Tourist flow and demand prediction in a territory

by | Nov 16, 2020 | 0 comments

Application Track:

Theme Driven



Proposed by:


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Summary of the entity:

Instituto Tecnológico de Informática (ITI) is a Research & Technology centre specialized in ICT, located in Valencia, Spain. ITI research and innovation activity is developed by a team of 200 highly-skilled researchers and technicians, focused on 6 key digital enablers around the Data Cycle: Cyber connectivity, Cyber-Physical Systems, Computing Infrastructures & Platforms, Big Data Analytics, Optimization Technologies, and Artificial Intelligence. All this knowledge and experience is brought to the industrial and public sector through a range of services: Access to infrastructure and technology platforms, Access to specialist expertise on digitisation & applications, Collaborative research for Industry needs, Demonstration of best practices, Training and Education, Showcase technologies in pilot factories, and Support experimentation in real-life environments.

ITI provides a Big Data Space offering infrastructure, tools and data for research and experimentation with Big Data Technologies, which has been awarded with the BDVA i-Space Silver label and is a key infrastructure for the Data Cycle Hub. The Data Cycle Hub (DCH, is the reference one-stop shop DIH in the Valencia region to foster data driven and artificial intelligence-based innovation. The objective is to bridge the gap between research and industry, specifically SMEs, providing innovative solutions and services that require advanced data analytics, automatic learning and artificial intelligence. The DCH is one of the 3 Spanish members of the European Network of Artificial Intelligence DIHs (, and was one of the 5 finalists to the DIHNET DIH Champions Challenge 2019.

Summary of the challenge:

The challenge is to predict the flow of tourists in a territory in a given period, the key points of interest (and their key traits), and most probable behaviour (demand) per customer profile.


Stakeholders: tourist destination, travel agencies, transport operators


One of the key activities for tourist destinations (event promoters, cities, regions) and travel agencies is the identification of trends and behaviours of tourists in their areas of influence, so as to prepare more effective tourism promotion plans (e.g. focused on key customer segments). To this end, the challenge is to collect and analyse relevant data to predict what would be the flow of tourists in the territory in a given period (e.g. next week, next month, next summer), the key points of interest, and their expected behaviour (demand prediction) according to certain profiles (individuals, families, businesses, youth, …). This challenge might require analysing data from different stakeholders: flows of passengers, accommodation reserves, movements to/from points of interest, social media trends, etc.

Another challenge linked to this is the identification of the key traits or characteristics of the most visited points of interest (in their area of influence or from competitor destinations), so as to identify twin locations in a certain area matching these traits and that could be visited/promoted successfully.


Expected outcomes:

  • Better knowledge and solutions to increase the maturity of Smart Destinations
  • Tool or solution for tourist flow prediction in a defined area, in a given period, combining statistical and/or historic data with (near) real-time data
  • Tool or solution to identify the key points of interest in a defined area, in a given period, and the expected service needs/demands of the tourists coming to these places.
  • Example of use case for the tool: list of top COVID19-free points of interest within a region, with relevant offer covering the expected demands

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