Details

Autor(en) / Beteiligte

• Zadeh, Hadi M.
• Lenzi, Emilia
• Dong, Tao
• Biraghi, Carlo A.
• Pucci, Emanuele
• Cerutti, Federico
• Tadi, Massimo

Titel

A conceptual data model for IMM: A methodological interpretation of targets and indicators in SDG11

Ist Teil von

• The Science of the total environment, 2024-10, p.177269, Article 177269

Ort / Verlag

Netherlands: Elsevier B.V

Erscheinungsjahr

2024

Quelle

Access via ScienceDirect (Elsevier)

Beschreibungen/Notizen

• We are rapidly approaching the midpoint of the period set by the UN Agenda 2030 for transforming our activities on the planet Earth. Yet, many of the global issues we have begun with stand still while some of them took a much more severe course. The Sustainable Development Goals (SDGs) are unambiguous. What is unclear is the way to propel our socio-economic organizations into the desired performances. Regarding performance control, the built environment is arguably the most critical system. Every year, we add more urbanized land to the face of the planet without clearly envisioning its environmental effects and social outgrowth. As a result, we frequently find ourselves struggling with unpleasant consequences and unpredicted side effects. In our body of knowledge, there is a missing link between urban structure and performance. This paper offers a systemic breakdown of urban structural parameters and a coherent reading of its performance indicators intending to create a City Information Modelling (CIM) tool. The objective is to formulate the reciprocal relationship between the components of the built environment (as the designer's toolbox) and the system's outcome. To do so, this article moves from the Integrated Modification Methodology (IMM), exploring it through the lens of an Entity-Relationship (ER) schema, delving into its systemic approach to model the built environment as a Complex Adaptive System (CAS). IMM elucidates the intricate structure/performance relationships inherent in the complexity of the built environment. Building upon the successful IMM application in numerous urban transformation projects and retrofitting procedures, our focus is now on streamlining operational processes and accelerating workflow efficiency. Specifically, we seek to optimize the rapid assessment of correlations between structural changes and performance outcomes within the IMM framework. This work aims to operationalize the Agenda 2030, enabling a practical methodological interpretation of targets and indicators in SDG11. [Display omitted] •Sustainable Development Goals are tied to the performance of the built environment.•Built environment is a complex system that is impossible to predict fully.•There are complex links between urban structural and performance parameters.•A reliable database design is needed to study this network of relationships.•An Entity-Relationship model is the first step toward the database design.