Mexican government increasingly adopting BIM standards to enhance construction efficiency and sustainability. Industry challenges: shortage of skilled professionals trained in advanced BIM technologies hindering adoption and implementation. Opportunities: construction sector continues growing driven by infrastructure investments and urbanization trends. Collaborations with local firms facilitate knowledge transfer. Strategic location offers global market relevance for international projects/partnerships. Key BIM companies include BIMLAB (pioneer and reference in Mexico), BIM MANIACOS, BIMTEGRA. Most represented industries: Architecture and Planning, Construction, IT/Software/Services, Education, Marketing Services

Article analyzing BIM implementation status in Bolivia. Notes most professionals/companies are transitioning from BIM Level 0 to Level 1 maturity (UK BIM Framework). Most still use CAD as primary tool; limited use of 3D BIM models. Based on IDB survey showing most companies have less than 3 years BIM experience.

International collaborative project where professionals from 15 countries designed 7-floor residential building using Open BIM technology. Seven seminars (May 14-28, 2020) demonstrating online collaboration via BIMserver.center platform.

Document describing Smart Creative Construction company’s use of BIM methodology in Bolivia to improve construction project management. Covers BIM integration of stakeholders, virtual modeling, time/cost simulation, and error detection.

Metro Line One part of Quito’s Hierarchically Integrated Transit System (HITS) integrating metro, BRT, regular bus services, walking and cycling. 81km BRT corridors maxed out, historic UNESCO downtown area prevented surface expansion. Multilateral financing: World Bank, IDB, Development Bank of Latin America (CAF), European Investment Bank. Global Infrastructure Facility provided technical assistance and feasibility studies. Private sector: civil engineering, signaling, electrification. Operations by EOMMT joint venture (Transdev and Colombia’s Metro de Medellin) under 6-year contract. Benefits approximately 20,000 low-income families, gender and disability considerations in design

Municipality of Quito agreed with Madrid Region 2010 for studies. Financing started 2012 with EIB, CAF, IDB, World Bank as four musketeers. Unprecedented collaboration between multilateral institutions. Flexible contract management framework overcame multiple challenges. Technical support 2022 for hiring operator, Medellin-Transdev selected 2023. Project survived countless challenges including delays but completed as complex urban infrastructure without previous country experience at lowest cost range globally. Timing from conceptualization to implementation among fastest worldwide. Brings dignity to public transport users especially women

Research analyzing remodelling of existing CAD documentation of Railway Station Šumice into BIM CDE and GIS environment. Evaluated effectiveness of remodelling existing railway as-built documentation for Railway Administration of Czech Republic. Addresses BIM data standard developed by State Fund for Transport Infrastructure. Conclusions show GIS environment (layer oriented) proved faster for remodelling compared to BIM CDE (object oriented) for railway structures with many special objects.

Research on links between Level of Development (LOD) in BIM environment and project documentation stages within Czech Republic legislation. Uses experiences from CzBIM working group ‘WG#03: BIM & Realization’ and ‘Draft of unified data structure for BIM in Czech Republic’. Defines specific LOD of parameters connected to specific information and details requested by Czech legislation.

Research analyzing BIM data-driven workflows for Complex Building Quality Assessment (CBQA) using Czech national assessment method SBToolCZ. Case study of real pilot residential building project funded by Technology Agency of Czech Republic (TN01000056, NCK CAMEB Centre for Advanced Materials and Efficient Buildings). Presents experience and recommendations for setting up data model for automatic assessment using IFC data structure.