Search Results (2)

This paper addresses an alternative perspective on tourism success, emphasising sustainability over traditional quantitative metrics such as arrival numbers. It explores the impact of fiction films and TV series on individuals’ mental representations of destinations featured on screen, as well as the capacity of film discourse to construct a brand aligned with local stakeholders’ interests. Qualitative methods have been employed, conducting a literature review on sustainable film tourism and destination branding. Local news and an interview with the head of the Peñíscola Film Office complemented academic insights. The primary goal is to examine the “Peñíscola de Cine” project as a paradigm of success, initiated by the city council of Peñíscola, Spain. This project positions the municipality as a natural film set through productions like Game of Thrones (2011–2019), illustrating how film can contribute to destination branding and community engagement. The study highlights the positive contribution of film tourism to sustainability by diversifying and de-seasonalising a territory’s offerings. It also attracts a more educated and environmentally conscious audience. However, it cautiously discusses the potential risks, as evidenced by misapplications in Goathland, England, and Skellig Michael, Ireland, following their appearances in Heartbeat (1992–2010) and Star Wars (1977–2019), respectively. The paper concludes by suggesting film-friendly measures for destination management organizations (DMOs), emphasising the pivotal role of film commissions and film offices in crafting effective marketing strategies and capturing the interest of audiovisual production companies. Full article

Large-scale infrastructure monitoring and vulnerability assessment are crucial for the preservation and maintenance of built environments. To ensure the safety of urban infrastructure against natural and man-made disasters, constant monitoring is crucial. To do so, satellite Earth observation (EO) is being proposed, particularly radar-based imaging, because it allows large-scale constant monitoring since radar signals are not blocked by clouds and can be collected during both day and night. The proposed methodology for large-scale infrastructure monitoring and vulnerability assessment is based on MT-InSAR time series analysis. The homogeneity of the year-to-year displacement trend between each point and its surrounding points is evaluated to determine whether the area is a stable or vulnerable zone. To validate the methodology, four case studies of recently collapsed infrastructures are analyzed. The results indicate the potential of the proposed methodology for predicting and preventing structural collapses. Full article