A multidomain approach to neighbourhood typology for urban environmental studies

• 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 types exhibited distinctive environmental characteristics in the domains of thermal environment, air quality, daylight and acoustics (Kruskal-Wallis tests, p < 0.001 for all indicators). The Multidomain Neighbourhood Typology supports research on effective mitigation strategies by considering the broader multidomain environmental context to maximise co-benefits and minimise trade-offs. It also serves as a framework for context-specific implementations of mitigation measures, addressing the intrinsic multidomain environmental challenges of each neighbourhood type to enhance overall environmental quality.

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Publication Details

Journal
Sustainable Cities and Society
Published
2025-04-14
DOI
https://doi.org/10.1016/j.scs.2025.106378
Citations
3
Primary Topic
Urban Green Space and Health
Type
article
Field-Weighted Citation Impact
3.60
Controls
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article

A multidomain approach to neighbourhood typology for urban environmental studies

Dusan Licina, Jan Wienold, Dolaana M. Khovalyg, Kun Lyu et al.
3 citations
Sustainable Cities and Society
Urban Green Space and Health
3.60
article

A multidomain approach to neighbourhood typology for urban environmental studies

Dusan Licina, Jan Wienold, Dolaana M. Khovalyg, Kun Lyu, H Khodaei Tehrani
article en
3 citations

Abstract

• 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 types exhibited distinctive environmental characteristics in the domains of thermal environment, air quality, daylight and acoustics (Kruskal-Wallis tests, p < 0.001 for all indicators). The Multidomain Neighbourhood Typology supports research on effective mitigation strategies by considering the broader multidomain environmental context to maximise co-benefits and minimise trade-offs. It also serves as a framework for context-specific implementations of mitigation measures, addressing the intrinsic multidomain environmental challenges of each neighbourhood type to enhance overall environmental quality.

Sustainable Cities and SocietyVol. 128
École Polytechnique Fédérale de Lausanne (CH)
Sustainable cities and communities
Openalex Percentile: Top 8%
Urban Green Space and Health
3.60
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