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Development of a Quantitative Methodology to Assess the Impacts of Urban Transport Interventions and Related Noise on Well-Being

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  • Matthias Braubach

    (European Centre for Environment and Health, World Health Organization (WHO) Regional Office for Europe, Platz der Vereinten Nationen 1, 53113 Bonn, Germany)

  • Myriam Tobollik

    (Federal Environment Agency, Section II 1.6 Exposure Assessment and Environmental Health Indicators, 14195 Berlin, Germany)

  • Pierpaolo Mudu

    (European Centre for Environment and Health, World Health Organization (WHO) Regional Office for Europe, Platz der Vereinten Nationen 1, 53113 Bonn, Germany)

  • Rosemary Hiscock

    (School of Geographical Sciences, University of Bristol, University Road, Bristol BS8 1SS, UK)

  • Dimitris Chapizanis

    (Department of Chemical Engineering, Aristotle University of Thessaloniki, Environmental Engineering Laboratory, 54124 Thessaloniki, Greece)

  • Denis A. Sarigiannis

    (Department of Chemical Engineering, Aristotle University of Thessaloniki, Environmental Engineering Laboratory, 54124 Thessaloniki, Greece)

  • Menno Keuken

    (Netherlands Organisation for Applied Scientific Research (TNO), 3508 TA Utrecht, The Netherlands)

  • Laura Perez

    (Swiss Tropical and Public Health Institute, Socinstr. 57, 4002 Basel, Switzerland
    University of Basel, Peterspl. 1, 4003 Basel, Switzerland)

  • Marco Martuzzi

    (European Centre for Environment and Health, World Health Organization (WHO) Regional Office for Europe, Platz der Vereinten Nationen 1, 53113 Bonn, Germany)

Abstract

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.

Suggested Citation

  • Matthias Braubach & Myriam Tobollik & Pierpaolo Mudu & Rosemary Hiscock & Dimitris Chapizanis & Denis A. Sarigiannis & Menno Keuken & Laura Perez & Marco Martuzzi, 2015. "Development of a Quantitative Methodology to Assess the Impacts of Urban Transport Interventions and Related Noise on Well-Being," IJERPH, MDPI, vol. 12(6), pages 1-23, May.
  • Handle: RePEc:gam:jijerp:v:12:y:2015:i:6:p:5792-5814:d:50133
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    References listed on IDEAS

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    1. Bernard M. S. van Praag & Barbara E. Baarsma, 2005. "Using Happiness Surveys to Value Intangibles: The Case of Airport Noise," Economic Journal, Royal Economic Society, vol. 115(500), pages 224-246, January.
    2. Eja Pedersen, 2015. "City Dweller Responses to Multiple Stressors Intruding into Their Homes: Noise, Light, Odour, and Vibration," IJERPH, MDPI, vol. 12(3), pages 1-18, March.
    3. Rosemary Hiscock & Pierpaolo Mudu & Matthias Braubach & Marco Martuzzi & Laura Perez & Clive Sabel, 2014. "Wellbeing Impacts of City Policies for Reducing Greenhouse Gas Emissions," IJERPH, MDPI, vol. 11(12), pages 1-34, November.
    4. Natalie Riedel & Heike K�ckler & Joachim Scheiner & Klaus Berger, 2015. "Objective exposure to road traffic noise, noise annoyance and self-rated poor health - framing the relationship between noise and health as a matter of multiple stressors and resources in urban neighb," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 58(2), pages 336-356, February.
    5. Rehdanz, Katrin & Maddison, David, 2008. "Local environmental quality and life-satisfaction in Germany," Ecological Economics, Elsevier, vol. 64(4), pages 787-797, February.
    6. Jan Urban & Vojtěch Máca, 2013. "Linking Traffic Noise, Noise Annoyance and Life Satisfaction: A Case Study," IJERPH, MDPI, vol. 10(5), pages 1-21, May.
    7. Natalie Riedel & Joachim Scheiner & Grit M�ller & Heike K�ckler, 2014. "Assessing the relationship between objective and subjective indicators of residential exposure to road traffic noise in the context of environmental justice," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 57(9), pages 1398-1421, September.
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    Cited by:

    1. Miaomiao Liu & Yining Huang & Rosemary Hiscock & Qin Li & Jun Bi & Patrick L. Kinney & Clive E. Sabel, 2016. "Do Climate Change Policies Promote or Conflict with Subjective Wellbeing: A Case Study of Suzhou, China," IJERPH, MDPI, vol. 13(3), pages 1-16, March.
    2. Guillermo Rey Gozalo & Juan Miguel Barrigón Morillas, 2016. "Analysis of Sampling Methodologies for Noise Pollution Assessment and the Impact on the Population," IJERPH, MDPI, vol. 13(5), pages 1-18, May.

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