Modelling the smart city performance

TLDR

The triple helix model serves as a reference framework for analyzing knowledge‑based innovation systems, linking university, industry, and government in reciprocal relationships. The study analyzes how smart city components interrelate within the triple helix framework, using the Analytic Network Process to model, cluster, and begin measuring smart city performance. The authors employ the Analytic Network Process, identifying a comprehensive set of urban‑level indicators from literature to model, cluster, and measure smart city performance. The resulting model captures interactions and feedbacks among clusters, yielding ratio‑scale priorities that provide a more realistic representation to support policy‑making.

Abstract

This paper aims to offer a profound analysis of the interrelations between smart city components connecting the cornerstones of the triple helix. The triple helix model has emerged as a reference framework for the analysis of knowledge-based innovation systems, and relates the multiple and reciprocal relationships between the three main agencies in the process of knowledge creation and capitalization: university, industry and government. This analysis of the triple helix will be augmented using the Analytic Network Process to model, cluster and begin measuring the performance of smart cities. The model obtained allows interactions and feedbacks within and between clusters, providing a process to derive ratio scales priorities from elements. This offers a more truthful and realistic representation for supporting policy-making. The application of this model is still to be developed, but a full list of indicators, available at urban level, has been identified and selected from literature review.