Dynamic Map-based Data-Centric Approach for Tourism and Cultural Heritage Preservation Digital Twins

TL;DR

This paper introduces a data-centric digital twin framework tailored for tourism and cultural heritage management in smart cities, demonstrated through the Salvador Historic Center, enhancing preservation and sustainable tourism practices.

Contribution

It presents a novel QGIS-based digital twin approach specifically designed for managing tourism and cultural heritage assets in urban environments.

Findings

Supports heritage preservation and conservation efforts

Facilitates data visualization and silo integration

Aids in managing over-tourism and urban resilience

Abstract

Tourism is an essential and growing economic activity worldwide, bringing benefits such as job creation, revenue generation, and tax revenue, and driving economic prosperity. Tourism activities may also have negative impacts on cities, including overtourism and pressure on housing and real estate markets. Cultural heritage is an essential asset of cities and countries that must be preserved. Cultural heritage, as an asset, is commonly explored through tourism activities and may have negative impacts, including physical degradation, commodification, and loss of authenticity. A digital twin is a data-driven virtual representation of a physical object, system, or environment. However, although digital twin technology has been widely adopted in manufacturing, Industry 4.0, and urban planning for smart cities, there remains a gap in specialized digital twins for tourism and cultural heritage management. This paper proposes a QGIS-based, data-centric approach to digital twin frameworks that supports the management, development, and deployment of tourism and cultural heritage services and applications in smart cities. The data-centric approach is embedded in a specialized digital twin focusing on the Salvador Historic Center - Pelourinho, a highly important cultural asset and tourism spot for the city of Salvador. Currently, Pelourinho faces a persistent challenge in sustaining tourism flux while safeguarding its cultural and heritage assets. Preliminary results indicate that the data-centric approach adopted by Pelourinho's DT facilitates data visualization, integrates data silos, and adequately supports management, enabling managers to address heritage preservation and conservation issues, control over-tourism, and implement urban resilience and climate adaptation measures.