Wohnumwelt und Pflegebedürftigkeit im Alter
In: Veröffentlichungsreihe des Instituts für Pflegewissenschaft an der Universität Bielefeld (IPW) P 03,119
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In: Veröffentlichungsreihe des Instituts für Pflegewissenschaft an der Universität Bielefeld (IPW) P 03,119
Well-being impact assessments of urban interventions are a difficult challenge, as there is no agreed methodology and scarce evidence on the relationship between environmental conditions and well-being. The European Union (EU) project "Urban Reduction of Greenhouse Gas Emissions in China and Europe" (URGENCHE) explored a methodological approach to assess traffic noise-related well-being impacts of transport interventions in three European cities (Basel, Rotterdam and Thessaloniki) linking modeled traffic noise reduction effects with survey data indicating noise-well-being associations. Local noise models showed a reduction of high traffic noise levels in all cities as a result of different urban interventions. Survey data indicated that perception of high noise levels was associated with lower probability of well-being. Connecting the local noise exposure profiles with the noise-well-being associations suggests that the urban transport interventions may have a marginal but positive effect on population well-being. This paper also provides insight into the methodological challenges of well-being assessments and highlights the range of limitations arising from the current lack of reliable evidence on environmental conditions and well-being. Due to these limitations, the results should be interpreted with caution.
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In: Braubach , M , Tobollik , M , Mudu , P , Hiscock , R , Chapizanis , D , Sarigiannis , D A , Keuken , M , Perez , L & Martuzzi , M 2015 , ' Development of a quantitative methodology to assess the impacts of urban transport interventions and related noise on well-being ' , International Journal of Environmental Research and Public Health , vol. 12 , no. 6 , pp. 5792-5814 . https://doi.org/10.3390/ijerph120605792
Well-being impact assessments of urban interventions are a difficult challenge, as there is no agreed methodology and scarce evidence on the relationship between environmental conditions and well-being. The European Union (EU) project "Urban Reduction of Greenhouse Gas Emissions in China and Europe" (URGENCHE) explored a methodological approach to assess traffic noise-related well-being impacts of transport interventions in three European cities (Basel, Rotterdam and Thessaloniki) linking modeled traffic noise reduction effects with survey data indicating noise-well-being associations. Local noise models showed a reduction of high traffic noise levels in all cities as a result of different urban interventions. Survey data indicated that perception of high noise levels was associated with lower probability of well-being. Connecting the local noise exposure profiles with the noise-well-being associations suggests that the urban transport interventions may have a marginal but positive effect on population well-being. This paper also provides insight into the methodological challenges of well-being assessments and highlights the range of limitations arising from the current lack of reliable evidence on environmental conditions and well-being. Due to these limitations, the results should be interpreted with caution.
BASE
In: Braubach , M , Tobollik , M , Mudu , P , Hiscock , R , Chapizanis , D , Sarigiannis , D A , Keuken , M , Perez , L & Martuzzi , M 2015 , ' Development of a quantitative methodology to assess the impacts of urban transport interventions and related noise on well-being ' , International Journal of Environmental Research and Public Health , vol. 12 , no. 6 , pp. 5792-5814 . https://doi.org/10.3390/ijerph120605792
Well-being impact assessments of urban interventions are a difficult challenge, as there is no agreed methodology and scarce evidence on the relationship between environmental conditions and well-being. The European Union (EU) project "Urban Reduction of Greenhouse Gas Emissions in China and Europe" (URGENCHE) explored a methodological approach to assess traffic noise-related well-being impacts of transport interventions in three European cities (Basel, Rotterdam and Thessaloniki) linking modeled traffic noise reduction effects with survey data indicating noise-well-being associations. Local noise models showed a reduction of high traffic noise levels in all cities as a result of different urban interventions. Survey data indicated that perception of high noise levels was associated with lower probability of well-being. Connecting the local noise exposure profiles with the noise-well-being associations suggests that the urban transport interventions may have a marginal but positive effect on population well-being. This paper also provides insight into the methodological challenges of well-being assessments and highlights the range of limitations arising from the current lack of reliable evidence on environmental conditions and well-being. Due to these limitations, the results should be interpreted with caution.
BASE