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Identifikasi Frekuensi Perjalanan Orang Sebelum dan Selama Pandemi Covid-19 di DKI Jakarta

*Fidiyati Fidiyati  -  Departemen Perencanaan Wilayah dan Kota, Universitas Esa Unggul, Indonesia
Dayu Ariesta Kirana Sari  -  Departemen Perencanaan Wilayah dan Kota, Universitas Esa Unggul, Indonesia

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Abstract
Sebagai respon terhadap pandemi COVID-19, pemerintah DKI Jakarta memberlakukan sebuah pembatasan sosial. Sebelum adanya pandemi perjalanan orang di DKI Jakarta sangat masif. Namun, semenjak adanya pembatasan sosial telah merubah perjalanan orang di perkotaan. Tujuan penelitian ini adalah untuk mengidentifikasi frekuensi dan jarak perjalanan orang sebelum dan selama pandemi COVID-19 di DKI Jakarta. Metode yang digunakan adalah deskriptif kuantitatif yang didapatkan dari hasil survei kuesioner dan studi literatur. Sedangkan teknik analisis yang digunakan adalah metode distribusi frekuensi dan uji wilcoxon signed rank test untuk mengetahui ada atau tidaknya perubahan frekuensi dan jarak perjalanan orang. Hasil penelitian menunjukkan bahwa selama pandemi penurunan frekuensi perjalanan orang paling banyak terjadi pada tujuan ke tempat retail (61%), taman (71%), dan stasiun transit (47%). Kemudian, kisaran jarak tempuh perjalanan orang selama pandemi khususnya perjalanan ke tempat retail, toko kelontong dan farmasi mayoritas didominasi pada jarak 0-5 km, sedangkan ke tempat kerja 6-20 km.
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Keywords: Frekuensi Perjalanan, Jarak Perjalanan, Pandemi COVID-19

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  1. Abdullah, M., Dias, C., Muley, D., & Shahin, M. (2020). Exploring the impacts of COVID-19 on travel behavior and mode preferences. Transportation Research Interdisciplinary Perspectives, 8(November), 100255. https://doi.org/10.1016/j.trip.2020.100255
  2. Beck, M. J., Hensher, D. A., & Wei, E. (2020). Slowly coming out of COVID-19 restrictions in Australia: Implications for working from home and commuting trips by car and public transport. Journal of Transport Geography, 88(August), 102846. https://doi.org/10.1016/j.jtrangeo.2020.102846
  3. BPS Provinsi DKI Jakarta. (2020). Provinsi DKI Jakarta Dalam Angka Tahun 2020. Provinsi DKI Jakarta Dalam Angka 2020
  4. 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
  5. 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
  6. 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
  7. Flamm, M., & Kaufmann, V. (2006). Operationalising the concept of motility: A qualitative study. Mobilities, 1(2), 167–189. https://doi.org/10.1080/17450100600726563
  8. Foo, L.-P., Chin, M.-Y., Tan, K.-L., & Phuah, K.-T. (2020). The impact of COVID-19 on tourism industry in Malaysia. https://doi.org/10.1080/13683500.2020.1777951
  9. Grue, B., Veisten, K., & Engebretsen, Ø. (2020). Exploring the relationship between the built environment, trip chain complexity, and auto mode choice, applying a large national data set. Transportation Research Interdisciplinary Perspectives, 5. https://doi.org/10.1016/j.trip.2020.100134
  10. Hadjidemetriou, G. M., Sasidharan, M., Kouyialis, G., & Parlikad, A. K. (2020). The impact of government measures and human mobility trend on COVID-19 related deaths in the UK. Transportation Research Interdisciplinary Perspectives, 6(March), 100167. https://doi.org/10.1016/j.trip.2020.100167
  11. Irawan, M. Z., Belgiawan, P. F., Joewono, T. B., Bastarianto, F. F., Rizki, M., & Ilahi, A. (2021). Exploring activity-travel behavior changes during the beginning of COVID-19 pandemic in Indonesia. Transportation, 0123456789. https://doi.org/10.1007/s11116-021-10185-5
  12. Kitamura, R. (2009). Life-style and travel demand. Transportation, 36(6), 679–710. https://doi.org/10.1007/s11116-009-9244-6
  13. March, I. (2021). Indonesia March 5, 2021 Mobility changes
  14. Masso, A., Silm, S., & Ahas, R. (2019). Generational differences in spatial mobility: A study with mobile phone data. Population, Space and Place, 25(2), 1–15. https://doi.org/10.1002/psp.2210
  15. Molloy, J., Tchervenkov, C., Hintermann, B., & Axhausen, K. W. (2020). Tracing the Sars-CoV-2 Impact: The First Month in Switzerland. Findings, 1–8. https://doi.org/10.32866/001c.12903
  16. Parady, G., Taniguchi, A., & Takami, K. (2020). Travel behavior changes during the COVID-19 pandemic in Japan: Analyzing the effects of risk perception and social influence on going-out self-restriction. Transportation Research Interdisciplinary Perspectives, 7, 100181. https://doi.org/10.1016/j.trip.2020.100181
  17. Rice, W. L., & Pan, B. (2021). Understanding changes in park visitation during the COVID-19 pandemic: A spatial application of big data. Wellbeing, Space and Society, 2(May), 100037. https://doi.org/10.1016/j.wss.2021.100037
  18. Samuelsson, K., Barthel, S., Colding, J., Macassa, G., & Giusti, M. (2020). Urban nature as a source of resilience during social distancing amidst the coronavirus pandemic. https://doi.org/10.31219/osf.io/3wx5a
  19. Shamshiripour, A., Rahimi, E., Shabanpour, R., & Mohammadian, A. (Kouros). (2020). How is COVID-19 reshaping activity-travel behavior? Evidence from a comprehensive survey in Chicago. Transportation Research Interdisciplinary Perspectives, 7, 100216. https://doi.org/10.1016/j.trip.2020.100216
  20. Srinivasan, S., & Rogers, P. (2005). Travel behavior of low-income residents: Studying two contrasting locations in the city of Chennai, India. Journal of Transport Geography, 13(3), 265–274. https://doi.org/10.1016/j.jtrangeo.2004.07.008
  21. Teixeira, J. F., & Lopes, M. (2020). The link between bike sharing and subway use during the COVID-19 pandemic: The case-study of New York’s Citi Bike. Transportation Research Interdisciplinary Perspectives, 6, 100166. https://doi.org/10.1016/j.trip.2020.100166
  22. Umbu Saki, K. R., Manullang, O. R., & Rahdriawan, M. (2013). Perilaku Perjalanan Rumah Tangga Pengguna Sepeda Motor Yang Tinggal Di Kawasan Pusat Kota (Studi Kasus: Kecamatan Semarang Tengah). Teknik PWK (Perencanaan Wilayah Kota), 2(3), 587–596

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