Page 50 - Smart tourism: A path to more secure and resilient destinations

• Predictive models to detect trends and anticipate the needs of tourists, offering them services
focused on their profiles and needs.

4.4.4.4 Safe Destination Reputation Analysis

4�4�4�4�1 Description
Enabling an analysis of the perception of safety, health and hygiene that the destination is
transmitting and promoting to tourists so that campaigns and actions can be established to increase
the image and brand of the Safe and Resilient Tourism Destination.

4�4�4�4�2 Main characteristics

• Analysis of tourist sentiment through
multiple channels, with special emphasis on
social networks and mobile apps.

• It allows us to evaluate the tourist's
perception in different phases of the trip: at
origin, during the stay and post-trip.

• At origin: enabling targeted marketing
campaigns to be implemented and
improving web positioning.

• At the destination: able to analyse the tourist experience to act and react in real time to possible
negative aspects.
• Post-trip: analysing the feedback received and the behaviour of the tourist in order to learn
from the experience and improve the next campaign.

4.4.4.5 Mapping of tourism spatial planning strategies

4�4�4�5�1 Description

Useful in identifying and boosting the
performance of the space (e.g., store, museum,
restaurant, tourist attraction) through geospatial
analysis combined with information on tourist
flows and economic impact.

4�4�4�5�2 Main characteristics
• Analysis of expenditure variables through anonymized information on POS transactions (average
expenditure, frequency) with the minimum level of aggregation (e.g., type of store, district,
neighbourhood).

40 Smart tourism: A path to more secure and resilient destinations