Dergiler / Journal of Innovative Transportation / 2023 / Cilt: 4 Sayı: 1

Exploring the traveler group-based ridership fluctuations before, during and after the COVID-19 pandemic: A case study of rail transit system in Izmir, Türkiye

Sayfa
1–8
Yayın Tarihi
2023-07-15
DOI
—
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Student ridership increased with the opening of schools after pandemic, while travel behaviour of elderly groups after COVID-19 was almost same compared to pandemic duration.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:The COVID-19 pandemic has interrupted life around the world.
📊
Temel Bulgular & Veri:In this article, rail transit systems ridership data were utilized to examine the impact of the COVID-19 pandemic on the travel behaviour of adults, students and elderly people for the city of Izmir, Türkiye.
💡
Sonuç & Katkı:Student ridership increased with the opening of schools after pandemic, while travel behaviour of elderly groups after COVID-19 was almost same compared to pandemic duration.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:COVID-19 · ridership · public transportation

Abstract

The COVID-19 pandemic has interrupted life around the world. Situations such as the transition of schools to remote education, remote working, and people's fear of becoming infected have had a strong impact on public transport ridership. In this article, rail transit systems ridership data were utilized to examine the impact of the COVID-19 pandemic on the travel behaviour of adults, students and elderly people for the city of Izmir, Türkiye. The rail transit system included one mass rapid transit (MRT) and two light rapid transit (LRT) lines. Due to operational differences of rail transit systems, the analyses were carried out for the ridership of each mode separately. Within the scope of the study, user-based descriptive statistics were determined, and ridership changes were investigated before, during and after the pandemic. The statistical significance in ridership fluctuations were evaluated via one-way analysis of variance (ANOVA) test. The results showed that the pandemic had a negative impact on ridership on all lines and all groups of travelers. Student ridership increased with the opening of schools after pandemic, while travel behaviour of elderly groups after COVID-19 was almost same compared to pandemic duration.

🔖

Bu Makaleye Atıf Yap

GUZEL, D., ALTINTAŞI, O. (2023). Exploring the traveler group-based ridership fluctuations before, during and after the COVID-19 pandemic: A case study of rail transit system in Izmir, Türkiye. Journal of Innovative Transportation, Cilt: 4 Sayı: 1, 1–8. https://ajindex.com/articles/951849

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (10)

  1. Aloi, A., Alonso, B., Benavente, J., Cordera, R., Echániz, E., González, F., Ladisa, C., Lezama-Romanelli, R., López-Parra, Á., Mazzei, V., Perrucci, L., Prieto-Quintana, D., Rodríguez, A., & Sañudo, R. (2020). Effects of the COVID-19 Lockdown on Urban Mobility: Empirical Evidence from the City of Santander (Spain). Sustainability, 12(9), 3870. https://doi.org/10.3390/su12093870
  2. Bucsky, P. (2020). Modal share changes due to COVID-19: The case of Budapest. Transportation Research Interdisciplinary Perspectives, 8, 100141. https://doi.org/10.1016/j.trip.2020.100141
  3. De Vos, J. (2020). The effect of COVID-19 and subsequent social distancing on travel behavior. Transportation research interdisciplinary perspectives, 5, 100121. https://doi.org/10.1016/j.trip.2020.100121
  4. Dong, H., Ma, S., Jia, N., & Tian, J. (2021). Understanding public transport satisfaction in post COVID-19 pandemic. Transport Policy, 101, 81-88. https://doi.org/10.1016/j.tranpol.2020.12.004
  5. 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
  6. Cho, S. H., & Park, H. C. (2021). Exploring the behaviour change of crowding impedance on public transit due to COVID-19 pandemic: before and after comparison. Transportation Letters, 13(5-6), 367-374. https://doi.org/10.1080/19427867.2021.1897937
  7. Aparicio, J. T., Arsenio, E., & Henriques, R. (2021). Understanding the impacts of the COVID-19 pandemic on public transportation travel patterns in the City of Lisbon. Sustainability, 13(15), 8342. https://doi.org/10.3390/su13158342
  8. Tiikkaja, H., & Viri, R. (2021). The effects of COVID-19 epidemic on public transport ridership and frequencies. A case study from Tampere, Finland. Transportation Research Interdisciplinary Perspectives, 10, 100348. https://doi.org/10.1016/j.trip.2021.100348
  9. Rasca, S., Markvica, K., & Ivanschitz, B. P. (2021). Impacts of COVID-19 and pandemic control measures on public transport ridership in European urban areas–The cases of Vienna, Innsbruck, Oslo, and Agder. Transportation Research Interdisciplinary Perspectives, 10, 100376. https://doi.org/10.1016/j.trip.2021.100376
  10. Tuydes-Yaman, H., Kaya, B., Karagumus, E., Dalkic-Melek, G., & Cottrill, C. D. (2023). The impact of Covid-19 pandemic on public transit use: Case study of Konya city. Transportation Research Procedia, 69, 480-487. https://doi.org/10.1016/j.trpro.2023.02.1