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The
Croatian
tourist!       v

An enigma or
    not?
Project proposal
Create an innovative platform that
will help understand and provide a
more complete picture of tourist visits
in Croatia by collecting, analysing and
creating meaning from the digital
traces they leave behind.
How?
Universe of information
The world is connected. Technology is
everywhere and all the time. Every single second
billions of photos, videos, text and other content
is uploaded on the internet. This is a huge
amount of information.
Wi-Fi

                                    +v



People are constantly posting to social networks and the web, using Wi-
Fi signal, paying with mobile phones for different services (public
transport, parking, etc), phone usage, sms, credit cards
(restaurants, atm’s, etc).
This creates a universe of acessible
  data that can be analyzed and
            understood



The universe           The internet
Identify attractive regions




Hotspots



    How does one region/city compare to another?
    What are the patterns among tourists of different nationalities
    Which regions are underdeveloped, which overdeveloped?
Understand visitor flow and tourist
dynamics
                                     Areas of concentration

   Points of interest


          Popular routes




Where do tourists come from and where do they go next? Where are the
foreigners, where are the locals? What do they like or dislike? Where is
culture art? Where are the spendings (credit cards)?
Canada




           Texas

                   Brasil


Understand where they’re from and
where they might be going next
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.
Process – Florence example
General benefits
1. 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 city
5. Detecting the distinct patterns of mobility among groups of
   tourists of different nationalities.
Particular benefits
1. 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 area
2. 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?
Particular benefits
1. Government and cultural institutions
   – rescheduling of monuments opening times
   – tailoring marketing communicaton (flyers, city-lights, etc)
   – Adapt existing strategies to better suite the actual situation
2. 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)
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)
www.interfaceqlinic.com
gasper@interfaceqlinic.com

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Croatian-Tourism

  • 1. The Croatian tourist! v An enigma or not?
  • 3. Create an innovative platform that will help understand and provide a more complete picture of tourist visits in Croatia by collecting, analysing and creating meaning from the digital traces they leave behind.
  • 5. Universe of information The world is connected. Technology is everywhere and all the time. Every single second billions of photos, videos, text and other content is uploaded on the internet. This is a huge amount of information.
  • 6. Wi-Fi +v People are constantly posting to social networks and the web, using Wi- Fi signal, paying with mobile phones for different services (public transport, parking, etc), phone usage, sms, credit cards (restaurants, atm’s, etc).
  • 7. This creates a universe of acessible data that can be analyzed and understood The universe The internet
  • 8. Identify attractive regions Hotspots  How does one region/city compare to another?  What are the patterns among tourists of different nationalities  Which regions are underdeveloped, which overdeveloped?
  • 9. Understand visitor flow and tourist dynamics Areas of concentration Points of interest Popular routes Where do tourists come from and where do they go next? Where are the foreigners, where are the locals? What do they like or dislike? Where is culture art? Where are the spendings (credit cards)?
  • 10. Canada Texas Brasil Understand where they’re from and where they might be going next
  • 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.
  • 13. General benefits 1. 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 city 5. Detecting the distinct patterns of mobility among groups of tourists of different nationalities.
  • 14. Particular benefits 1. 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 area 2. 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. Particular benefits 1. Government and cultural institutions – rescheduling of monuments opening times – tailoring marketing communicaton (flyers, city-lights, etc) – Adapt existing strategies to better suite the actual situation 2. 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. 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)

Editor's Notes

  1. In the past, these types of mobility and activity data were hard to collect and grasp. It is donethrough surveys and observations.Nowadays, in our every day activities we leave behind footprints from our interaction with theurban environment and its digital infrastructures (e.g. taking and sharing digital photos,communicating through wireless networks, withdrawing money, using an RFID card to rent a bike,accessing Google maps or now Google My Location).
  2. The aggregation of these data allows me to reveal themain points of interests of the city and how tourists visit it (e.g. where do they come from, where dothey go, how long do they stay). Compare week-ends with weekdays.
  3. The base of our work consist finding new means to understand the dynamics of the city. I meanscollecting new types of data and visualizing them to reveal how people use the city, what is itsactivity, how different neighborhoods live along the course of a day, week or year.