TheCroatiantourist!       vAn enigma or    not?
Project proposal
Create an innovative platform thatwill help understand and provide amore complete picture of tourist visitsin Croatia by c...
How?
Universe of informationThe world is connected. Technology iseverywhere and all the time. Every single secondbillions of ph...
Wi-Fi                                    +vPeople are constantly posting to social networks and the web, using Wi-Fi signa...
This creates a universe of acessible  data that can be analyzed and            understoodThe universe           The internet
Identify attractive regionsHotspots    How does one region/city compare to another?    What are the patterns among touri...
Understand visitor flow and touristdynamics                                     Areas of concentration   Points of interes...
Canada           Texas                   BrasilUnderstand where they’re from andwhere they might be going next
Methods                              Analysis &                   Interpretation Data collection                          ...
Process – Florence example
General benefits1. Identify where do tourists come from and where do they go next?   Where are the foreigners, where are t...
Particular benefits1. Urban planners and local authorities   – pattern of inflow and outflow of people from the city evacu...
Particular benefits1. Government and cultural institutions   – rescheduling of monuments opening times   – tailoring marke...
Digital                      Traditional                        analysis                 Analaysis (surveys)              ...
www.interfaceqlinic.comgasper@interfaceqlinic.com
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Croatian-Tourism

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Understanding the visitors of Croatia

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Croatian-Tourism

  1. 1. TheCroatiantourist! vAn enigma or not?
  2. 2. Project proposal
  3. 3. Create an innovative platform thatwill help understand and provide amore complete picture of tourist visitsin Croatia by collecting, analysing andcreating meaning from the digitaltraces they leave behind.
  4. 4. How?
  5. 5. Universe of informationThe world is connected. Technology iseverywhere and all the time. Every single secondbillions of photos, videos, text and other contentis uploaded on the internet. This is a hugeamount of information.
  6. 6. Wi-Fi +vPeople are constantly posting to social networks and the web, using Wi-Fi signal, paying with mobile phones for different services (publictransport, parking, etc), phone usage, sms, credit cards(restaurants, atm’s, etc).
  7. 7. This creates a universe of acessible data that can be analyzed and understoodThe universe The internet
  8. 8. Identify attractive regionsHotspots  How does one region/city compare to another?  What are the patterns among tourists of different nationalities  Which regions are underdeveloped, which overdeveloped?
  9. 9. Understand visitor flow and touristdynamics Areas of concentration Points of interest Popular routesWhere do tourists come from and where do they go next? Where are theforeigners, where are the locals? What do they like or dislike? Where isculture art? Where are the spendings (credit cards)?
  10. 10. Canada Texas BrasilUnderstand where they’re from andwhere they might be going next
  11. 11. Methods Analysis & Interpretation Data collection Visualization• Georeferenced • Spatio temporal • Creating meaning photos, social network analysis, geographica from the activity, Wifi usage, GSM l analysis, identifying usage, Taxi distribution, seasonal opportunities, comple network, Public ities, correlations, etc menting other transport, etc. research etc.
  12. 12. Process – Florence example
  13. 13. General benefits1. Identify where do tourists come from and where do they go next? Where are the foreigners, where are the locals? Where are the parties? Where is culture/art? Where are the spendings (credit cards)?2. Define significant areas of attention and points of interest across different sociodemographics (i.e. how important is Pulska Arena to Germans on a Monday afternoon?)3. Understand different aspects of mobility and travel such as visitor flow (entering and leaving), identifying popular routes, infering travel purposes etc.4. Quantify the movements between certain attractions and cluster tourist routes in a city5. Detecting the distinct patterns of mobility among groups of tourists of different nationalities.
  14. 14. Particular benefits1. Urban planners and local authorities – pattern of inflow and outflow of people from the city evacuation support, emergency management crowd management – public transport management: What is the current demand for public transportation? – mobility analysis and forecasting: Where is traffic piling up? How many people are there in a given area2. Businesses – customizing and tailoring services (or advertising) to different target audience - for example if you know who populates different parts of the city at different times – reallocation of existing service infrastructures What are hottest spot in town right now? – marketing and city advertisement: How many people will look at that billboard?
  15. 15. Particular benefits1. Government and cultural institutions – rescheduling of monuments opening times – tailoring marketing communicaton (flyers, city-lights, etc) – Adapt existing strategies to better suite the actual situation2. Tourism researchers – complement existing research and fill in the missing information in better understanding and interpreting tourism results – provide open access to others in order to research (i.e. hotels, camps, restaurants etc)
  16. 16. Digital Traditional analysis Analaysis (surveys) Data is dynamic, and Data is static and provides updated by the visitor only a one-time snapshot automatically Lower costs: Higher costs:Comparisson New information does not New information requires require new surveys, and new surveys, and a lot of little human resources human resources Captures information such Does not capture as visiting time, frequencyof information such as visitis, density, etc time, frequency, density etc. Information is objective and Information is subjective reflects the real situation. (sometimes people answer how they think they are expected to)
  17. 17. www.interfaceqlinic.comgasper@interfaceqlinic.com

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