The goal of building a smart city for developing economies is a data-driven, safe, and connected city with measurable performance indicators. Investments in infrastructure, training, and support systems are crucial for advancing the vision.
From the lessons learned, government support and initiatives and standardization play a critical role in driving Building Information Modeling (BIM) adoption.
The key prioritized elements in the suggested BIM development roadmap are standardization, collaboration, and implementation. This facilitates informed decision-making and collective contributions to a better city.
The implementation requires integrating BIM with other emerging technologies, like geographical information systems, artificial intelligence, machine learning, natural language processing, etc., and pilot implementation through collaboration for effectiveness and localization. This emphasizes the importance of high-quality 3D built asset data with effective applications.
The key progression elements in BIM development roadmaps involve the formulation of standards, information digitalization, development of a common data environment for integrated infrastructure, creation of data applications, and the implementation of data analytics for city management.