Travel in the Future

Objectives

The project aims to develop a decision support tool to help city councils and other organizations that work within the tourism sector. Travel in the Future aims to study the quality level of methods and models used to predict tourist flows within a specific location, as well as analysing tourism data usually available on open-sources, such as: Social Networks, Open Data and Big Data, official websites of the sector, web pages and web portals dedicated to various destinations. This is a forecasting model that will be tested on five types of destinations: artistic cities, small villages, national parks, UNESCO World Heritage Sites and historical regions.

Activities

Analysis and evaluation of tourism destinations

Definition of a model to quantify tourist flows

Development and testing of a software able to forecast tourist flows

Valorization and industrial exploitation of results

Expected results

The development of a decision support tool to help local authorities and businesses involved in the promotion and marketing of tourism destinations
The optimization of tourism offerings by studying and understanding tourists’ preferences and their movement patterns
To simplify the planning of marketing campaigns specifically designed for different types of targets and aimed to create, promote and sell tourism packages and experiences
To support key players within the sector in adjusting tourism offerings and services according to visitors’ trends and traits (i.e. country of origin, habits, preferred tourist attractions, operators’ training, etc.)

Partners

The project is co-financed by the European Union, the Italian State and the Campania Region under the POR Campania FESR 2014/2020 and it’s aimed to implement the 1.1.2 action “Support for the purchase of services for technological, strategic, organizational and commercial business innovation and the 1.1.4 action “Support for collaborative R&D activities for the development of new sustainable technologies, new products and services” of Priority Axis 1 – Research and Innovation.