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Open data

Why are we on the market?

The reason why Outcrowd is on the market is that from day one we are trying to create a different way of understanding the world of travel.

To do this, we have set ourselves the primary goal of providing anyone with the right information to help them choose the next destination to visit.

We like to say that we would like to visit the world without negatively impacting it, in any form.

Yesterday was overtourism. Today is social distancing. Tomorrow it will be something new that we will prepare for today.

Two are better than one

Tourism produces 10% of world GDP according to UNWTO estimates. We realize that we cannot be alone in this challenge. To date, no other travel company has an eye on destination management, which takes into account certain factors such as those of tourist flows.

All platforms are organized with respect to the massive sale of accomodations and transport tickets. They have as their sole objective the final conversion of the user. To do this, messages that play on different negative emotions on the user are used.

Like the shortage, the scarcity of rooms left on the platform, which should make you want to buy a room as soon as possible.

Or that of social proof, according to which a destination that is present among the most searched on the website by other users, is necessarily better than the others (I have to go there too!).

Data management, in all this, is never transparent.

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From today our indicator is yours too

This is why we decided to publish our Outcrowd indicator on the monthly Italian tourist flows.

We think it is more important that other companies adopt this solution, rather than keeping it just for us.

We also do this because we strongly believe in the world of open data as enabling a faster innovative and technological process.

Reason why we only used public data such as ISTAT data, which are accessible by anyone.

Data driven

We have therefore created a platform with a kind and transparent soul that does not work on negative emotions and is based on public data and that can guide us in our choices.

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We feed on data every day. The same data that pushed us to create all this, even this page.

Methodology - The Outcrowd indicator

We understood right away that there is no indicator on monthly tourist flows per Italian municipality, although several databases are available to evaluate tourist flows. So we created it.

We followed three steps to develop the indicator.

1.

We started with the collection of data on tourist flows for each municipality in Italy, thanks to the use of ISTAT data, public and accessible by anyone.

The ISTAT website in fact provides data on tourist flows for each municipality of Italy.

2.

We have defined 4 metrics to assess the impact of tourist flows on a destination:

To have an indicator it was essential at this point to be able to combine these metrics.

3.

We have divided each metric into clusters based on the distribution of the values ​​assumed by the metric over all Italian municipalities, to obtain a number from 0 to 5.

We then added the value of each metric, divided by 4 and applied the distribution again.

The result is the Outcrowd indicator.

Example of Florence

Let's take an example on Florence in March (based on real data on the flow of Italian tourists):

Intensity of tourism = 78,443 tourists. Based on the value of the intensity of tourism in all municipalities, 78,443 corresponds to cluster 5. Florence is one of the Italian destinations with the highest tourist intensity.

Tourism density = 78,443 tourists / 102 km2. The corresponding cluster is again 5. Florence usually has a high concentration of tourists per km2.

Impact of tourism on the population = 78,443 tourists / 366,039 residents. The corresponding cluster is 3. The impact of tourism on the population is slightly higher than the Italian average in March.

Impact of tourism on accommodation capacity = 196,096 nights spent / 49,130 ​​beds. The corresponding cluster is 2.5. Florence has a high number of beds and in this period the accommodation facilities are not full.

5 + 5 + 3 + 2.5 = 15.5

15.5 / 4 metrics = 3.3875. This value corresponds to cluster 4.5.

The Florence indicator in March is thus 4.5 out of a maximum of 5.

It means that Florence, in the month of March, is one of the destinations in Italy with the greatest influx of Italian tourists.

Seasonality vs Annuality

To take into account the seasonality of individual tourist destinations, the indicator is calculated on a monthly basis.

The annual indicator is obtained simply from the average of the indicators calculated on a single month, divided by the 12 months that make up a calendar year.

Coronavirus update

Our indicator is designed to work on aggregate flows, or taken individually, both Italian and foreign. However, foreseeing a lower flow of foreign tourists this year, the indicator currently only takes into consideration domestic tourist flows.

However, this gave us the opportunity to discover that several tourist destinations, which were very much visited by foreign tourists, will have a lower tourist pressure than that experienced in previous years.

It's a great time to visit them all!

Discover them in our section Explore.