Definition and general context

Advanced evidence-based planning is a methodological approach that uses objective, rigorous and verifiable data to inform decision-making in construction and urban planning projects. It differs from traditional planning because it is not based solely on previous experiences or intuitions, but on a systematic analysis of quantitative and qualitative information obtained through advanced technologies and scientific processes.

This type of planning has been developed in response to the increasing complexity of infrastructure projects, the need to optimize resources and minimize risks. The incorporation of technologies such as big data, artificial intelligence and computer simulations allow a deeper level of analysis, improving the precision and effectiveness of structural and operational plans.

Basic principles of applied scientific evidence

Advanced evidence-based planning relies on the systematic collection and analysis of reliable data to guide decision making. This involves prioritizing empirical evidence over traditional opinions or practices, ensuring that decisions are based on verifiable and reproducible facts.

Additionally, this approach promotes transparency in planning processes, facilitating critical review and continuous updating as new data becomes available. Methodological rigor is essential to avoid bias and guarantee the validity of the conclusions that support the construction strategies.

Finally, advanced evidence-based planning emphasizes multidisciplinary integration, combining technical, social and environmental knowledge to obtain a holistic vision that responds to the current complexities of projects.

Types and sources of evidence used