Innovative Tools for Tourism and Cultural Tourism Impact Assessment

The importance of data and evidence has increased considerably in policy planning, implementation, and evaluation. There is unprecedented availability of open and big data, and there are rapid developments in intelligence gathering and the application of analytical tools. While cultural heritage hol...

Full description

Saved in:
Bibliographic Details
Published in:Sustainability 2020-09, Vol.12 (18), p.7470
Main Authors: Kalvet, Tarmo, Olesk, Maarja, Tiits, Marek, Raun, Janika
Format: Article
Language:English
Subjects:
Algorithms
Artificial intelligence
Big Data
Cultural heritage
Cultural resources
Cultural tourism
Culture
Data sources
Digital media
Geographic information systems
Intelligence gathering
Local communities
Open data
Public policy
Researchers
Sustainability
Sustainable development
Tourism
Trends
Websites
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The importance of data and evidence has increased considerably in policy planning, implementation, and evaluation. There is unprecedented availability of open and big data, and there are rapid developments in intelligence gathering and the application of analytical tools. While cultural heritage holds many tangible and intangible values for local communities and society in general, there is a knowledge gap regarding suitable methods and data sources to measure the impacts and develop data-driven policies of cultural tourism. In the tourism sector, rapid developments are particularly taking place around novel uses of mobile positioning data, web scraping, and open application programming interface (API) data, data on sharing, and collaborative economy and passenger data. Based on feedback from 15 European cultural tourism regions, recommendations are developed regarding the use of innovative tools and data sources in tourism management. In terms of potential analytical depth, it is especially advisable to explore the use of mobile positioning data. Yet, there are considerable barriers, especially in terms of privacy protection and ethics, in using such data. User-generated big data from social media, web searches, and website visits constitute another promising data source as it is often publicly available in real time and has low usage barriers. Due to the emergence of new platform-based business models in the travel and tourism sector, special attention should be paid to improving access and usage of data on sharing and collaborative economy.
ISSN:2071-1050
2071-1050
DOI:10.3390/su12187470