Kesehatan Mental dan Perubahan Aktivitas-Perjalanan Saat Pandemi COVID-19 di Indonesia
Sari
ABSTRAK
Pandemi COVID-19 telah secara signifikan mempengaruhi bagaimana kita menjalani kehidupan sehari-hari kita. Studi ini bertujuan untuk menginvestigasi dampak perubahan kesehatan mental kepada perubahan aktivitas dan perjalanan saat pandemi di Indonesia. Convenient sampling digunakan untuk menentukan jumlah sampel dan pengumpulan data dilakukan secara online pada masa pandemi dengan kuesioner. Adapun metode regresi linear berganda digunakan untuk menganalisis data. Hasil analisis menujukkan bahwa telah terjadinya perubahan aktivitas dan perjalanan akibat dari pandemi COVID-19. Tipe kesehatan mental seperti depresi dan bosan sangat berkaitan dengan penurunan pola perjalanan, sedangkan kelelahan berkaitan dengan berkurangnya kegiatan berbasis online. Studi ini juga menemukan bahwa masyarakat berpendapatan tinggi cenderung memiliki akses lebih baik terhadap platform online dan melakukan kegiatan online lebih banyak. Kelompok tersebut juga cenderung mengurangi perjalanan keluar tempat tinggal. Studi ini merekomendasikan pembenahan kualitas internet dan pembangunan fasilitas aktif (taman) dekat tempat tinggal untuk mengendalikan pandemi bersamaan dengan menjaga penurunan kesehatan mental.
Kata kunci: COVID-19, Aktivitas, Perjalanan, Regresi linear berganda
Â
ABSTRACT
The COVID-19 pandemic has significantly affected how we do our daily lives. This study aims to investigate the effect of emotional well-being to the changes in activity and travel during COVID-19 pandemic in Indonesia. Convenient sampling is used for dermine sampling size and online data collection was carried out during a pandemic using a questionnaire. Moreover, the multiple linear regression model is used for data analysis. It is found that there has been a change in activity and travel as a result of the COVID-19 pandemic. The results of the analysis show that several issues related to mental health, such as depression and boredom, are strongly associated with the decrease of out-of-home activities, while fatigue is associated with a lower ICT activities. This study also found that high-income people, which have higher accessibility to ICT, tend to do more online activities and also reduce their out-of-home activities during pandemic. This study proposeimproving the quality of the internet and building active facilities (parks) near residential location to manage the pandemic while maintaining a decline in mental health.
Keywords: COVID-19, Activity, Travel, Multiple linear regression
Kata Kunci
Teks Lengkap:
PDFReferensi
S. Null and H. Smith, “COVID-19 Could Affect Cities for Years. Here Are 4 Ways They’re Coping Now,†Mar. 26, 2020. https://wri-indonesia.org/en/blog/how-cities-coping-with-covid-19 (accessed Jun. 06, 2020).
C. Musselwhite, E. Avineri, and Y. Susilo, “Editorial JTH 16 –The Coronavirus Disease COVID-19 and implications for transport and health,†J. Transp. Health, vol. 16, p. 100853, Mar. 2020, doi: 10.1016/j.jth.2020.100853.
Moovit, “Moovit Public Transit Index,†May 2020. https://moovitapp.com/insights/en/Moovit_Insights_Public_Transit_Index-countries (accessed Jun. 10, 2020).
UITP, “Bus operations in India: what has been the impact of COVID-19?,†UITP, May 27, 2020. https://www.uitp.org/news/bus-operations-india-what-has-been-impact-covid-19 (accessed Jun. 10, 2020).
CNN Indonesia, “Corona Bikin Transjakarta, KRL, MRT, dan LRT Sepi Penumpang,†ekonomi, Apr. 20, 2020. https://www.cnnindonesia.com/ekonomi/20200420111334-92-495176/corona-bikin-transjakarta-krl-mrt-dan-lrt-sepi-penumpang (accessed Jun. 10, 2020).
J. Clement, “COVID-19 impact retail e-commerce site traffic 2020,†Statista, Jun. 03, 2020. https://www.statista.com/statistics/1112595/covid-19-impact-retail-e-commerce-site-traffic-global/ (accessed Jun. 10, 2020).
A. Kunst, “Online shopping due to the COVID-19 pandemic 2020,†Statista, Jun. 02, 2020. https://www.statista.com/statistics/1107859/shifting-to-online-purchases-because-of-the-covid-19-pandemic-by-category/ (accessed Jun. 10, 2020).
Y. Pusparisa, “E-Commerce Tumbuh di Tengah Pandemi Covid-19,†May 20, 2020. https://katadata.co.id/infografik/2020/05/20/e-commerce-tumbuh-di-tengah-pandemi-covid-19 (accessed Jun. 10, 2020).
J. De Vos, “The effect of COVID-19 and subsequent social distancing on travel behavior,†Transp. Res. Interdiscip. Perspect., vol. 5, p. 100121, May 2020, doi: 10.1016/j.trip.2020.100121.
S. K. Brooks et al., “The psychological impact of quarantine and how to reduce it: rapid review of the evidence,†The Lancet, vol. 395, no. 10227, pp. 912–920, Mar. 2020, doi: 10.1016/S0140-6736(20)30460-8.
J. McKimm, “Life in lockdown: how the COVID-19 pandemic complicates existing mental health conditions,†May 08, 2020. https://rcni.com/nursing-standard/features/life-lockdown-how-covid-19-pandemic-complicates-existing-mental-health-conditions-160426 (accessed Jun. 07, 2020).
D. Campbell, “UK lockdown causing ‘serious mental illness in first-time patients,’†the Guardian, May 15, 2020. http://www.theguardian.com/society/2020/may/16/uk-lockdown-causing-serious-mental-illness-in-first-time-patients (accessed Jun. 07, 2020).
S. M. Kissler, C. Tedijanto, E. Goldstein, Y. H. Grad, and M. Lipsitch, “Projecting the transmission dynamics of SARS-CoV-2 through the postpandemic period,†Science, vol. 368, no. 6493, pp. 860–868, May 2020, doi: 10.1126/science.abb5793.
M. Roberts, F. Gil Sander, and S. Tiwari, “Augment, Connect, Target: Realizing Indonesia’s Urban Potential,†World Bank, Text/HTML, 2019. Accessed: Mar. 31, 2020. [Online]. Available: https://www.worldbank.org/en/country/indonesia/publication/augment-connect-target-realizing-indonesias-urban-potential.
R. Djalante et al., “Review and analysis of current responses to COVID-19 in Indonesia: Period of January to March 2020,†Prog. Disaster Sci., vol. 6, p. 100091, Apr. 2020, doi: 10.1016/j.pdisas.2020.100091.
K. W. Axhausen, “Activity Spaces, Biographies, Social Networks and their Welfare Gains and Externalities: Some Hypotheses and Empirical Results,†Mobilities, vol. 2, no. 1, pp. 15–36, Mar. 2007, doi: 10.1080/17450100601106203.
M. Kroesen, S. Handy, and C. Chorus, “Do attitudes cause behavior or vice versa? An alternative conceptualization of the attitude-behavior relationship in travel behavior modeling,†Transp. Res. Part Policy Pract., vol. 101, pp. 190–202, Jul. 2017, doi: 10.1016/j.tra.2017.05.013.
D. Ettema, T. Gärling, L. E. Olsson, and M. Friman, “Out-of-home activities, daily travel, and subjective well-being,†Transp. Res. Part Policy Pract., vol. 44, no. 9, pp. 723–732, Nov. 2010, doi: 10.1016/j.tra.2010.07.005.
P. L. Mokhtarian, “If telecommunication is such a good substitute for travel, why does congestion continue to get worse?:,†Transp. Lett., vol. Vol 1, no. No 1, pp. 1–17, 2009.
J. F. Hair, W. C. Black, B. J. Babin, and R. E. Anderson, Multivariate Data Analysis. Harlow, Essex: Pearson, 2010.
M. Z. Irawan, M. Rizki, T. B. Joewono, and P. F. Belgiawan, “Exploring the intention of out-of-home activities participation during new normal conditions in Indonesian cities,†Transp. Res. Interdiscip. Perspect., vol. 8, p. 100237, Nov. 2020, doi: 10.1016/j.trip.2020.100237.
M. Rizki, T. B. Joewono, P. F. Belgiawan, and M. Z. Irawan, “The travel behaviour of ride-sourcing users, and their perception of the usefulness of ride-sourcing based on the users’ previous modes of transport: A case study in Bandung City, Indonesia,†IATSS Res., Dec. 2020, doi: 10.1016/j.iatssr.2020.11.005.
DOI: https://doi.org/10.26760/jrh.v5i2.125-135
Refbacks
- Saat ini tidak ada refbacks.
Alamat redaksi dan tata usaha:
Lembaga Penelitian dan Pengabdian Masyarakat Institut Teknologi Nasional
Fakultas, gedung 14 Lantai 3
Jl. PHH. Mustapa 23 Bandung 40124
Tlp. 022-7272215 Pes. 159, Fax. 022-7202892,
e-mail: hrekayasa@itenas.ac.id
Terindeks:
Jurnal ini terlisensi oleh Creative Commons Attribution-ShareAlike 4.0 International License.