small area Tourism Visible

Transcription

1 small area Tourism Visible Using Mobile Positioning Data (MPD) for small area (regency/city and venue level) Rifa Rufiadi and Alfatihah Reno (BPS-Statistics Indonesia)

2 Introduction BPS-Statistics Indonesia never published domestic tourism data at Regency/City level due to expensive and huge work burden, while the data became more important and demanding by policy maker and business. Compared to household survey for domestic tourism, using Mobile Position Data can reduce cost more than 60 %, cover more origins and destinations, get near real time data, get by product data such as commuters and circler travellers. This 2018 year, as pilot we run both ways of collecting domestic tourism data, household survey and Mobile Position Data, while Asian Games event analysis 2018 was done as part of tourism. To cope the limitation of MPD such as no expenditure data, digital survey was conducted using selected sample indicated by Mobile Position Data BPS expects to substitute surveys with timely and more accurate digital data collection in the future

3 Sample Household Survey Distribution sample census block, traveller Listing, chose eligible sample, estimate population face to face interview Using MPD & digital survey Distribution sample All census block (more than ) +/ subscriber All domestic tourism subscribe to MNO, estimate for the non subscriber Ground check

4 Enumerator Household Survey Minimum : x 4 = man survey Recruitment Training Questionnaire & manual Office supplies Quarterly, memory laps Resistant from respondent Remote area problem, difficult to be reached MPD & Digital Survey No need enumerator, reduce burden Monthly (timeliness), even daily data Fact, real data (accuracy)

5 Cost Benefit Household Survey Rp ,-/ Census block Rp ,-/ respondent No learning process MPD & Digital Survey Rp18.750,-/Census Block (1,4%) Rp8.300,-/respondent (1%) Give experiences to BPS s data scientist 1 US $ = Rp

6 The Process Prepare the algorithm and scripts Implemented to 66 volunteers Compare Household survey result with MPD Increase data quality (level of disaggregation and accuracy) Event Analysis of Asian Games (foreign and domestic visitors) at the Venue (GBK and JSC)

7 Algorithm to identify Tourism Trip Generate stay point from raw data Remove usual environment except Home (Work, Second Home (Circular), etc.) Create sequence of trips from stay point with duration > 6 hours Identify each destination visited with duration > 6 hours on each trip Identify the main destination from each trip based on the longest duration of stay Result : - Matrix of main destination with average length of stay - Matrix of all destination with average length of stay 7

8 WORK Validation/Verification First verification is done to determine where the person is staying. All stay points detected as home locations are asked to be corrected. Further verification is carried out to determine the place of daily activities. All stay points detected as work / school locations are asked to be corrected. 8

9 Acuracy of Home Detection of the Volunteers Accuracy of home detection is 85,83% (rank 1) Accuracy of home candidate rank 2 : 58,92 % 3 : 58,02 % 4 : 51,50 % 9

10 PRELIMANRY RESULT: HOME REGENCY POPULATION PROJECTION SUBSCRIBER ONE MNO % TOTAL HOME %

11 One subscriber Tourism Trip Tourism Trip Work Home

12 Event Analysis Asian Games

13 Preliminary Result, Outbound Yogyakarta Province Jan-June 2018 Population Traditional Survey** MPD* ORIGIN Sum % Sum % Sum % Kulon Progo , , ,7 Bantul , , ,2 Gunung Kidul , , ,6 Sleman , , ,3 Yogyakarta , , ,2 TOTAL , , ,0 * January 2018 ** One shot survey on July 2018

14 ORIGIN & DESTINATION DOMESTIC TOURISM, YOGYAKARTA PROVINCE JANUARI 2018 ORIGIN DESTINATION GUNUNG KOTA KULON BANTUL KIDUL YOGYAKARTA PROGO SLEMAN Grand Total KOTA YOGYAKARTA BANTUL SLEMAN GUNUNG KIDUL KULON PROGO KLATEN MAGELANG KOTA SEMARANG PURWOREJO SUKOHARJO KOTA SURAKARTA KEBUMEN BOYOLALI WONOGIRI Other Destination TOTAL

15 DOMESTIC TOURISM, ORIGIN YOGYAKARTA PROVINCE & PROVINCE LEVEL DESTINATION JANUARI 2018,

16 DOMESTIC TOURISM, ORIGIN YOGYAKARTA PROVINCE & REGENCY LEVEL DESTINATION JANUARI 2018,

17 Summary Monthly data of Domestic Tourism up to sub province Level (even District level) can be published monthly Reduce respondent and work burden Number of trips will be more accurate (no recalling problems) Household survey can only published up to provincial level (sampling issue) and annually. Number of trips possible under (recalling problems), the survey asked number of trips during six months Immigration data can not capture up to venue level (experience from Asian Games)