3D virtual reconstruction and visualisation of the archaeological site Castellet de Bernabé (Llíria, Spain)

The health crisis caused by the coronavirus (COVID-19) pandemic created an unprecedented social situation. In the most critical moments, tourism activities were cancelled or reduced to their minimum operation, creating an extreme situation of separation of a country’s heritage from residents and tourists. The objective of this work is to propose new options and strategies to reconnect the public with heritage under any circumstance and, at the same time, offer tourism services in healthy, secure conditions. Thus, live-streaming experiences of online interpretative tourist guidance were developed in heritage spaces; those visits were led by real guide-interpreters in a real environment and transmitted for remote visitors. We have called this visiting model the “Avatar Tourist Visit”. It is based on tools associated with Heritage Interpretation, Interpersonal Communication, Filmmaking and Audio-Visual Language, and Information and Communication Technologies. The methodological development of this tool was based on Design Sciences Research as the creation of a new procedure was pursued. The result is a sustainable, immersive, interactive, inclusive, unique, and resilient tourism product designed not only for times of crisis but also to connect the public with heritage at all times and ensure universal access to it. In addition, this activity constitutes a marketable experience as a specialized and customizable tourist product.

This article presents a bibliometric analysis conducted on the implementation of sensor-extracted data in the context of Historical Building Information Modeling (HBIM) with a focus on the conservation of heritage buildings. The study utilized recognized databases, namely, Web of Science (WoS) and Scopus. A bibliometric analysis methodology was applied, employing the VOSviewer 1.6.19 software. The results obtained provide a robust overview of the current state and trends in HBIM and sensor research and enabled the identification of emerging trends in the field of preventive conservation. Three promising trends were identified, establishing connections between this field and 4D spatial data management, energy performance, and artificial intelligence. Additionally, relations with climate change were also detected. These trends underscore a significant convergence of technologies and methodologies in the realm of heritage building conservation. The conclusions serve as a valuable contribution to guiding future research in the field of built heritage conservation.

This paper addresses methodological issues related to the identification and monitoring of visitor overcrowding and congestion situations in historic centres. Once the visitor carrying capacity was estimated for public spaces, taking into consideration the standards of quality and comfort for visitor experience and those related to the desired conditions for heritage assets’ conservation, digital real-time monitoring tools were implemented in an experimental urban area in Valencia, Spain, in order to know, through the establishment of proxemic triggers, when the standards were violated (or may soon be violated); then, the carrying capacity was exceeded, and management actions may be required. The results show that these digital monitoring tools are very efficient and accurate in micro-scale public spaces, user-friendly and affordably priced.

Recreational carrying capacity on small mediterranean islands