El big data, el desglose espacial y su rol en la detección de problemas de saturación en los destinos turísticos

  1. Patricia Aranda Cuéllar 1
  2. María Jesús Such Devesa 1
  3. Teresa Torregrosa Martí 2
  1. 1 Universidad de Alcalá
    info

    Universidad de Alcalá

    Alcalá de Henares, España

    ROR https://ror.org/04pmn0e78

  2. 2 Universitat d'Alacant
    info

    Universitat d'Alacant

    Alicante, España

    ROR https://ror.org/05t8bcz72

Journal:
Economía industrial

ISSN: 0422-2784

Year of publication: 2022

Issue Title: Sostenibilidad, Innovación y Competitividad Turística

Issue: 426

Pages: 79-84

Type: Article

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More publications in: Economía industrial

Abstract

The sustainability of destinations has been a worldwide development objective during the last decade, but saturation and accommodation supply concentration within a few neighborhoods of these consolidated destinations may be moving cities away from this achievement. The rapid consolidation of the phenomenon of overtourism, closely linked to the platform economy, has been shown to have various impacts such as the increase in real estate prices or the generation of rejecting attitudes towards tourism. This article addresses the relationship between tourism and the Airbnb accommodation offer through a tool with enormous potential to analyze this problematic: Big Data. The importance of detecting and recognizing the existence of different degrees of supply saturation in tourist destinations is a key point to ensure the social sustainability of the activity

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Data source: Dialnet