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Cross-analysis for the assessment of urban environmental quality: An interdisciplinary and participative approach

Author

Listed:
  • Haouès-Jouve Sinda

    (University of Toulouse Jean Jaurès, France)

  • Lemonsu Aude

    (Meteo-France, France)

  • Gauvrau Benoit

    (IFSTTAR, France)

  • Amossé Alexandre

    (Meteo-France, France)

  • Can Arnaud

    (IFSTTAR, France)

  • Carrissimo Bertrand

    (CEREA, France)

  • Gaudio Noémie

    (University of Toulouse Jean Jaurès, France)

  • Hidalgo Julia
  • Lopez-Rieu Claudia
  • Chouillou Delphine

    (University of Toulouse Jean Jaurès, France)

  • Richard Isabelle

    (LAVUE, France)

  • Adolphe Luc

    (INSA, France)

  • Berry-Chikhaoui Isabelle

    (ART-Dev, France)

  • Bouyer Julien

    (CEREMA, France)

  • Challéat Samuel

    (GEODE, France)

  • De Munck Cécile

    (Meteo-France, France)

  • Dorier Elisabeth

    (LPED, France)

  • Guillaume Gwenael

    (CEREMA Direction territoriale Est, France)

  • Hooneart Sophie

    (LPED, France)

  • Le Bras Julien
  • Legain Dominique

    (Meteo-France, France)

  • Levy Jean-Pierre

    (CNRS, France)

  • Masson Valéry

    (Météo-France CNRS, France)

  • Marry Solène

    (ADEME Centre de Paris, France)

  • Nguyen-Luong Danny

    (Institut d'aménagement et d'urbanisme, France)

  • Rojas-Arias Juan-Carlos

    (ENSAT, France)

  • Zhenlan Gao

Abstract

The goal of this research is to assess environmental quality at the neighbourhood level through a multi-dimensional and multi-sensory approach that combines social and physical methodologies. For this purpose, an interdisciplinary protocol has been designed to simultaneously collect physical parameter measurements (related to microclimate and acoustics) and survey data on perceptions (involving residents and non-residents). The cross-referenced analysis of data collected at six contrasting places in a district in Toulouse (France) enabled us (i) to better understand and prioritise the factors that influence residents' assessment of the quality of their living environment and (ii) to understand to what extent the differentiation of the places by the inhabitants converges with the differentiation of these places based on acoustic and micrometeorological measurements. The statistical analysis based on individuals showed the importance of noise and air quality that rank just after the aesthetic dimension for all respondents. Nevertheless, the quality of maintenance and the feeling of security that the place inspires seem to be as crucial as these environmental criteria for the inhabitants. The analysis focused on the sites highlighted the consistency between the typology of places based on perceptions and that based on acoustic measurements, which confirms the high inhabitants' sensitivity to this environmental component.

Suggested Citation

  • Haouès-Jouve Sinda & Lemonsu Aude & Gauvrau Benoit & Amossé Alexandre & Can Arnaud & Carrissimo Bertrand & Gaudio Noémie & Hidalgo Julia & Lopez-Rieu Claudia & Chouillou Delphine & Richard Isabelle, 2022. "Cross-analysis for the assessment of urban environmental quality: An interdisciplinary and participative approach," Environment and Planning B, , vol. 49(3), pages 1024-1047, March.
    • Handle: RePEc:sae:envirb:v:49:y:2022:i:3:p:1024-1047
    DOI: 10.1177/23998083211037350
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    References listed on IDEAS

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    1. Wonyoung Yang & Hyeun Jun Moon & Jin Yong Jeon, 2019. "Comparison of Response Scales as Measures of Indoor Environmental Perception in Combined Thermal and Acoustic Conditions," Sustainability, MDPI, vol. 11(14), pages 1-26, July.
    2. Samuel D. Brody & B. Mitchell Peck & Wesley E. Highfield, 2004. "Examining Localized Patterns of Air Quality Perception in Texas: A Spatial and Statistical Analysis," Risk Analysis, John Wiley & Sons, vol. 24(6), pages 1561-1574, December.
    3. P. Robert & Y. Escoufier, 1976. "A Unifying Tool for Linear Multivariate Statistical Methods: The RV‐Coefficient," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 25(3), pages 257-265, November.
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