A multidomain approach to neighbourhood typology for urban environmental studies

作者：Kun Lyu, Dusan Licina, Jan Wienold, H Khodaei Tehrani, Dolaana Khovalyg · 发表于：Sustainable Cities and Society · 年份：2025 · DOI：10.1016/j.scs.2025.106378 · 被引用次数：7 · 研究领域：Urban Green Space and Health、Urban Heat Island Mitigation、Noise Effects and Management

• Data-driven cluster analysis on neighbourhood typology. • Performance informed clustering approach and k-value. • Neighbourhood types account for distinct multidomain environmental characteristics. • Separate cluster analysis on each city outperforms combined cluster analysis. • Support effective mitigation measures to enhance overall environmental quality. Cities are facing unprecedented challenges to their environments and residents due to continuous growth, including urban overheating, daylight accessibility, noise, and air pollution. This requires a holistic approach to the research and implementation of mitigation strategies, aiming at improving overall multidomain environmental quality. This study aims to develop a method for classifying neighbourhoods into identifiable types accounting for their distinctive multidomain environmental characteristics. The method uses a data-driven approach based on parameters describing urban morphology, land cover, and road network. A K -means algorithm was used to cluster 1583 neighbourhood units at the resolution of 250 m × 250 m in Geneva and Zurich, Switzerland. Performance-based comparisons were conducted to determine the optimal k -value and the most suitable clustering approach, evaluating separate versus combined clustering. Fifteen distinct neighbourhood types emerged from the analysis, spanning from high-density urban centres with extensive primary road networks to low-density suburban residential areas. These neighbourhood ...