Symbiogenesis : An Architectural Intervention Based on Pandemy

m . f . p r i s t a n t y o

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1 5 0 6 6 7 1 7 9 6

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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