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Identifying habitation patterns in world heritage areas through social media and open datasets

Identifiers
URI: http://hdl.handle.net/20.500.12251/3047
View/Open: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142201783&doi=10.1080%2f02723638.2022.2140971&partnerID=40&md5=b39f0bdf93ea7f493fcfd6c8ae009364
ISSN: 0272-3638
DOI: 10.1080/02723638.2022.2140971
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Author
García Esparza, Juan Antonio; Altaba Tena, Pablo
Date
2022
Subject/s

Patrimonio de la Humanidad

Despoblación

Redes sociales

Áreas urbanas

Calidad urbana

Urbanística y Ordenación del Territorio

Unesco Subject/s

3329.08 Medio Urbano

6310.11 Bienestar Social

6114.17 Percepciones y Movimientos Sociales

Abstract

Although cities with World Heritage (WH) areas worldwide are socially active, specific social and cultural complexities are associated primarily with the abandonment and decay of districts. Contemporary habitation patterns in historic districts require technology to understand parallel realities in protected areas. This stakeholders-based approach benefits significantly from cross-referencing locative social media and open data sources. Therefore, the concepts put forward in this paper use evidence from an empirical case of WH areas in selected Spanish urban sites. The cartographic correlation of data identifies hotspots of activities and coldspots around services within each site. The results present two significant findings. The first confirms the successful implementation of a digital method to support current transitions for the historic city. The second demonstrates that social networks and open datasets can mirror contemporary social interaction in historic cities. Finally, the study calls on further investigating Artificial Intelligence-based assessments for the future of WH areas. © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

Although cities with World Heritage (WH) areas worldwide are socially active, specific social and cultural complexities are associated primarily with the abandonment and decay of districts. Contemporary habitation patterns in historic districts require technology to understand parallel realities in protected areas. This stakeholders-based approach benefits significantly from cross-referencing locative social media and open data sources. Therefore, the concepts put forward in this paper use evidence from an empirical case of WH areas in selected Spanish urban sites. The cartographic correlation of data identifies hotspots of activities and coldspots around services within each site. The results present two significant findings. The first confirms the successful implementation of a digital method to support current transitions for the historic city. The second demonstrates that social networks and open datasets can mirror contemporary social interaction in historic cities. Finally, the study calls on further investigating Artificial Intelligence-based assessments for the future of WH areas. © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

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