Portada: Infraestructura para la Logística Sustentable 2050
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Infraestructura para el desarrollo que queremos 2026-2030

Elaborado por el Consejo de Políticas de Infraestructura (CPI), este documento constituye una hoja de ruta estratégica para orientar la inversión y la gestión de infraestructura en Chile. Presenta propuestas organizadas en siete ejes estratégicos, sin centrarse en proyectos específicos, sino en influir en las decisiones de política pública para promover una infraestructura que conecte territorios, genere oportunidades y eleve la calidad de vida de la población.
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ARTÍCULO
TITULO

An Exploratory Investigation of Implementation of Building Information Modeling in Nepalese Architecture?Engineering?Construction Industry

Suman Paneru    
Prashnna Ghimire    
Ayushma Kandel    
Sudhir Thapa    
Nirmal Koirala and Mahesh Karki    

Resumen

Building Information Modeling (BIM) has gained a lot of traction in Nepal lately due to many AEC firms? desire to improve their productivity. This research explores the current state and potential of Building Information Modeling in the Nepalese context. The main objective of this research was to gain a holistic view of the digital design and construction approach in the AEC sectors and identify the current state of practice, future trends and opportunities, and challenges for the wider adoption of BIM in the AEC sector. A systematic survey was conducted among various AEC stakeholders; based on their responses, the status of BIM maturity is presented in this paper. We found that the lack of standards and guidelines slows stakeholders? efforts to unify BIM implementation in projects. However, the survey results show that AEC stakeholders are eager to learn, explore, and implement BIM in their workflows of design and construction practices. The wider implementation of BIM can improve the productivity of design and construction in developing countries such as Nepal. The contributions of this research are methodological and practical. It is demonstrated in this study that qualitative and quantitative data can be integrated in different ways to allow for different avenues of analysis. The logistic regression model deployed in this study identifies the determinants of BIM use and the intensity of their effects on the future use of BIM in the Nepalese AEC industry. The findings of this study can help to formulate BIM standards and training materials that are specific to the Nepalese AEC industry.

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