m . f . p r i s t a n t y o
–
1 5 0 6 6 7 1 7 9 6
–
A D 4
P 2 -
2 0 2 0
The Cases start in Depok area, West Java.
Soon after that, the spread of infection start to occur at neighboring states such as East and South Jakarta. And South Jakarta become the most infected state until now.
Two women that known to be in contact with Japanese had positively tested to be infected The area was so close to Ciracas, East Jakarta that the Jakarta government count it as it’s province 1st case.
100 80 60 40 20 0
Case in South Jakarta
Case in East Jakarta 100 50 0
Jumlah Kasus Pertambahan Kasus
CORONA, POPULATION & MOBILITY COVID-19 sudden outbreaks in Jakarta might be heavily influence by major movement or mobility of it’s citizen and other neighboring states that circulate each day
60 – 69 are minor composition in Jakarta Worker and major composition in Jakarta Annual Death Rate
Commuter Destination
180000 160000 140000 120000 100000 80000 60000 40000 20000 0
These finding might be related to Commuters data of Depok, which mainly consist of people commuting to South Jakarta & East Jakarta
30 – 39 age group are major composition in Jakarta Worker and in Jakarta Population
Synthesized Data
Age & Spread 21 Maret 2020 19 Maret 2020 17 Maret 2020 15 Maret 2020 13 Maret 2020 10 Maret 2020 8 Maret 2020 2 Maret 2020 0-9
0% 10-19
20% 20-29 30-39
40% 40-49
60% 50-59 60-69
80% 70-74
100% 75++
The relation become stronger as we see the aggregated age data of worker in comparison to the early infected case in Jakarta. They shown that people at the age of 30-39 are the majority of worker and the people who are mostly infected in the early days of the pandemic.
Comparison between two Age Group Case / Day
15 30-39
50-59
10 5
21-Mar
20-Mar
19-Mar
18-Mar
17-Mar
16-Mar
15-Mar
14-Mar
13-Mar
12-Mar
11-Mar
10-Mar
9-Mar
8-Mar
7-Mar
6-Mar
5-Mar
4-Mar
3-Mar
0
2-Mar
Individual Data
20
The sudden jump in 50-59 age group case, might be related to the weak condition that happened in relation to their age. This hypothesis emerge by seeing the data of annual total death of population in Jakarta
Infeksi Corona Berdasarkan Gender Komuter Berdasarkan Gender
60 40
Kab. Bekasi
30
150000 100000 50000
20
Kota Tangerang Selatan
0
10
Kota Tangerang
0
Kab. Tangerang
Most of the case, people commute for work and half of them have the chance not to but prefer to still keep commuting because the workplace is comfortable and the work match with their interest.
200000
50 Kota Bekasi
Keperluan
0-9 10-1920-2930-3940-4950-5960-6970-74 75++
Depok
Laki Laki
Bekerja Sekolah Kursus
Laki-laki
Perempuan
Alasan Berkomuter
Perempuan
Kota Bogor Kab. Bogor Jakarta Utara
The different amount of infected people between men and women might be related to how much men are more likely be a commuter
Jakarta Barat Jakarta Pusat
Traffic Time During Weekday AVG
60000 50000 40000 30000 20000 10000 0
Fri Wed Mon
Jakarta Timur Jakarta Selatan 0
50000
100000
150000
Wanita
200000
250000
300000
0%-20% 60%-80%
350000
Total commuters heading to South JKT: 682.275 Total commuters from South JKT: 231.383 Net Population Increase South JKT: 450.892 Net Activities : 913.658
20000-40000 40000-60000
Average Road Activity During Weekday
80000-100000 100000-120000 120000-140000 140000-160000
The top destination of Commuters is South Jakarta making it most active state at day
160000 140000 120000 100000 80000
60000-80000
60000 40000 20000 0
40%-60%
Laki laki
Commuter Based on Origin to Destination
0-20000
20%-40% 80%-100%
Kota Bekasi Kab. Bekasi Kota Tangerang Selatan Kota Tangerang Kab. Tangerang Depok 395 093 Kota Bogor 80 Kab. Bogor 408 Jakarta Utara Jakarta Barat Jakarta Pusat Jakarta Timur Jakarta Selatan
journey
map
Jakarta Commuter Utilizing user’s generated content via Quora
Describing an everyday of being Jakarta commuter, to understand user behavior from work to home that might be useful for developing an intervention for an outbreak. All the activities are based on quora’s user answer toward specific question that correlate with an after work activities
Jl. R.A. Kartini Jl. T.B. Simatupang
Friday have more dense and longer road activity in comparison with other weekday, this might be caused by the surge of after work activity
Cilandak Town Square Cilandak Town Square Prasetya Mulya Uni.
Prasetya Mulya Uni.
Vista
Bus Station
MRT & Bus
Choice of Transportation & Transit Figuring out the path used by commuters to find the sweet spot for intervention
Online Bike
Air Port Shuttle
MRT & Online Motor
MRT & Bus
Point of Interest What commuters do in these urban nodes?
ATM Center
Socialize Gas Station
Street Vendors
Urinate Covenience Store & Restroom
Shuttle Bus
Bus Station
40 70