TRANSITIONING TO GREEN CITIES: ANALYZING EUROPEAN URBAN DEVELOPMENT MODELS FOR SUSTAINABLE GROWTH
TRANSITIONING TO GREEN CITIES: ANALYZING EUROPEAN URBAN DEVELOPMENT MODELS FOR SUSTAINABLE GROWTH
Author(s): Alin-Cristian Maricuț, Diana Timiş, Silvia Parusheva, Slaveya Zhelyazkova, Giani Ionel Grădinaru, Zoltán NagySubject(s): Applied Geography, Governance, Green Transformation
Published by: Fundacja Centrum Badań Socjologicznych
Keywords: green city concept; random forest; predictive analysis; transition; European Commission; principal component analysis;
Summary/Abstract: The transition to green energy and sustainable urban planning, guided by EU policies and local community perceptions, has positioned the concept of the "green city" as a key topic in both academic and practical discourse. This study provides an in-depth analysis of the current understanding of green cities, while also identifying cities structurally prepared for this transition. The literature review highlights the significance of the green city concept, the strategic directions of the EU, and the perspectives of residents regarding what constitutes a green city. The research outlines two primary objectives: (1) identifying urban development models within a selected sample of cities, and (2) determining cities or groups of cities with the potential to implement the green city concept. Using data from the Organisation for Economic Co-operation and Development (OECD) and Open Street Map, we employed spatial indicators and calculated average distances to key points of interest, using R software for analysis. Principal Component Analysis and Random Forest predictive analysis algorithm were applied to classify urban development models, facilitating the identification of cities best equipped for green city implementation. The findings offer valuable insights into sustainable urban transitions, providing a data-driven approach to guide policymakers and city planners in fostering resilient and green urban environments. This research emphasizes the importance of integrating technological tools with human-centered urban planning for a sustainable future.
Journal: Economics and Sociology
- Issue Year: 18/2025
- Issue No: 1
- Page Range: 217-235
- Page Count: 19
- Language: English
