Correlation Between Mobility and COVID-19 Cases in Surabaya City, Indonesia

Authors

  • Gholiqul Amrodh Alawy Universitas Brawijaya
  • Achmad Wicaksono
  • Agus Suharyanto

DOI:

https://doi.org/10.21776/ub.civense.2021.00402.5

Keywords:

Activity, Correlation, COVID-19, Mobility, Transportation

Abstract

The number of COVID-19 cases in Surabaya was one of the highest in Indonesia at the beginning of the pandemic. This study aims to determine the mobility and activity patterns of the people of Surabaya during the COVID-19 pandemic and find a correlation between people mobility and the number of COVID-19 cases in Surabaya City using Pearson's Coefficient of Correlation (PCC). The data used are mobility data at Gubeng Station, Purabaya Terminal, Waru Utama toll gate, and COVID-19 Community Mobility Reports. The mobility pattern of the people of Surabaya City in 2020 is divided into 5 phases, namely the normal condition phase (F0), the pandemic's initial phase (F1), the PSBB phase (F2), the transition of AKB phase (F3), and the AKB phase (F4). This study indicates that the number of people in transit stations and residential areas has a high correlation with the number of COVID-19 cases. In addition, the type of mobility that has the most effect on increasing the number of COVID-19 cases is the mobility of bus transportation.

References

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, 2020, DOI: 10.1016/j.pdisas.2020.100091.

Gugus Tugas Percepatan Penanganan COVID-19, “Laporan Kasus Harian Satgas Penanganan COVID-19,” 2021. [Online]. Available: https://covid19.go.id/peta-sebaran.

S. M. Iacus, C. Santamaria, F. Sermi, S. Spyratos, D. Tarchi, and M. Vespe, “Human mobility and COVID-19 initial dynamics,” Nonlinear Dyn., vol. 101, no. 3, pp. 1901–1919, 2020, DOI: 10.1007/s11071-020-05854-6.

M. U. G. Kraemer et al., “The effect of human mobility and control measures on the COVID-19 epidemic in China,” Science (80-. )., vol. 368, no. 6490, pp. 493–497, 2020, DOI: 10.1126/science.abb4218.

A. Tirachini and O. Cats, “COVID-19 and public transportation: Current assessment, prospects, and research needs,” J. Public Transp., vol. 22, no. 1, pp. 1–34, 2020, DOI: 10.5038/2375-0901.22.1.1.

Google, “Google COVID-19 Community Mobility Reports,” 2021. https://www.google.com/covid19/mobility/.

S. Santoso, Menguasai Statistik dengan SPSS 25. Jakarta: PT. Elex Media Komputindo, 2018.

Dinas Perhubungan Kota Surabaya, “Data Arus Bus dan Penumpang AKAP AKDP Unit Terminal Purabaya Tahun 2020,” 2020.

PT. Kereta Api Indonesia DAOP VIII Surabaya, “Volume Penumpang Surabaya Gubeng Tahun 2020,” 2020.

PT. Jasa Marga Cabang Surabaya Gempol, “Data Lalu Lintas Tol Surabaya Gempol Tahun 2020,” 2020.

Downloads

Published

2021-07-01

How to Cite

[1]
G. A. Alawy, A. Wicaksono, and A. Suharyanto, “Correlation Between Mobility and COVID-19 Cases in Surabaya City, Indonesia”, CIVENSE, vol. 4, no. 2, pp. 154–162, Jul. 2021.

Issue

Section

Articles