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Archaeological heritage ‘on-the-rise’: detecting emerging tourist attractions in Peru using machine learning and geotagged photographs by Nicole D. Payntar is a Social Sciences article available to read on EtoBox.

What is Archaeological heritage ‘on-the-rise’: detecting emerging tourist attractions in Peru using machine learning and geotagged photographs about?

Unlike large cities and urban heritage attractions, archaeological heritage sites in peripheral locations cannot readily absorb the impact of overtourism. Peru's rapid growth as a tourist destination since the late 1990s has been bolstered by the popularity of its archaeological heritage sites and past civilizations, particularly in the Cuzco region. As mass tourism and issues of overcrowding have confronted visitors and heritage managers in the Cuzco region, tourists have sought alternative archaeological attractions beyond Cuzco's ticketed sitesmany of which are open-access and unmonitored. By integrating large-scale internet photo datasets from Flickr and the power of computer vision and machine learning algorithms, this study identifies 'on-the-rise' (i.e. emerging) archaeological heritage attractions accessible from five Peruvian cities. The major contributions of this paper are (1) to provide a novel method capable of being scaled globally to identify emerging archaeological tourist attractions that are unmonitored by ticket sales, (2) to identify 'on-the-rise' archaeological attractions in Peru, and (3) to mitigate future risk (e.g. over-tourism, pollution, destruction and d

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Author

Nicole D. Payntar

Publisher

Informa UK Limited

Published

2021

Language

EN

Field

Social Sciences