sustainability-logo

Journal Browser

Journal Browser

Data Analysis and Data Communication for Combating the Effects of Climate Change in Cities

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Urban and Rural Development".

Deadline for manuscript submissions: closed (15 May 2023) | Viewed by 4275

Special Issue Editors


E-Mail Website
Guest Editor
VRVis Zentrum für Virtual Reality und Visualisierung Forschungs-GmbH, 1220 Vienna, Austria
Interests: climate change; urban climate; heat mitigation technologies; time series; visual analytics

E-Mail Website
Guest Editor
Head of BDAR Lab, Faculty of Architecture and Town Planning, Technion – Israel Institute of Technology, Haifa 3200003, Israel
Interests: urban microclimate; bioclimatic design; building performance simulation; big data analysis in architecture and town planning

Special Issue Information

Dear Colleagues,

The unprecedented global increase in frequency and magnitude of extreme weather events attributed to climate change (e.g., heatwaves, heavy precipitation, droughts, and tropical cyclones) is one of the most pressing and detrimental environmental challenges we currently face. With clear indications that such developments are prone to be exacerbated in the near future, the need to act now is imperative. This is especially true for urban areas, where the adverse climatic extremes are likely to impact the health, wellbeing, and livelihood of the rapidly growing urban populations.

While urban areas around the world differ in terms of size, built-up area, population density, urban morphology, and growth intensity, the global character of their exposure to extreme weather events attributed to climate change is evident. This calls for the development of concerted and systematic approaches to climate-resilient urban management and growth that could globally benefit urban areas.

The application of quantitative, evidence-based tools to support scientific understanding and help manage the risks of climate change in urban environments has continuously increased in recent years. However, the complexity of the problem requires a deeper level of integration of diverse disciplines, systems, data types, and tools, as well as better methods of communicating climate-related data to urban planning authorities and stakeholders. Cities today are therefore in need of new technologies, applications, and planning methods that can exploit the full potential of collected or generated data to interpret complex spatiotemporal climatic phenomena and support more informed decision making.

For this Special Issue of Sustainability, we welcome original research articles and reviews on recent applications of data analytics for enhancing climate-responsive urban planning and management. Contributions may cover (but may not be limited to) the following subjects:

  • Development of methodologies and tools to detect, predict, and mitigate urban-level challenges (e.g., urban overheating, flooding);
  • Evidence-based methodologies integrated into urban planning processes for enhancing urban climate resilience;
  • Interactive climate data mining focusing on non-stationarity, nonlinearity, and seasonality;
  • Exemplary cases of demonstration projects and response strategies to ameliorate urban-level challenges (e.g., urban overheating, flooding);
  • Innovative urban big data collection and analysis related to climatic challenges and their communication to wider audiences.

We look forward to receiving your contributions. 

Dr. Milena Vuckovic
Dr. Or Aleksandrowicz
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • urban climate
  • urban overheating
  • urban flooding
  • urban landscape
  • planning and design for urban resiliency
  • urban heat mitigation
  • innovative greening technologies
  • nature-based solutions
  • climate change adaptation
  • evidence-based planning and design

Published Papers (2 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

Jump to: Review

18 pages, 6383 KiB  
Article
On the Importance of Data Quality Assessment of Crowdsourced Meteorological Data
by Milena Vuckovic and Johanna Schmidt
Sustainability 2023, 15(8), 6941; https://doi.org/10.3390/su15086941 - 20 Apr 2023
Viewed by 1067
Abstract
This study reflects on the quality aspects of urban meteorological time series obtained by crowdsourcing, specifically the air temperature and humidity data originating from personal weather stations (PWS) and the related implications for empirical and numerical research. A number of year-long hourly-based PWS [...] Read more.
This study reflects on the quality aspects of urban meteorological time series obtained by crowdsourcing, specifically the air temperature and humidity data originating from personal weather stations (PWS) and the related implications for empirical and numerical research. A number of year-long hourly-based PWS data were obtained and compared to the data from the authoritative weather stations for selected areas in the city of Vienna, Austria. The results revealed a substantial amount of erroneous occurrences, ranging from singular and sequential data gaps to prevalent faulty signals in the recorded PWS data. These erroneous signals were more prominent in humidity time series data. If not treated correctly, such datasets may be a source of substantial errors that may drive inaccurate inferences from the modelling results and could further critically misinform future mitigation measures aimed at alleviating pressures related to climate change and urbanization. Full article
Show Figures

Figure 1

Review

Jump to: Research

28 pages, 1240 KiB  
Review
Assessing the Relationship between Urban Blue-Green Infrastructure and Stress Resilience in Real Settings: A Systematic Review
by Liwen Li and Klaus W. Lange
Sustainability 2023, 15(12), 9240; https://doi.org/10.3390/su15129240 - 7 Jun 2023
Cited by 1 | Viewed by 2356
Abstract
Acute and chronic stress can have detrimental effects on health, particularly in urban environments that lack conducive elements. Optimizing the urban landscape is a preventive measure to enhance well-being and develop healthier cities. This systematic review examines the relationship between stress reduction and [...] Read more.
Acute and chronic stress can have detrimental effects on health, particularly in urban environments that lack conducive elements. Optimizing the urban landscape is a preventive measure to enhance well-being and develop healthier cities. This systematic review examines the relationship between stress reduction and urban landscapes, focusing on 19 empirical studies conducted in real urban settings. The findings highlight the physiological and psychological benefits of urban green infrastructure in promoting stress recovery. A well-designed green infrastructure that incorporates objective measurements while considering accessibility, availability, biodiversity, and cumulative effects emerged as crucial for enhancing stress resilience. However, the existing research lacks comprehensive measurements and calls for innovative approaches to ensure evidence-based health outcomes. Interdisciplinary research is needed to develop rigorous methods and tools for understanding the complex link between urban landscapes and stress reduction. This review emphasizes the need for integrating objective measurements of urban green infrastructure and considering accessibility, availability, biodiversity, and cumulative effects to foster healthier urban environments and enhance stress resilience. Full article
Show Figures

Figure 1

Back to TopTop