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Airbnb and Overtourism: An Approach to a Social Sustainable Model Using Big Data

In: Strategies in Sustainable Tourism, Economic Growth and Clean Energy

Author

Listed:
  • María Jesús Such-Devesa

    (University of Alcalá)

  • Ana Ramón-Rodríguez

    (University of Alicante Spain)

  • Patricia Aranda-Cuéllar

    (University of Alcalá)

  • Adrián Cabrera

    (University of Alcalá)

Abstract

Tourism has been proved an important driving force for economic growth and development. Despite that, the overtourism phenomenon, hand in hand with the sharing economy, has been proved to affect destinations in multiple ways, tourism rejection or the rising of the housing prices, among others. Over the last decade and mainly since United Nations 2030 Agenda was announced, the sustainability of the cities has become an explicit global objective of development. Tourism has been understood as a tool for improving economic and social aspects in contexts of countries in development, but the phenomenon of tourism saturation and concentration around few neighbourhoods in solid destinations from developed economies could be distancing this achievement from the cities. This chapter presents a comparative analysis between two of the top urban Spanish destinations, Madrid and Barcelona, showing the current reality between tourism, real estate prices and mean household income in a neighbourhood-level approach. Does overtourism help destinations in the goal of reaching regional convergence in terms of urban sustainability or does it worsen the situation?

Suggested Citation

  • María Jesús Such-Devesa & Ana Ramón-Rodríguez & Patricia Aranda-Cuéllar & Adrián Cabrera, 2021. "Airbnb and Overtourism: An Approach to a Social Sustainable Model Using Big Data," Springer Books, in: Daniel Balsalobre-Lorente & Oana M. Driha & Muhammad Shahbaz (ed.), Strategies in Sustainable Tourism, Economic Growth and Clean Energy, chapter 0, pages 211-233, Springer.
  • Handle: RePEc:spr:sprchp:978-3-030-59675-0_12
    DOI: 10.1007/978-3-030-59675-0_12
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