New Method Aims to Reduce Street Openings in Amsterdam

A new collaborative design method for underground infrastructure work is being trialed in Amsterdam. The approach aims to better coordinate utility and civil engineering projects to reduce the frequency and disruption of street openings.

- In the Netherlands, over 41,000 incidents of excavation damage to underground utility cables and pipes were reported in a single year, resulting in an estimated total economic cost of around €1 billion annually. - The new approach is an application of Amsterdam's "Integral Design Method for Public Space" (IOOR), which prioritizes the increasingly crowded subsurface in spatial planning. This method shifts from traditional planning by coordinating underground needs for energy transition, climate adaptation, and digital infrastructure at the earliest stages of a project. - This integrated strategy is a municipal-level implementation of the national policy to have "water and subsurface as a basis for spatial planning," a principle adopted to address climate change and ensure sustainable land use. It also aligns with the Dutch government's national goal to achieve a fully circular economy by 2050. - The method was developed and first applied in the Amstel-Stad development area, a large-scale transformation zone in Amsterdam, to meet ambitious sustainability and energy targets that traditional planning methods could not achieve. - As part of this integrated approach, an innovative digital zoning tool for underground space was trialed in the ArenAPoort area to improve data sharing and clarify spatial claims between the municipality and utility asset owners. - This move towards integrated, data-driven planning is mirrored in other Dutch cities; Utrecht's digital twin of its underground infrastructure has reportedly led to 30% faster decision-making on related projects. - The re-establishment of a national Ministry of Housing and Spatial Planning in 2024 underscores the central government's renewed focus on coordinating spatial planning, a task that has become increasingly complex with the high density of functions required in both surface and subsurface areas.

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