Big Data as Supportive Incentivization for Sustainable Behavior: Shaping Sustainable Tourism Behaviour in the Alps with the Support of Image-Recognition
Type
conference paper
Date Issued
2023
Author(s)
Abstract
After two years of nearly "no-tourism" or chaotic touristic situations, people are starting again to travel around the globe, leading to relief to tourism destinations. However, the threat of climate change and the global call for the reduction of CO2-gas emissions forces tourism destinations, primarily when related to winter tourism, to foster a long-term sustainable transition towards a more resilient, low-carbon tourism strategy. Therefore, besides reducing CO2-gas emissions, measures against potential over-tourism effects have to be taken, and a more qualitative than quantitative tourism approach should be fostered. This study validated insights of big data and image recognition technology discloses tourism behavior patterns, which can be used to split and guide tourists to various routes, to reduce huge crowds in tourism hot spots (threat of overtourism), to transform tourism transportation to CO2-friendly options, and to balance the negative externalities for the environment, as well as for the local population, besides encouraging a long-term sustainable economy.
Language
English (United States)
Keywords
Sustainable travel behavior
Tourism
Image recognition
Alps
Climate change
Refereed
Yes
Publisher
AMS Proceedings
Event Title
Academy of Marketing Science Yearly Conference Proceedings
Event Location
New Orleans
Event Date
19.05.2023
Contact Email Address
florian.gasser@unisg.ch