The Integration of Geospatial Data for the BIM-Based Inventory of a Skatepark—A Case Study

ISPRS International Journal of Geo-Information, Journal Year: 2025, Volume and Issue: 14(5), P. 181 - 181

Published: April 24, 2025

Sports facilities encompass diverse spaces tailored to various sports disciplines, each characterized by unique shapes and sizes. Skateparks, renowned for their avant-garde designs, are meticulously crafted exude distinctiveness, featuring an array of constructions, surfaces, intricate shapes. Traditional measurement methods often struggle capture the spatial, structural, architectural diversity these facilities. Constructing 3D models, particularly with Building Information Modeling (BIM) technology, faces inherent challenges due complex individualistic nature skateparks. The crux lies in acquiring credible comprehensive spatial construction-related information. Geospatial data emerges as a viable solution, effectively addressing skatepark’s myriad forms while upholding information accuracy reliability. By gathering, processing, integrating Terrestrial Laser Scanning drone-based photogrammetry point cloud data, precise foundation is established BIM model generation. Leveraging integrated photographic aids identifying elements construction materials, facilitating creation detailed technical documentation life-like visualizations. This not only supports condition assessment maintenance planning, but also assists strategically planning facility expansions, renovations, or component replacements. Moreover, technology streamlines management preserving vital object-related structured database, enhancing overall efficiency effectiveness.

Language: Английский

Collective AI anxiety and team innovative behaviour: the role of coping strategies

Construction Innovation, Journal Year: 2025, Volume and Issue: unknown

Published: April 26, 2025

Purpose This study aims to investigate the relationship between collective anxiety relating introduction of artificial intelligence (AI) technologies in construction companies and team innovative behaviours, purposing a potential mediation role employees’ coping strategies. Design/methodology/approach The deductive nature research dedicated quantitative methodology. Structural equation modelling was conducted on data set 540 randomly chosen responses an online questionnaire from European-based employees. Findings results showed significant positive AI behaviour. relationships were also statistically significant. While emotion- relationship-focused had with behaviour, problem-focused negative relationship. An explanation cognitive psychology is offered for this finding. Practical implications There organizations increase behaviours through supporting strategies anxiety. Approaches include open discussions AI-related concerns allow members voice their anxieties fostering interpersonal connections facilitate coping. Originality/value contributes understanding psychological social impacts industry, offering practical insights innovation amidst AI-induced anxieties. In addition, it presents empirical examining relation-focused as new strategy Building conceptual framework at level addresses scarcity managing within teams.

Language: Английский