| Abstrak/Abstract |
Mobile Positioning Data (MPD) contains informa-
tion on the location of the mobile phone by approximating
mobile phones’ location relative to fixed infrastructures (e.g.,
telecommunication towers that transmit signals). While the
data query is technically straightforward, obtaining this dataset
requires particular permission to protect customers’ privacy.
Additionally, the dataset has large volumes of data (i.e, up to
300GB per day), resulting in not many researchers holding
this data source to analyze the mobility of people. In this
work, we collaborate with one of the biggest telecommunication
service providers in Indonesia to collect MPD and prepare
the big data infrastructure. We thus analyze mobility patterns
during the early phase of COVID-19 in 2020 using actual
Mobile Positioning Data in five provinces in Java. We use three
metrics, namely, the number of visits, averaged travel distance,
and Origin-Destination matrix. The findings indicate that the
social restriction in the corresponding provinces has reduced the
average traveled distance of the people, but not their number
of visits. That is, while the traveled distance has declined
more than eight times compared to the baseline, the number
of visits may rocket up, up to nine times. It indicates that
people are still having shorter trips even though their regular
activities (working, schooling, etc.) have been restricted. The
data also show that during Ramadhan month, the government
has a successful intervention in restricting people for mudik
Lebaran, The number of visits dropped to below 30 visits during
Ramadhan and only small spikes exist during ’libur lebaran’ |
