CICtourGUNE

Cooperative Research Center in Tourism

Turismoko Ikerketa Zentro Kooperatiboa

Centro de Investigación Cooperativa en Turismo

Donostiako Parke Teknologikoa

Mikeletegi Pasealekua, 71 · 3. Solairua

E- 20009 Donostia/ San Sebastian · Spain

Tel.: +34 943 010885 · Fax: +34 943 010846

tourgune.org

Smart Tourism Ecosystemsand

Smart Tourism DestinationsDr Carlos LamsfusDirector, Human Mobility and Technology

Index1.- Context of Smart Tourism: Tech infrastructure – Social trends

2.- What is smart destination

3.- Challenges

4.- CICtourGUNE added value – Examples

5.- Conclusions

Index1.- Context of Smart Tourism: Tech infrastructure – Social trends

2.- What is smart destination

3.- Challenges

4.- CICtourGUNE added value – Examples

5.- Conclusions

4

Conceptualización Smart City

2nd Idea

Mobile Device Usage

Personal Context-based Information and Services

Augmented Spaces

7

Smart Cities

m-Commercem-Marketing

PERSONAL CONTEXT BASED INFORMATION AND SERVICES

Augmented Spaces

Index1.- Context of Smart Tourism: Tech infrastructure – Social trends

2.- What is smart destination

3.- Challenges

4.- CICtourGUNE’s added value

5.- Examples

6.- Conclusions

9

Smart Destination • Considering

• The importance of Intelligent Systems in Tourism

• The increasing availability of tech-infrastructure (IoT)

• The complexity of the tourism experience

• The opportunities of the tech-mediated world

10

Smart Destination

A Tourism Destination is said to be Smart when it makes

intensive use of the technological infrastructure provided by

the Smart City in order to: (i) enhance the tourism

experience of visitors by making them aware of both local

and tourism services and products available to them at the

destination and (ii) by empowering destination management

organizations, local institutions and tourism companies to

make their decisions and take actions based upon the data

produced in within the destination, gathered, managed and

processed by means of the technology infrastructure

Index1.- Context of Smart Tourism: Tech infrastructure – Social trends

2.- What is smart destination

3.- Challenges

4.- CICtourGUNE added value – Examples

5.- Conclusions

12

Challenges • Information and data gathering

• Information modelling

• Big Data

• Linked – Open Data

• Real time Big Data Analysis – Ultra-personalisation

• Information analysis for decision making

• Definition and analysis of requirements

• Service integration

• Engagement

Challenges• Connectivity

• Security

• Remember that mobility is a social phenomenon

• Address societal challenges with base on technology

• Understanding what the Internet of Things can do for us

• Understanding the convergence of the physical and digital world

• Building a new tech-based social relationship framework

• Empowerment of tourists

Index1.- Context of Smart Tourism: Tech infrastructure – Social trends

2.- What is smart destination

3.- Challenges

4.- CICtourGUNE added value – Examples

5.- Conclusions

15

myfences • Plataforma web• Gestión de fences y datos de contexto para notificaciones push.• También dispone de API REST para su gestión: crear/eliminar fence,

etc.

área de fence

nombre de fence

contexto

datos para enviar

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qrrrify • Plataforma web• Permite incluir elementos como textos, imágenes, vídeos, audios,

mapas, botones de contacto y enlaces entre las páginas creadas.• Una vez creada la página se generará el código QR correspondiente.

Elementos Panel de edición

17

qrrrify ejemplo

18

¿Cómo funciona? Módulo móvil SDK Servidor GIS Módulo web de analítica

19

apptrack • Visualización de datos• Mapas de calor• Mapas de clústeres

20

Conectur – Aplicación móvil

Examples

• AENOR – Smart Destination Standardisation Committee

• Groups: Technology, innovation, Sustainability,

• Members: Universities, Companies, Research institutes, and official

bodies: AENOR, SEGITTUR

Index1.- Context of Smart Tourism: Tech infrastructure – Social trends

2.- What is smart destination

3.- Challenges

4.- CICtourGUNE added value – Examples

5.- Conclusions

Conclusions and Implications

• We build the technology that allows us to observe - microscope

• Define how people move, why, who with, etc.

• New measuring techniques variables

• Know you client: ultra-personalisation

• Go mobile to know you client

• Mobile technology enables for the first time:

• Personalised services on the go

• Evaluate various variables at the same time and compute them

• Better knowing and understanding the human mobility phenomenon

• Definition and establishment of living labs

Conclusions and Implications • Inter and multidisciplinary work

• We are not going to accomplish anything if we do not work closer

with one another

• why are plenty of apps not working?

• Why are plenty of marketing strategies not working?

• More experimental work

• IT is important, but tourism is a social science

• Difficult to build living labs, but important to build smarter

destinations

• More contact to industry and research

CICtourGUNE

Cooperative Research Center in Tourism

Turismoko Ikerketa Zentro Kooperatiboa

Centro de Investigación Cooperativa en Turismo

Donostiako Parke Teknologikoa

Mikeletegi Pasealekua, 71 · 3. Solairua

E- 20009 Donostia/ San Sebastian · Spain

Tel.: +34 943 010885 · Fax: +34 943 010846

tourgune.org

Smart Tourism Ecosystemsand

Smart Tourism DestinationsDr Carlos LamsfusDirector, Human Mobility and Technology