WE CAN TRANSFORM EXISTING CHALLENGES IN DUBROVNIK INTO ADVANTAGES BY MEANS OF SMART IT SOLUTIONS. Ljubo NIKOLIC City of Dubrovnik

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1 WE CAN TRANSFORM EXISTING CHALLENGES IN DUBROVNIK INTO ADVANTAGES BY MEANS OF SMART IT SOLUTIONS Ljubo NIKOLIC City of Dubrovnik

2 AGENDA Background IT Project portfolio addressing the mobility issues Smart planning with mobile location data - Pilot project Results overview Future steps 2

3 Tourist pressure on historic center Stationary guests beds in hotels and private accomodation > 1 mil tourists >3,4 mil overnights >13% growth Cruise ships almost 1 milion cruise ship passengers arriving in Dubrovnik every year 5 megaships unload visitors per day One day visitors 3

4 Security issues 4

5 Supply of the historic center 5

6 Things have gone beyond the limits. Not only the life within the historic center is endangered, but the tourism as main industry is in danger". The Mayor of Dubrovnik, August

7 UNESCO issues Restrictions and guidelines defined by the report of UNESCO reactive mission from november 2014 Limitations in number of visitors in historic center Redefinition of OUV and buffer zone 7

8 IT projects addressing mobility issues Smart parking Tourist bus parking management system People counter Dubrovnikcard BigData analytics 8

9 Smart parking Solution developed by local startup Implementation requires minimum construction works Robust architecture enables easy replication and scaling up 9

10 People counter Initiated by UNESCO monitoring mission 5 surveillance cameras in the historic center Number of people entering or leaving the city Application layer cumulates results from cameras and presents the result 10

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12 Presentation of city card offer Notifications based on location Important info streamed to app 12

13 Fort Lovrijenac Expected waiting time 10 min Fort Sv Ivan Entrance to City walls Expected waiting time 20 min 13

14 Smart planning with mobile location data Pilot project rolled up by Dubrovnik Development Agency Utilize mobile network data in understanding tourist needs Demonstrate odds in using mobile network user geolocation 14

15 Today, there are as many mobile subscriptions as people in the World 15

16 Where is the data (Croatian #1 Telecom provider) Mobile users generate > 1.5million events per day 50 % of events have geolocation > 1.2 million foreigners served at peak >13 million foreigners per year 16

17 Who can analyze and interpret the data? Developed a tourism intelligence solution based on mobile location data especially for Destination Marketing Organisations (DMOs) and National Statistical Institutes (NSI) Inbound and outbound travel counts, incl length of stay in destination Inbound and domestic destination visit analysis, incl visits and stays at local government level or POI accuracy Event analytics, incl number and origin of event visitors Tourism statistics product: First methods for understanding seasonality in tourism developed in 2007 with University of Tartu First project in 2008 to Estonian Tourism Board (Destination visits in Estonia for the Regional Tourism Management Plan) More than 100 projects completed for various clients Current customers 5 (Sultanate of Oman, IBGE Brazil, Bank of Estonia, Estonian Tourism Board, all local Tourism Boards in Estonia) 17

18 Which other places does she visit? Where is the data (Croatian Where does #1 he Telecom provider) come from? Where is she going? How long is she staying? First time visitor or repeating? Where do they stay? 18

19 Which other places does she visit? Where is the data (Croatian Where does #1 he Telecom provider) How long is she staying? 4 x faster at 200 x sample size 2.5 x cost efficient come from? Efficiency compared to standard survey sampling First time visitor or repeating? Where is she going? 12 x countries breakdown 100% less burden on tourists Where do they stay? 19

20 From geolocation to reporting system 20

21 Data set Period All transactions anonymized Continous hash level Location accuracy based on GSM cells (no exact location available) 21

22 Goals Report on data quality with improvement guidelines Aggregated database on 15min intervals with distinction on local/international users Specific reports Dream list - What could be done with this data set when scaling up 22

23 Data set 50,000 unique roamers From more than 70 countries 110,000 unique Croatian SIMs 23,000 Dubrovnik locals 134 million location points Events per second Daily average for Croatian SIM cards Daily average for roamers 34 23

24 Filtered data set DUBROVNIK UNIQUE SUBSCRIBER COUNT Inbound Domestic ,12 23,12 24,12 25,12 26,12 27,12 28,12 29,12 30,12 31,12 1,01 2,01 3,01 4,01 5,01 6,01 7,01 8,01 9,01 10,01 NO OF SUBSCRIBERS PRESENT 24

25 But what are we looking for? 25

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29 TOURIST OVERNIGHT STAYS Domestic Foreign 29

30 LENGTH OF STAY IN OLD TOWN - FOREIGNERS No of times foreigners have stayed in the Old Town for 15-16h at a time during the entire period

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32 Big data analytics - Future steps Systematically map out the cell towers in Old Town Apply statistical methods to improve accuracy Pilot project scale up Correlation with other data sets Other apps using mobile network data source 32

33 Can we move physical queues to virtual space? 33

34 Online Queue Management System Plan Browse available time slots Use history data and MNDS Reserve Receive SMS, , Dubrovnik Card Visit Validate ticket 34

35 Supported scenarios museums and top attractions tickets bus arrival to Pile gate supply chain in the historic center 35

36 Isolated projects triggred as firefighting measures Assesment of present situation and baseline detection Local IT reource empowered by best in industry solutions and experts Dubrovnik challenges should become advantages 36

37 Thank you Ljubo Nikolić City of Dubrovnik E: M: S: ljubo.nikolic.laus.cc 37