GIS and HBIM for tourism management: a multiscale challenge
[ES] Historic cities present complex management challenges, requiring strategies that balance cultural preservation with planning and enhancement efforts, particularly in the context of tourism activities. Digital twins, which integrate various data sources to create spatial databases, offer a promi...
| Autores: | , |
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| Tipo de recurso: | capítulo de libro |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Universitat Politècnica de València (UPV) |
| Repositorio: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| Idioma: | inglés |
| OAI Identifier: | oai:riunet.upv.es:10251/208027 |
| Acceso en línea: | https://riunet.upv.es/handle/10251/208027 |
| Access Level: | acceso abierto |
| Palabra clave: | GIS HBIM Tourism Scale Digital database |
| Sumario: | [ES] Historic cities present complex management challenges, requiring strategies that balance cultural preservation with planning and enhancement efforts, particularly in the context of tourism activities. Digital twins, which integrate various data sources to create spatial databases, offer a promising solution to this challenge, enabling comprehensive views of urban environments and historical structures. Among the key tools employed in this digital transformation are Historic Building Information Modelling (HBIM) and Geographic Information Systems (GIS). HBIM provides detailed representations of historical structures, while GIS offers spatial analysis tools for organizing and visualizing data at larger scales, crucial for tourist management. The integration of these tools facilitates informed decision-making processes and supports the development of smart tourist cities. However, to achieve this, it is first necessary to define the levels of information that will be addressed for both. In this document, various elements levels are proposed considering different scales, along with the levels of geometric and semantic complexity they may have. Additionally, it is explored how these data can be represented within a GIS platform. |
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