[论文解读] Dynamic Map-based Data-Centric Approach for Tourism and Cultural Heritage Preservation Digital Twins

Falcão, João Spínola, Hohlenwerger, João G. Perrone+4 more|SPIRE - Sciences Po Institutional REpository|Feb 13, 2026

3D Surveying and Cultural Heritage被引用 0

一句话总结

提出基于 QGIS 的数据驱动数字孪生框架，用于在智慧城市中管理旅游与文化遗产；在萨尔瓦多的 Pelourinho 历史中心进行示范，整合 IoT、社交和遗产数据以实现实时监测与情景分析。

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.

研究动机与目标

• 解决旅游与文化遗产管理领域缺乏专业数字孪生的空白。
• 开发一个数据驱动、基于 QGIS 的 Pelourinho 数字孪生架构，整合异构数据源。
• 实现对遗产保护与旅游管理的实时监测、情景仿真与预测性维护。
• 演示数据集中化如何支撑城市韧性和气候适应的决策。

提出的方法

• 采用数据驱动的方法，将数据质量与数量作为架构核心。
• 使用 PostgreSQL with PostGIS 后端来存储和管理多样化的时间序列、地理参考数据。
• 通过数据库到 QGIS 的映射方法将 IoT 及其他数据映射到 QGIS 图层。
• 实现一个 Service-Specific Data Processing and Analytics (SSDPA) 模块用于空间 SQL 查询与视图。
• 开发五层 DT 架构（物理世界、数据枢纽、分析模型、仿真核心、可视化）。
• 应用 AI 驱动的数据处理与情景仿真来分析旅游流与环境影响。

实验结果

研究问题

• RQ1 一个数据驱动、GIS 基础的数字孪生能否在智慧城市背景下整体性地解决旅游流量、文化遗产保护与社会福祉的问题？
• RQ2 如何整合并对 Pelourinho 等遗产地进行地理参考的数据源，以支持管理决策？
• RQ3 数据驱动架构在实现对城市遗产管理的实时监测、预测分析与情景规划中起到怎样的作用？

主要发现

• 数据驱动的 DT 能实现对数据孤岛的可视化与整合，以支持遗产保护与过度旅游的缓解。
• Pelourinho DT 能监测游客流量、识别拥堵热点、对旅游情景进行仿真，并评估环境影响。
• 该架构通过数据枢纽集中数据，便于一致的时空分析与可扩展的可视化。
• 动态地图和仪表板支持城市管理、旅游规划与保护策略的决策制定。