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Mikael Mangold
RISE Research Institutes of Sweden, 412 58 Gothenburg, Sweden

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Journal article
Published: 13 July 2021 in Sustainability
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The presence of hazardous materials hinders the circular economy in construction and demolition waste management. However, traditional environmental investigations are costly and time-consuming, and thus lead to limited adoption. To deal with these challenges, the study investigated the possibility of employing registered records as input data to achieve in situ hazardous building materials management at a large scale. Through characterizing the eligible building groups in question, the risk of unexpected cost and delay due to acute abatement could be mitigated. Merging the national building registers and the environmental inventory from renovated and demolished buildings in the City of Gothenburg, a training dataset was created for data validation and statistical operations. Four types of inventories were evaluated to identify the building groups with adequate data size and data quality. The observations’ representativeness was described by plotting the distribution of building features between the Gothenburg dataset and the training dataset. Evaluating the missing data and the positive detection rates affirmed that reports and protocols could locate hazardous materials in the building stock. The asbestos and polychlorinated biphenyl (PCB)-containing materials with high positive detection rates were highlighted and discussed. Moreover, the potential inventory types and building groups for future machine learning prediction were delineated through the cross-validation matrix. The novel study contributes to the method development for assessing the risk of residual hazardous materials in buildings.

ACS Style

Pei-Yu Wu; Kristina Mjörnell; Mikael Mangold; Claes Sandels; Tim Johansson. A Data-Driven Approach to Assess the Risk of Encountering Hazardous Materials in the Building Stock Based on Environmental Inventories. Sustainability 2021, 13, 7836 .

AMA Style

Pei-Yu Wu, Kristina Mjörnell, Mikael Mangold, Claes Sandels, Tim Johansson. A Data-Driven Approach to Assess the Risk of Encountering Hazardous Materials in the Building Stock Based on Environmental Inventories. Sustainability. 2021; 13 (14):7836.

Chicago/Turabian Style

Pei-Yu Wu; Kristina Mjörnell; Mikael Mangold; Claes Sandels; Tim Johansson. 2021. "A Data-Driven Approach to Assess the Risk of Encountering Hazardous Materials in the Building Stock Based on Environmental Inventories." Sustainability 13, no. 14: 7836.

Journal article
Published: 22 January 2021 in Recent Progress in Materials
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Assessment of the presence of hazardous materials in buildings is essential for improving material recyclability, increasing working safety, and lowering the risk of unforeseen cost and delay in demolition. In light of these aspects, machine learning has been viewed as a promising approach to complement environmental investigations and quantify the risk of finding hazardous materials in buildings. In view of the increasing number of related studies, this article aims to review the research status of hazardous material management and identify the potential applications of machine learning. Our exploratory study consists of a two-fold approach: science mapping and critical literature review. By evaluating the references acquired from a literature search and complementary materials, we have been able to pinpoint and discuss the research gaps and opportunities. While pilot research has been conducted in the identification of hazardous materials, source separation and collection, extensive adoption of the available machine learning methods was not found in this field. Our findings show that (1) quantification of asbestos-cement roofing is possible from the combination of remote sensing and machine learning algorithms, (2) characterization of buildings with asbestos-containing materials is progressive by using statistical methods, and (3) separation and collection of asbestos-containing wastes can be addressed with a hybrid of image processing and machine learning algorithms. Analysis from this study demonstrates the method applicability and provides an orientation to the future implementation of the European Union Construction and Demolition Waste Management Protocol. Furthermore, establishing a comprehensive environmental inventory database is a key to facilitating a transition toward hazard-free circular construction.

ACS Style

Pei-Yu Wu; Kristina Mjörnell; Claes Sandels; Mikael Mangold. Machine Learning in Hazardous Building Material Management: Research Status and Applications. Recent Progress in Materials 2021, 03, 1 -1.

AMA Style

Pei-Yu Wu, Kristina Mjörnell, Claes Sandels, Mikael Mangold. Machine Learning in Hazardous Building Material Management: Research Status and Applications. Recent Progress in Materials. 2021; 03 (02):1-1.

Chicago/Turabian Style

Pei-Yu Wu; Kristina Mjörnell; Claes Sandels; Mikael Mangold. 2021. "Machine Learning in Hazardous Building Material Management: Research Status and Applications." Recent Progress in Materials 03, no. 02: 1-1.

Journal article
Published: 19 May 2020 in Energies
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Building databases are important assets when estimating and planning for national energy savings from energy retrofitting. However, databases often lack information on building characteristics needed to determine the feasibility of specific energy conservation measures. In this paper, machine learning methods are used to enrich the Swedish database of Energy Performance Certificates with building characteristics relevant for a chosen set of energy retrofitting packages. The study is limited to the Swedish multifamily building stock constructed between 1945 and 1975, as these buildings are facing refurbishment needs that advantageously can be combined with energy retrofitting. In total, 514 ocular observations were conducted in Google Street View of two building characteristics that were needed to determine the feasibility of the chosen energy retrofitting packages: (i) building type and (ii) suitability for additional façade insulation. Results showed that these building characteristics could be predicted with an accuracy of 88.9% and 72.5% respectively. It could be concluded that machine learning methods show promising potential to enrich building databases with building characteristics relevant for energy retrofitting, which in turn can improve estimations of national energy savings potential.

ACS Style

Jenny Von Platten; Claes Sandels; Kajsa Jörgensson; Viktor Karlsson; Mikael Mangold; Kristina Mjörnell. Using Machine Learning to Enrich Building Databases—Methods for Tailored Energy Retrofits. Energies 2020, 13, 2574 .

AMA Style

Jenny Von Platten, Claes Sandels, Kajsa Jörgensson, Viktor Karlsson, Mikael Mangold, Kristina Mjörnell. Using Machine Learning to Enrich Building Databases—Methods for Tailored Energy Retrofits. Energies. 2020; 13 (10):2574.

Chicago/Turabian Style

Jenny Von Platten; Claes Sandels; Kajsa Jörgensson; Viktor Karlsson; Mikael Mangold; Kristina Mjörnell. 2020. "Using Machine Learning to Enrich Building Databases—Methods for Tailored Energy Retrofits." Energies 13, no. 10: 2574.

Journal article
Published: 22 May 2018 in Sustainability
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The European building stock was renewed at a rapid pace during the period 1950–1975. In many European countries, the building stock from this time needs to be renovated, and there are opportunities to introduce energy efficiency measures in the renovation process. Information availability and increasingly available analysis tools make it possible to assess the impact of policy and regulation. This article describes methods developed for analyzing investments in renovation and energy performance based on building ownership and inhabitant socio-economic information developed for Swedish authorities, to be used for the Swedish national renovations strategy in 2019. This was done by analyzing measured energy usage and renovation investments made during the last 30 years, coupled with building specific official information of buildings and resident area characteristics, for multi-family dwellings in Gothenburg (N = 6319). The statistical analyses show that more costly renovations lead to decreasing energy usage for heating, but buildings that have been renovated during the last decades have a higher energy usage when accounting for current heating system, ownership, and resident socio-economic background. It is appropriate to include an affordability aspect in larger renovation projects since economically disadvantaged groups are over-represented in buildings with poorer energy performance.

ACS Style

Mikael Mangold; Magnus Österbring; Conny Overland; Tim Johansson; Holger Wallbaum. Building Ownership, Renovation Investments, and Energy Performance—A Study of Multi-Family Dwellings in Gothenburg. Sustainability 2018, 10, 1684 .

AMA Style

Mikael Mangold, Magnus Österbring, Conny Overland, Tim Johansson, Holger Wallbaum. Building Ownership, Renovation Investments, and Energy Performance—A Study of Multi-Family Dwellings in Gothenburg. Sustainability. 2018; 10 (5):1684.

Chicago/Turabian Style

Mikael Mangold; Magnus Österbring; Conny Overland; Tim Johansson; Holger Wallbaum. 2018. "Building Ownership, Renovation Investments, and Energy Performance—A Study of Multi-Family Dwellings in Gothenburg." Sustainability 10, no. 5: 1684.

Journal article
Published: 01 October 2017 in Applied Energy
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ACS Style

Tim Johansson; Thomas Olofsson; Mikael Mangold. Development of an energy atlas for renovation of the multifamily building stock in Sweden. Applied Energy 2017, 203, 723 -736.

AMA Style

Tim Johansson, Thomas Olofsson, Mikael Mangold. Development of an energy atlas for renovation of the multifamily building stock in Sweden. Applied Energy. 2017; 203 ():723-736.

Chicago/Turabian Style

Tim Johansson; Thomas Olofsson; Mikael Mangold. 2017. "Development of an energy atlas for renovation of the multifamily building stock in Sweden." Applied Energy 203, no. : 723-736.

Paper
Published: 13 December 2016 in Hydrogeology Journal
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This study developed methodology for statistically assessing groundwater contamination mechanisms. It focused on microbial water pollution in low-income regions. Risk factors for faecal contamination of groundwater-fed drinking-water sources were evaluated in a case study in Juba, South Sudan. The study was based on counts of thermotolerant coliforms in water samples from 129 sources, collected by the humanitarian aid organisation Médecins Sans Frontières in 2010. The factors included hydrogeological settings, land use and socio-economic characteristics. The results showed that the residuals of a conventional probit regression model had a significant positive spatial autocorrelation (Moran’s I = 3.05, I-stat = 9.28); therefore, a spatial model was developed that had better goodness-of-fit to the observations. The most significant factor in this model (p-value 0.005) was the distance from a water source to the nearest Tukul area, an area with informal settlements that lack sanitation services. It is thus recommended that future remediation and monitoring efforts in the city be concentrated in such low-income regions. The spatial model differed from the conventional approach: in contrast with the latter case, lowland topography was not significant at the 5% level, as the p-value was 0.074 in the spatial model and 0.040 in the traditional model. This study showed that statistical risk-factor assessments of groundwater contamination need to consider spatial interactions when the water sources are located close to each other. Future studies might further investigate the cut-off distance that reflects spatial autocorrelation. Particularly, these results advise research on urban groundwater quality. Cette étude a développé une méthodologie pour évaluer du point de vue statistique les mécanismes de contamination des eaux souterraines. Elle met l’accent sur la pollution microbienne des eaux dans des régions à faible revenu. Les facteurs de risque pour la contamination fécale des eaux souterraines alimentation les sources d’alimentation en eau potable sont évalués pour le cas d’étude de Juba, dans le Sud Soudan. Cette étude est basée sur le dénombrement des coliformes thermotolérants dans les échantillons d’eau de 129 sources, recueillis par l’organisation d’aide humanitaire Médecins Sans Frontières en 2010. Les facteurs comprennent les paramètres hydrogéologiques, l’occupation du sol et les caractéristiques socio-économiques. Les résultats montrent que les résidus d’un modèle classique de régression par probit présentaient une autocorrélation spatiale positive significative (Moran’s I = 3.05, I-stat = 9.28). Par conséquent, un modèle spatial a été développé avec une meilleure qualité d’ajustement aux observations. Le facteur le plus significatif de ce modèle (valeur de p 0.005) était la distance entre une source d’eau et la zone de Tukul la plus proche, une zone où les établissements...

ACS Style

Emma Engström; Ulla Mörtberg; Anders Karlström; Mikael Mangold. Applying spatial regression to evaluate risk factors for microbiological contamination of urban groundwater sources in Juba, South Sudan. Hydrogeology Journal 2016, 25, 1077 -1091.

AMA Style

Emma Engström, Ulla Mörtberg, Anders Karlström, Mikael Mangold. Applying spatial regression to evaluate risk factors for microbiological contamination of urban groundwater sources in Juba, South Sudan. Hydrogeology Journal. 2016; 25 (4):1077-1091.

Chicago/Turabian Style

Emma Engström; Ulla Mörtberg; Anders Karlström; Mikael Mangold. 2016. "Applying spatial regression to evaluate risk factors for microbiological contamination of urban groundwater sources in Juba, South Sudan." Hydrogeology Journal 25, no. 4: 1077-1091.

Journal article
Published: 01 July 2016 in Energy and Buildings
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The European building stock was renewed at a rapid pace during the period 1950-1975. In many European countries the building stock from this time needs to be renovated. There is an opportunity to introduce energy efficiency measures in the renovation process, but in this process social aspects should also be taken into account. The purpose of this article is to provide an estimate of the economic and societal challenge of renovating and energy retrofitting the aging building stock. Building specific data on energy usage and previous renovation investments made in the multi-family dwellings in Gothenburg (N = 5 098) is merged with data on tenure type and average income. Based on conducted energy retrofitting projects, costs are estimated for renovating and energy retrofitting multi-family dwellings that will reach the service life of 50 years before 2026. It is found that the pace of renovation needs to increase and that there is risk of increasing societal inequity due to rent increases in renovated buildings.

ACS Style

Mikael Mangold; Magnus Österbring; Holger Wallbaum; Liane Thuvander; Paula Femenias. Socio-economic impact of renovation and energy retrofitting of the Gothenburg building stock. Energy and Buildings 2016, 123, 41 -49.

AMA Style

Mikael Mangold, Magnus Österbring, Holger Wallbaum, Liane Thuvander, Paula Femenias. Socio-economic impact of renovation and energy retrofitting of the Gothenburg building stock. Energy and Buildings. 2016; 123 ():41-49.

Chicago/Turabian Style

Mikael Mangold; Magnus Österbring; Holger Wallbaum; Liane Thuvander; Paula Femenias. 2016. "Socio-economic impact of renovation and energy retrofitting of the Gothenburg building stock." Energy and Buildings 123, no. : 41-49.

Journal article
Published: 01 May 2016 in Energy and Buildings
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Several building-stock modelling techniques have been employed to investigate the impact of energy efficiency measures (EEM), where the description of the building-stock generally consists of an age-type classification to specify building characteristics for groups of buildings. Such descriptions lack the appropriate level of detail to differentiate the potential for EEM within age groups. This paper proposes a methodology for building-stock description using building-specific data and measured energy use to augment an age-type building-stock classification. By integrating building characteristics from energy performance certificates, measured energy use and envelope areas from a 2.5D GIS model, the building-stock description reflects the heterogeneity of the building-stock. The proposed method is validated using a local building portfolio (N = 433) in the city of Gothenburg, where modelled results for space heating and domestic hot water are compared to data from measurements, both on an individual building level and for the entire portfolio. Calculated energy use based on the building-stock description of the portfolio differ less than 3% from measured values, with 42% of the individual buildings being within a 20% margin of measured energy use indicating further work is needed to reduce or quantify the uncertainty on a building level.

ACS Style

Magnus Österbring; Érika Mata; Liane Thuvander; Mikael Mangold; Filip Johnsson; Holger Wallbaum. A differentiated description of building-stocks for a georeferenced urban bottom-up building-stock model. Energy and Buildings 2016, 120, 78 -84.

AMA Style

Magnus Österbring, Érika Mata, Liane Thuvander, Mikael Mangold, Filip Johnsson, Holger Wallbaum. A differentiated description of building-stocks for a georeferenced urban bottom-up building-stock model. Energy and Buildings. 2016; 120 ():78-84.

Chicago/Turabian Style

Magnus Österbring; Érika Mata; Liane Thuvander; Mikael Mangold; Filip Johnsson; Holger Wallbaum. 2016. "A differentiated description of building-stocks for a georeferenced urban bottom-up building-stock model." Energy and Buildings 120, no. : 78-84.

Journal article
Published: 01 September 2015 in Energy and Buildings
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ACS Style

Mikael Mangold; Magnus Österbring; Holger Wallbaum. Handling data uncertainties when using Swedish energy performance certificate data to describe energy usage in the building stock. Energy and Buildings 2015, 102, 328 -336.

AMA Style

Mikael Mangold, Magnus Österbring, Holger Wallbaum. Handling data uncertainties when using Swedish energy performance certificate data to describe energy usage in the building stock. Energy and Buildings. 2015; 102 ():328-336.

Chicago/Turabian Style

Mikael Mangold; Magnus Österbring; Holger Wallbaum. 2015. "Handling data uncertainties when using Swedish energy performance certificate data to describe energy usage in the building stock." Energy and Buildings 102, no. : 328-336.

Journal article
Published: 01 May 2015 in Science of The Total Environment
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In low-income regions, drinking water is often derived from groundwater sources, which might spread diarrheal disease if they are microbiologically polluted. This study aimed to investigate the occurrence of fecal contamination in 147 improved groundwater sources in Juba, South Sudan and to assess potential contributing risk factors, based on bivariate statistical analysis. Thermotolerant coliforms (TTCs) were detected in 66% of the investigated sources, including 95 boreholes, breaching the health-based recommendations for drinking water. A significant association (p<0.05) was determined between the presence of TTCs and the depth of cumulative, long-term prior precipitation (both within the previous five days and within the past month). No such link was found to short-term rainfall, the presence of latrines or damages in the borehole apron. However, the risk factor analysis further suggested, to a lesser degree, that the local topography and on-site hygiene were additionally significant. In summary, the analysis indicated that an important contamination mechanism was fecal pollution of the contributing groundwater, which was unlikely due to the presence of latrines; instead, infiltration from contaminated surface water was more probable. The reduction in fecal sources in the environment in Juba is thus recommended, for example, through constructing latrines or designating protection areas near water sources. The study results contribute to the understanding of microbiological contamination of groundwater sources in areas with low incomes and high population densities, tropical climates and weathered basement complex environments, which are common in urban sub-Saharan Africa.

ACS Style

Emma Engström; Berit Balfors; Ulla Mörtberg; Roger Thunvik; Tarig Gaily; Mikael Mangold. Prevalence of microbiological contaminants in groundwater sources and risk factor assessment in Juba, South Sudan. Science of The Total Environment 2015, 515-516, 181 -187.

AMA Style

Emma Engström, Berit Balfors, Ulla Mörtberg, Roger Thunvik, Tarig Gaily, Mikael Mangold. Prevalence of microbiological contaminants in groundwater sources and risk factor assessment in Juba, South Sudan. Science of The Total Environment. 2015; 515-516 ():181-187.

Chicago/Turabian Style

Emma Engström; Berit Balfors; Ulla Mörtberg; Roger Thunvik; Tarig Gaily; Mikael Mangold. 2015. "Prevalence of microbiological contaminants in groundwater sources and risk factor assessment in Juba, South Sudan." Science of The Total Environment 515-516, no. : 181-187.

Review
Published: 01 January 2015 in The International Journal of Environmental Sustainability
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ACS Style

Mikael Mangold; Holger Wallbaum; Magnus Österbring. A Review of Swedish Residential Building Stock Research. The International Journal of Environmental Sustainability 2015, 10, 1 -17.

AMA Style

Mikael Mangold, Holger Wallbaum, Magnus Österbring. A Review of Swedish Residential Building Stock Research. The International Journal of Environmental Sustainability. 2015; 10 (2):1-17.

Chicago/Turabian Style

Mikael Mangold; Holger Wallbaum; Magnus Österbring. 2015. "A Review of Swedish Residential Building Stock Research." The International Journal of Environmental Sustainability 10, no. 2: 1-17.

Journal article
Published: 08 April 2014 in Water Policy
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Domestic water payment schemes are often a product of their time, place and what is perceived to be customary. Aspects that payment schemes can take into account include resource conservation, equity, maintainability, and profitability. In contemporary Sweden profitable environmentally sustainable solutions are promoted, such as the introduction of volumetric billing of water in rental apartments. This paper describes the detailed consequences of this change in the payment structure for domestic water in terms of reduced resource consumption, direct impact on household economies and perceptions of the system's change process. By combining high-resolution quantitative data on water usage and socio-economic household characteristics with qualitative data from semi-standardized interviews with residents, it is possible to identify the different impacts of the system's change and how the process was experienced. It was shown that while water usage decreased by 30%, 63% of the households had increased monthly costs, and unemployed residents were further disadvantaged and closer to social exclusion. Focusing on making environmental sustainability profitable, as posited in ecological modernization theory, may shadow negative impacts on social sustainability.

ACS Style

Mikael Mangold; Greg Morrison; Robin Harder; Pernilla Hagbert; Sebastien Rauch; Gregory Morrison. The transformative effect of the introduction of water volumetric billing in a disadvantaged housing area in Sweden. Water Policy 2014, 16, 973 -990.

AMA Style

Mikael Mangold, Greg Morrison, Robin Harder, Pernilla Hagbert, Sebastien Rauch, Gregory Morrison. The transformative effect of the introduction of water volumetric billing in a disadvantaged housing area in Sweden. Water Policy. 2014; 16 (5):973-990.

Chicago/Turabian Style

Mikael Mangold; Greg Morrison; Robin Harder; Pernilla Hagbert; Sebastien Rauch; Gregory Morrison. 2014. "The transformative effect of the introduction of water volumetric billing in a disadvantaged housing area in Sweden." Water Policy 16, no. 5: 973-990.

Journal article
Published: 25 February 2014 in Journal of Industrial Ecology
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Quantifying differences in resource use and waste generation between individual households and exploring the reasons for the variations observed implies the need for disaggregated data on household activities and related physical flows. The collection of disaggregated data for water use, gas use, electricity use, and mobility has been reported in the literature and is normally achieved through sensors and computational algorithms. This study focuses on collecting disaggregated data for goods consumption and related waste generation at the level of individual households. To this end, two data collection approaches were devised and evaluated: (1) triangulating shopping receipt analysis and waste component analysis and (2) tracking goods consumption and waste generation using a smartphone. A case study on two households demonstrated that it is possible to collect quantitative data on goods consumption and related waste generation on a per unit basis for individual households. The study suggested that the type of data collected can be relevant in a number of different research contexts: eco‐feedback; user‐centered research; living‐lab research; and life cycle impacts of household consumption. The approaches presented in this study are most applicable in the context of user‐centered or living‐lab research. For the other contexts, alternative data sources (e.g., retailers and producers) may be better suited to data collection on larger samples, though at a lesser level of detail, compared with the two data collection approaches devised and evaluated in this study.

ACS Style

Robin Harder; Yuliya Kalmykova; Gregory M. Morrison; Fen Feng; Mikael Mangold; Lisa Dahlén. Quantification of Goods Purchases and Waste Generation at the Level of Individual Households. Journal of Industrial Ecology 2014, 18, 227 -241.

AMA Style

Robin Harder, Yuliya Kalmykova, Gregory M. Morrison, Fen Feng, Mikael Mangold, Lisa Dahlén. Quantification of Goods Purchases and Waste Generation at the Level of Individual Households. Journal of Industrial Ecology. 2014; 18 (2):227-241.

Chicago/Turabian Style

Robin Harder; Yuliya Kalmykova; Gregory M. Morrison; Fen Feng; Mikael Mangold; Lisa Dahlén. 2014. "Quantification of Goods Purchases and Waste Generation at the Level of Individual Households." Journal of Industrial Ecology 18, no. 2: 227-241.

Journal article
Published: 04 August 2013 in Journal of Applied Social Psychology
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Although research shows that acceptance, trust, and risk perception are often related, little is known about the underlying patterns of causality among the three constructs. In the context of a waterborne disease outbreak, we explored via zero-order/partial correlation analysis whether acceptance predicts both trust and risk perception (associationist model), or whether trust influences risk perception and acceptance (causal chain model). The results supported the causal chain model suggesting a causal role for trust. A subsequent path analysis confirmed that the effect of trust on acceptance is fully mediated by risk perception. It also revealed that trust is positively predicted by prior institutional trust and communication with the public. Implications of the findings for response strategies to contamination events are discussed. © 2013 Wiley Periodicals, Inc

ACS Style

Boyka Bratanova; Greg Morrison; Chris Fife‐Schaw; Jonathan Chenoweth; Mikael Mangold; Gregory Morrison. Restoring drinking water acceptance following a waterborne disease outbreak: the role of trust, risk perception, and communication. Journal of Applied Social Psychology 2013, 43, 1761 -1770.

AMA Style

Boyka Bratanova, Greg Morrison, Chris Fife‐Schaw, Jonathan Chenoweth, Mikael Mangold, Gregory Morrison. Restoring drinking water acceptance following a waterborne disease outbreak: the role of trust, risk perception, and communication. Journal of Applied Social Psychology. 2013; 43 (9):1761-1770.

Chicago/Turabian Style

Boyka Bratanova; Greg Morrison; Chris Fife‐Schaw; Jonathan Chenoweth; Mikael Mangold; Gregory Morrison. 2013. "Restoring drinking water acceptance following a waterborne disease outbreak: the role of trust, risk perception, and communication." Journal of Applied Social Psychology 43, no. 9: 1761-1770.

Journal article
Published: 06 May 2013 in Sustainability
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As global and local visions for sustainable living environments are increasingly supported by policies and concrete practices in construction, the building and housing sector is seeking to mitigate its environmental impact as well as assume a greater social responsibility. The overarching policy objectives set to concretize what a sustainable housing development entails, however, tend to rely on equivocal terminology, allowing a varied interpretation by key industry practitioners. Though in line with an ecological modernization paradigm in policy, the promotion of a market-driven environmentalism in housing faces multiple challenges as varying interests and perspectives collide. Supported by empirical findings of a semi-structured interview study conducted with housing developers in a new ‘green’ urban district in Göteborg, Sweden, theoretical frameworks surrounding the paradoxical path towards a sustainable housing development are presented. Inconsistencies between outspoken ambitions; social dimensions; and the framing of efficiency in new housing are discussed. Possibilities for the housing sector are given in the recognition of new forms of development, where a systemic perspective is required in the alignment between how industry, policy and the market perceives housing development and what is actually sustainable.

ACS Style

Pernilla Hagbert; Mikael Mangold; Paula Femenías. Paradoxes and Possibilities for a ‘Green’ Housing Sector: A Swedish Case. Sustainability 2013, 5, 2018 -2035.

AMA Style

Pernilla Hagbert, Mikael Mangold, Paula Femenías. Paradoxes and Possibilities for a ‘Green’ Housing Sector: A Swedish Case. Sustainability. 2013; 5 (5):2018-2035.

Chicago/Turabian Style

Pernilla Hagbert; Mikael Mangold; Paula Femenías. 2013. "Paradoxes and Possibilities for a ‘Green’ Housing Sector: A Swedish Case." Sustainability 5, no. 5: 2018-2035.