Evaluating the cooling effects of green infrastructure: A systematic review of methods, indicators and data sources

Bartesaghi-Koc, Carlos; Osmond, Paul; Peters, Alan

doi:10.1016/j.solener.2018.03.008

Cited by 215 publications

(91 citation statements)

References 218 publications

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“…The use of systematic review procedures to identify the state of the art in a given research field is becoming increasingly popular in the physical (e.g., Bartesaghi Koc et al, 2018), medical (e.g., Hill et al, 2016) and social sciences (e.g., Karpouzoglou et al, 2016). This approach facilitates a rigorous appraisal and synthesis of the literature in a (semi)-quantitative way to address specific hypotheses or research questions (Mulrow, 1987).…”

Section: Methodsmentioning

confidence: 99%

Low-Cost Environmental Sensor Networks: Recent Advances and Future Directions

et al. 2019

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The use of low-cost sensor networks (LCSNs) is becoming increasingly popular in the environmental sciences and the unprecedented monitoring data generated enable research across a wide spectrum of disciplines and applications. However, in particular, non-technical challenges still hinder the broader development and application of LCSNs. This paper reviews the development of LCSNs over the last 15 years, highlighting trends and future opportunities for a diverse range of environmental applications. We found air quality, meteorological and water-related networks were particularly well represented with few studies focusing on sensor networks for ecological systems. Furthermore, we identified bias toward studies that have direct links to human health, safety and livelihoods. These studies were more likely to involve downstream data analytics, visualizations, and multi-stakeholder participation through citizen science initiatives. However, there was a paucity of studies that considered sustainability factors for the development and implementation of LCSNs. Existing LCSNs are largely focused on detecting and mitigating events which have a direct impact on humans such as flooding, air pollution or geo-hazards, while these applications are important there is a need for future development of LCSNs for monitoring ecosystem structure and function. Our findings highlight three distinct opportunities for future research to unleash the full potential of LCSNs: (1) improvement of links between data collection and downstream activities; (2) the potential to broaden the scope of application systems and fields; and (3) to better integrate stakeholder engagement and sustainable operation to enable longer and greater societal impacts.

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Section: Methodsmentioning

confidence: 99%

Low-Cost Environmental Sensor Networks: Recent Advances and Future Directions

et al. 2019

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“…At a European environmental policy scale, a sufficient amount of green areas is found essential to reduce air pollution (de Ridder et al, 2004;Jordan & Adelle, 2012;Yow, 2007). They also help to reduce other negative aspects of living in cities, like the urban heat island phenomenon (Koc, Osmond, & Peters, 2018) and improve the air quality (Chenoweth et al, 2018). However, the urban green area coverage differs enormously across Europe and individual cities.…”

Section: Introductionmentioning

confidence: 99%

The continuous built-up area extracted from ISS night-time lights to compare the amount of urban green areas across European cities

Wicht

Kuffer²

2019

European Journal of Remote Sensing

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The presence of urban green areas significantly impacts urban inhabitants' well-being. However, comparative studies across European cities are constraint by urban administrative boundaries, which commonly do not match the continuous built-up urban area. This makes comparative research on environmental indicators very problematic, as administrative boundaries are not usually appropriate to define the urban human environment. Therefore, this study aimis to explore the use of night-time light (NTL) images of the International Space Station (ISS) to delineate the continuous built-up area (CBA) of selected European cities to calculate the urban green area share per alternatively derived city extent. The result of the CBA shows that NTL images provide a robust data source to make the urban extent of European cities comparable. By comparing results of different datasets on green areas, we discuss the limitations of existing indicators and opportunities for new ones. Results show that green areas are rarely in close proximity to human living environment, even though the share of urban green areas within the CBA might be larger, as in comparison to the administrative boundary. We conclude that ISS NTL imagery is very suitable for mapping the CBA when aiming at comparability of environmental indicators across cities.

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“…The benefits of green-roof contribute to some environmental aspects, including increasing biodiversity, reducing the effects of urban heat island [1][2][3][4][5], decreasing the thermal temperature of buildings [6][7][8]; on the economic aspect, including reducing maintenance costs and lowering operational costs [9][10][11]; and on aspects of social space, where people have access to green areas [12][13][14]. Economically, green-roof initiatives are feasible under certain conditions, but consideration needs to be paid to the construction costs of green-roof for the entire roofs of the buildings [9].…”

Section: Prospect Of Green Roofs Toward Sustainability Developmentmentioning

confidence: 99%

Green-Roof: The Role of Community in the Substitution of Green-Space toward Sustainable Development

2020

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The research challenge in the problem of the sustainable development goals is to find solutions for development control through the application of green roofs in residential areas, which is the feasibility of the role of the community. This research was based on the discipline of architecture by considering the role of the community in managing architectural green-space substitution. The purpose of this study was to identify patterns of the role of the community for green roofs feasibility based on housing, conducted in some parts of Sumatra, Java, and East Nusa Tenggara, Indonesia. Data were collected using a survey questionnaire. Data were calculated based on percentages and analyzed using the chi-square method. The results indicated that the optimization of the community role was needed for the sustainability of the green-roof from all economic levels, both urban and rural. The aspect of public awareness and knowledge of the benefits of the green-roof is very high, but the object of the green-roof in Indonesia is still very limited because participation is still not optimal. Therefore, it is necessary to promote the green-roof application to the community by adapting local culture in sustainable green-roof technology innovation.

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Evaluating the cooling effects of green infrastructure: A systematic review of methods, indicators and data sources

Cited by 215 publications

References 218 publications

Low-Cost Environmental Sensor Networks: Recent Advances and Future Directions

Low-Cost Environmental Sensor Networks: Recent Advances and Future Directions

The continuous built-up area extracted from ISS night-time lights to compare the amount of urban green areas across European cities

Green-Roof: The Role of Community in the Substitution of Green-Space toward Sustainable Development

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