Cities, regions and travel-related businesses such as hotels or travel agencies are constantly looking for a way to differentiate from their competitors in order to attract new tourists, within an industry where the price factor is many times key for consumers to decide for a destination, a hotel or a travel package.
In addition to this, regions usually depend too much on certain destinations, lacking of diversification and therefore experiencing concentration of tourists in a few cities or even on a single one. That is the case of Catalonia, where Barcelona represents more than 50% of all the tourist pernoctations in Catalonia. Moreover, most of the tourists that visit some other places in Catalonia, usually visit Barcelona as well.
Therefore, we find that tourism institutions need to put into value new destinations, in order to spread the profits and the impact of tourism all around their territory. Similarly, tourism businesses need to increase their competitiveness, by launching new products to diversify their portfolio and attract new customers.
In this context, data 2.0 appears as a new way to better understand tourist preferences. In our new project, Flickr stands out as an indicator that can show us what places within a region tourists like to visit the most, depending on the season or their nationality for example. Through this analysis, any business can offer new and demand-adapted travel packages to their customers. Additionally, institutions can access to data about tourists travelling around their regions, something they usually lack, because many times these visits are simple getaways of one day, wihout hotel pernoctations. Again, data 2.0 happens to be an effective way to complement available data 1.0 or even to analyze preferences and habits where data 1.0 fails to do it.
With Barcelona’s tourists travelling around Catalonia, we have wondered where tourists visiting Barcelona like to go somewhere else in Catalonia, depending on the time of the year. This information aims to help all tourism business and institutions to better understand their current and potential customers.