Philipp Stern , Magdalena Holzer , Florian Kretschmer
{"title":"Implementing blue-green infrastructures in cities – A methodological approach considering space constraints and microclimatic benefits","authors":"Philipp Stern , Magdalena Holzer , Florian Kretschmer","doi":"10.1016/j.scs.2025.106391","DOIUrl":null,"url":null,"abstract":"<div><div>In the context of globally rising temperatures, the imperative for climate change adaptation measures in cities is becoming increasingly apparent. Blue-green infrastructures (BGI) are recognised for their heat mitigating effects. However, urban settlements frequently face spatial constraints, that hinder their implementation. Consequently, this article introduces a methodological approach to systematically describe and assess urban street space to indicate possible space availability for BGI implementation in dense urban areas. We propose two scenarios, one context sensitive and one more disruptive, to free up and increase available space by altering current street usage while maintaining initial street functionality. Compositions of BGI were implemented in the scenarios according to space availability and their anticipated heat mitigation potency. Microclimatic computer simulation served to assess related temperature reducing capacities of the newly implemented BGI. The methodological approach was applied in a historic part of Vienna, Austria. Investigations clearly showed a positive correlation of the extent of BGI implementation and the reduction of physiological equivalent temperature (PET). Correlating space consumption and temperature reducing capacity of BGI implementations revealed differences in microclimatic and spatial efficiency. Most efficient reductions of PET were observed when 10–25 % of street surface was allocated for BGI. Our study suggests that allocating around 10 % of street surface for new BGI implementation can lead to considerable reductions of PET emphasising the potential for effective urban heat mitigation strategies. The results and the method developed provide new insights and possibilities for strategic urban planning, implementing heat mitigation strategies in dense urban areas while supporting existing concepts for the sustainable transformation of cities.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"126 ","pages":"Article 106391"},"PeriodicalIF":10.5000,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Cities and Society","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2210670725002677","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
In the context of globally rising temperatures, the imperative for climate change adaptation measures in cities is becoming increasingly apparent. Blue-green infrastructures (BGI) are recognised for their heat mitigating effects. However, urban settlements frequently face spatial constraints, that hinder their implementation. Consequently, this article introduces a methodological approach to systematically describe and assess urban street space to indicate possible space availability for BGI implementation in dense urban areas. We propose two scenarios, one context sensitive and one more disruptive, to free up and increase available space by altering current street usage while maintaining initial street functionality. Compositions of BGI were implemented in the scenarios according to space availability and their anticipated heat mitigation potency. Microclimatic computer simulation served to assess related temperature reducing capacities of the newly implemented BGI. The methodological approach was applied in a historic part of Vienna, Austria. Investigations clearly showed a positive correlation of the extent of BGI implementation and the reduction of physiological equivalent temperature (PET). Correlating space consumption and temperature reducing capacity of BGI implementations revealed differences in microclimatic and spatial efficiency. Most efficient reductions of PET were observed when 10–25 % of street surface was allocated for BGI. Our study suggests that allocating around 10 % of street surface for new BGI implementation can lead to considerable reductions of PET emphasising the potential for effective urban heat mitigation strategies. The results and the method developed provide new insights and possibilities for strategic urban planning, implementing heat mitigation strategies in dense urban areas while supporting existing concepts for the sustainable transformation of cities.
期刊介绍:
Sustainable Cities and Society (SCS) is an international journal that focuses on fundamental and applied research to promote environmentally sustainable and socially resilient cities. The journal welcomes cross-cutting, multi-disciplinary research in various areas, including:
1. Smart cities and resilient environments;
2. Alternative/clean energy sources, energy distribution, distributed energy generation, and energy demand reduction/management;
3. Monitoring and improving air quality in built environment and cities (e.g., healthy built environment and air quality management);
4. Energy efficient, low/zero carbon, and green buildings/communities;
5. Climate change mitigation and adaptation in urban environments;
6. Green infrastructure and BMPs;
7. Environmental Footprint accounting and management;
8. Urban agriculture and forestry;
9. ICT, smart grid and intelligent infrastructure;
10. Urban design/planning, regulations, legislation, certification, economics, and policy;
11. Social aspects, impacts and resiliency of cities;
12. Behavior monitoring, analysis and change within urban communities;
13. Health monitoring and improvement;
14. Nexus issues related to sustainable cities and societies;
15. Smart city governance;
16. Decision Support Systems for trade-off and uncertainty analysis for improved management of cities and society;
17. Big data, machine learning, and artificial intelligence applications and case studies;
18. Critical infrastructure protection, including security, privacy, forensics, and reliability issues of cyber-physical systems.
19. Water footprint reduction and urban water distribution, harvesting, treatment, reuse and management;
20. Waste reduction and recycling;
21. Wastewater collection, treatment and recycling;
22. Smart, clean and healthy transportation systems and infrastructure;