Potentials for increasing resident wellbeing in energy renovation of multi-family social housing

2021 ◽  
pp. 1420326X2110398
Author(s):  
S. R. Jensen ◽  
C. Gabel ◽  
S. Petersen ◽  
P. H. Kirkegaard

The paper explores potentials for increasing residents' wellbeing in multi-family social housing (MSH) undergoing energy renovation. The renovation measures needed to reach national and global climate goals are often not financially feasible when viewed in isolation. Therefore, it is relevant to identify potentials for added value, which can justify more extensive measures. This paper is based on the hypothesis that every renovation project holds potentials for added value in terms of increased resident wellbeing. Further, that it is crucial to extend current understandings of wellbeing beyond single, quantitative wellbeing parameters in order to promote more holistic, long-term sustainable renovation solutions. The paper sheds light on potentials for increased resident wellbeing based on an analysis of residents’ experience and satisfaction with gestures in the existing built environment and comparing these findings to their perceived health. The analysis is based on data collected through a mixed-methods approach in three MSH areas facing extensive renovation. The findings demonstrate and exemplify that energy renovation measures may influence a number of interrelated physiological, mental and social wellbeing aspects across scales. As such, the paper contributes with new insights, which can help promote previously neglected aspects of resident wellbeing in future energy renovation design processes.

2015 ◽  
Vol 8 (4) ◽  
pp. 1673-1684 ◽  
Author(s):  
G. E. Bodeker ◽  
S. Kremser

Abstract. The Global Climate Observing System (GCOS) Reference Upper Air Network (GRUAN) provides reference quality RS92 radiosonde measurements of temperature, pressure and humidity. A key attribute of reference quality measurements, and hence GRUAN data, is that each datum has a well characterized and traceable estimate of the measurement uncertainty. The long-term homogeneity of the measurement records, and their well characterized uncertainties, make these data suitable for reliably detecting changes in global and regional climate on decadal time scales. Considerable effort is invested in GRUAN operations to (i) describe and analyse all sources of measurement uncertainty to the extent possible, (ii) quantify and synthesize the contribution of each source of uncertainty to the total measurement uncertainty, and (iii) verify that the evaluated net uncertainty is within the required target uncertainty. However, if the climate science community is not sufficiently well informed on how to capitalize on this added value, the significant investment in estimating meaningful measurement uncertainties is largely wasted. This paper presents and discusses the techniques that will need to be employed to reliably quantify long-term trends in GRUAN data records. A pedagogical approach is taken whereby numerical recipes for key parts of the trend analysis process are explored. The paper discusses the construction of linear least squares regression models for trend analysis, boot-strapping approaches to determine uncertainties in trends, dealing with the combined effects of autocorrelation in the data and measurement uncertainties in calculating the uncertainty on trends, best practice for determining seasonality in trends, how to deal with co-linear basis functions, and interpreting derived trends. Synthetic data sets are used to demonstrate these concepts which are then applied to a first analysis of temperature trends in RS92 radiosonde upper air soundings at the GRUAN site at Lindenberg, Germany (52.21° N, 14.12° E).


2018 ◽  
Vol 29 (1) ◽  
pp. 284-302
Author(s):  
Lucy Annang Ingram ◽  
Chiwoneso B. Tinago ◽  
Bo Cai ◽  
Louisiana Wright Sanders ◽  
Tina Bevington ◽  
...  

2020 ◽  
Vol 12 (21) ◽  
pp. 9263
Author(s):  
Isabelle Soares ◽  
Claudia Yamu ◽  
Gerd Weitkamp

To date, little is known about the spatial aspects of the creativity of university campuses and their public spaces. This study recognises that creativity is the fourth sustainability, because the spatial configuration of campuses and city-university accessibilities are ‘creative solutions’ conceived for human needs. At the same time, creative ideas depend on interactions between individuals and the built environment. Therefore, based on the theoretical framework of the scholars who have explored the spatial aspects of creativity, this study empirically investigates Zernike Campus, Groningen, and its public spaces using a mixed-methods approach that involves (1) a space syntax analysis of the campus’s spatial configuration, (2) volunteered geographic information (VGI) of the users’ perceptions, and (3) non-participatory observations of the interactions between people and the built environment in public spaces with high and low ‘potential for creativity’. The results show that creativity cannot be explained simply by analysing spatial configurations, but that it also depends on the combination of the land-use mix, physical features, positive experiences, and perceptions of a sense of place which enable trust and interactions, and which facilitate creative encounters. Therefore, the mixed-methods approach applied here can help urban planners and designers to address public spaces more effectively, integrating conditions that support creativity.


2012 ◽  
Vol 15 (3-4) ◽  
pp. 195
Author(s):  
Jacob Nowinski ◽  
Gay Swaite ◽  
Adrian Hunnisett ◽  
Christina Cunliffe

2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Lisa A. Cranley ◽  
Matthias Hoben ◽  
Jasper Yeung ◽  
Carole A. Estabrooks ◽  
Peter G. Norton ◽  
...  

2014 ◽  
Vol 7 (12) ◽  
pp. 11957-11989
Author(s):  
G. E. Bodeker ◽  
S. Kremser

Abstract. The Global Climate Observing System (GCOS) Reference Upper Air Network (GRUAN) provides reference quality RS92 radiosonde measurements of temperature, pressure and humidity. A key attribute of reference quality measurements, and hence GRUAN data, is that each datum has a well characterised and traceable estimate of the measurement uncertainty. The long-term homogeneity of the measurement records, and their well characterised uncertainties, make these data suitable for reliably detecting changes in global and regional climate on decadal time scales. Considerable effort is invested in GRUAN operations to (i) describe and analyse all sources of measurement uncertainty to the extent possible, (ii) quantify and synthesize the contribution of each source of uncertainty to the total measurement uncertainty, and (iii) verify that the evaluated net uncertainty is within the required target uncertainty. However, if the climate science community is not sufficiently well informed on how to capitalize on this added value, the significant investment in estimating meaningful measurement uncertainties is largely wasted. This paper presents and discusses the techniques that will need to be employed to reliably quantify long-term trends in GRUAN data records. A pedagogical approach is taken whereby numerical recipes for key parts of the trend analysis process are explored. The paper discusses the construction of linear least squares regression models for trend analysis, boot-strapping approaches to determine uncertainties in trends, dealing with the combined effects of autocorrelation in the data and measurement uncertainties in calculating the uncertainty on trends, best practice for determining seasonality in trends, how to deal with co-linear basis functions, and interpreting derived trends. Synthetic data sets are used to demonstrate these concepts which are then applied to a first analysis of temperature trends in RS92 radiosonde upper air soundings at the GRUAN site at Lindenberg, Germany (52.21° N, 14.12° E).


2018 ◽  
Vol 6 (4) ◽  
pp. e48 ◽  
Author(s):  
Sung Wook Kim ◽  
Jason Madan ◽  
Melina Dritsaki ◽  
Carol Bryce ◽  
Vera Forjaz ◽  
...  

The Breast ◽  
2019 ◽  
Vol 46 ◽  
pp. 126-135 ◽  
Author(s):  
Ragna Stalsberg ◽  
Terje Andreas Eikemo ◽  
Steinar Lundgren ◽  
Randi Johansen Reidunsdatter

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