EXPLORING THE DATA - ESCAP...Alfatihah Reno MNSPM Amanda Pratama Putra Ignatius Aditya Setyadi Amin...
Transcript of EXPLORING THE DATA - ESCAP...Alfatihah Reno MNSPM Amanda Pratama Putra Ignatius Aditya Setyadi Amin...
EXPLORING THE DATA
Alfatihah Reno Maulani - Statistics Indonesia
STATISTICS INDONESIA
IT DIVISION
Alfatihah Reno MNSPM
Amanda PratamaPutra
Ignatius Aditya Setyadi
Amin Rois SinungNugroho
Wa Ode ZuhayeniMadjida
SUBJECT MATTER
Hamim TsalisSoblia Agus Ruslani
Panca DwiPrabawa
Dini Arifatin
MOBILITY STATISTICS
TOURISMSTATISTICS
WHY BIG DATA
1.916 million km²; 264 million people; 16000 BPS’s staffs; >200 surveys per year
INDONESIAN LOCAL ADMINISTRATIVE UNIT (LAU)
1.916.862,20 km²
INDONESIAN LOCAL ADMINISTRATIVE UNIT (LAU 1)
34 Provinces16.056 islands
INDONESIAN LOCAL ADMINISTRATIVE UNIT (LAU 2)
514 Kabupatens7.230 Kecamatans83.438 Kelurahans
WHY TELKOMSEL
• ±140 million customers with identified home locations• Staypoint data• ±1,4 Terabyte/year• ± 60 billion rows of data
MOBILE PHONE DATA SAMPLE
x_1
• Hashed MSISDN
Datetime
• Transaction timestamp
Source
• Type of data stored (CDR, signalling)
Lat & Long
• The BTS Coordinates
LAU MATCHING
DATA CLEANING
Using latitude longitude data, we can measure distances of origin and
destination
Using date and time, we can measure duration of the movements.
1. Fast Movers2. Overlapping stays 3. Resetting stays at
midnight4. Faulty stay locations
PATTERN OF MOBILITY
Using local administrative units (LAU), we can know the movements between regions.
• Travel refers to the activity of someone who moves between different geographic locations for any purpose and any duration.
• Group of travel to various places produce a trip.
• A trip is defined as the travel by a person from the time of departure from his usual environment until he returns.
(United Nations, 2010)
ORIGIN DESTINATION MODEL
HOME AND OFFICE DETERMINATION
Select the maximum duration from subscriber’s work
candidates as “OFFICE LOCATION”
S T A R T
09.00 – 16.59Weekday only
Sum the duration of subscriber’s work candidates
(6 months data)
E N D
Select the maximum duration from subscriber’s home
candidates as “HOME LOCATION”
S T A R T
17.00 – 08.59 Weekday + Weekend
Sum the duration of subscriber’s home candidates
(6 months data)
E N D
HOME DETERMINATION EXAMPLE
Home: 17.00 – 08.59 weekday + weekend
Work: 09.00 – 16.59 weekday only
Select the maximum duration from subscriber’s home
candidates as “HOME LOCATION”
S T A R T
17.00 – 08.59 Weekday + Weekend
Sum the duration of subscriber’s home candidates
(6 months data)
E N D
COMMUTER AND CIRCULAR
Commuter Circular (monthly)
Circular (weekly)
RESULT
TRIP DETERMINATION
TRIP DETERMINATIONFOR TOURISM
TOURISM
TOURISM
TOURISM
When using MPD, you also have to recognize common habits in using the mobile phone that applies in your country, so you can get the best parameters to design the algorithm to be used.
Thank you