications: The study suggests that strategic attention should be given to the lessons learned from COVID-19 to develop appropriate strategies for future unforeseen circumstances.
Twórcy
  • Department of Urban and Regional Planning, Faculty of Engineering and Built Environment, University of Johannesburg, South Africa
Bibliografia
  • Adebambo, S., & Adebayo, I. T. (2009). Impact of bus rapid transit system (BRT) on passengers’ satisfaction in Lagos Metropolis, Nigeria. International Journal of Creativity and Technical Development, 1(3), 106-119.
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  • Amiegbebhor, D., & Boluwatife, P. (2018). The Lagos bus rapid transit: Review of users’ perception. American Journal of Humanities and Social Sciences Research (AJHSSR), 2(11), 88-108.
  • Anable, J., & Marsden, G. (2022). UK Transport and Travel Adaptation Study (TRANSAS). Presentation at the ITF Roundtable “Shaping Post-Covid Mobility in Cities”, 8 June 2022, https://youtu.be/eR5XxTyFRes.
  • Atubi, A. O. (2006). Road Traffic Accident Patterns in Lagos State from 1970 to 2001. Unpublished Ph. D. Thesis, University of Nigeria, Nsukka, Department of Geography.
  • Barajas, J. M. (2021). The roots of racialised travel behavior. Advances in Transport Policy and Planning, 8, 1-31. https://doi.org/10.1016/BS.ATPP.2021.06.007.
  • Barbieri, D. M., Lou, B., Passavanti, M., Hui, C., Hoff, I., Lessa, D. A., ... & Rashidi, T. H. (2021). Impact of COVID-19 pandemic on mobility in ten countries and associated perceived risk for all transport modes. PloS one, 16(2), e0245886. https://doi.org/10.1371/journal.pone.0245886
  • Buehler, R., & Pucher, J. (2022). Cycling through the COVID-19 pandemic to a more sustainable transport future: Evidence from case studies of 14 large bicycle-friendly cities in Europe and North America. Sustainability, 14(12), 7293. https://doi.org/10.3390/su14127293.
  • Dai, J., Liu, Z., & Li, R. (2021). Improving the subway attraction for the post-COVID-19 era: The role of fare-free public transport policy. Transport Policy, 103, 21-30. https://doi.org/10.1016/j.tranpol.2021.01.007
  • De Haas, M., Faber, R., & Hamersma, M. (2020). How COVID-19 and the Dutch ‘intelligent lockdown’change activities, work and travel behaviour: Evidence from longitudinal data in the Netherlands. Transportation research interdisciplinary perspectives, 6, 100150. https://doi.org/10.1016/J.TRIP.2020.100150.
  • Eisenmann, C., Nobis, C., Kolarova, V., Lenz, B., & Winkler, C. (2021). Transport mode use during the COVID-19 lockdown period in Germany: The car became more important, public transport lost ground. Transport policy, 103, 60-67. https://doi.org/10.1016/j.tranpol.2021.01.012
  • Fernando, M., & Alfageme, M. S. (2023). Shaping post-Covid mobility in cities: summary and conclusions.
  • Heinen, E., & Chatterjee, K. (2015). The same mode again? An exploration of mode choice variability in Great Britain using the National Travel Survey. Transportation Research Part A: Policy and Practice, 78, 266-282. https://doi.org/10.1016/J.TRA.2015.05.015.
  • Kumar, A., Zimmerman, S., & Agarwal, O. P. (2012). International experience in Bus rapid transit implementation: Synthesis of lessons Learned from Lagos, Johannesburg, Jakarta, Delhi, and Ahmedabad.
  • Lee, J., Baig, F., & Pervez, A. (2021). Impacts of COVID-19 on individuals’ mobility behavior in Pakistan based on self-reported responses. Journal of Transport & Health, 22, 101228. https://doi.org/10.1016/j.jth.2021.101228.
  • Lindemann, S. (2021). What is the average survey response rate. https://pointerpro.com/blog/average-survey-response-rate/
  • Martinez-Zarzoso, I., & Nowak-Lehmann, F. D. (2007). Is distance a good proxy for transport costs? The case of competing transport modes. The Journal of International Trade & Economic Development, 16(3), 411-434. https://doi.org/10.1080/09638190701527186
  • Mobereola, D. (2009). Lagos bus rapid transit: Africa’s first BRT scheme. Sub-Saharan Africa Transport Policy Program Urban Transport Series: Discussion Paper, (9).
  • Mogaji, E. (2020). Impact of COVID-19 on transportation in Lagos, Nigeria. Transportation research interdisciplinary perspectives, 6, 100154. https://doi.org/10.1016/j.trip.2020.100154
  • Olufemi, A. H., Kareem, A. O., & Nicholas, O. C. (2023). A Study of Customer Service, Ambient condition and Customer Patron-age in the Public Transport Sector in La-gos State, Nigeria. International Journal of Social Science and Human Research, 6(05), 3047-3054. https://doi.org/10.47191/ijsshr/v6-i5-69.
  • Porter, G., Murphy, E., Adamu, F., Dayil, P. B., De Lannoy, A., Han, S., ... & Van der Weidje, K. (2021). Women’s mobility and transport in the peripheries of three African cities: Reflecting on early impacts of COVID-19. Transport policy, 110, 181-190. https://doi.org/10.1016/j.tranpol.2021.05.025
  • Schneider, R. J. (2013). Theory of routine mode choice decisions: An operational framework to increase sustainable transportation. Transport Policy, 25, 128-137. https://doi.org/10.1016/J.TRANPOL.2012.10.007.
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b641a5f0-02ea-4e92-98c1-65dfc09775fc
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