IDEAS home Printed from https://ideas.repec.org/a/sae/envirb/v49y2022i3p1024-1047.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/23998083211037350
    Download Restriction: no
    File URL: https://libkey.io/10.1177/23998083211037350?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hausman, Catherine & Stolper, Samuel, 2021. "Inequality, information failures, and air pollution," Journal of Environmental Economics and Management, Elsevier, vol. 110(C).
    2. Hung‐Chih Hung & Tzu‐Wen Wang, 2011. "Determinants and Mapping of Collective Perceptions of Technological Risk: The Case of the Second Nuclear Power Plant in Taiwan," Risk Analysis, John Wiley & Sons, vol. 31(4), pages 668-683, April.
    3. Cling, Jean-Pierre & Delecourt, Clément, 2022. "Interlinkages between the Sustainable Development Goals," World Development Perspectives, Elsevier, vol. 25(C).
    4. Delimiro Visbal-Cadavid & Mónica Martínez-Gómez & Rolando Escorcia-Caballero, 2020. "Exploring University Performance through Multiple Factor Analysis: A Case Study," Sustainability, MDPI, vol. 12(3), pages 1-24, January.
    5. Florence Jacquet & A Aboul-Naga & Bernard Hubert, 2020. "The contribution of ARIMNet to address livestock systems resilience in the Mediterranean region," Post-Print hal-03625860, HAL.
    6. Zeynep Altinay & Eric Rittmeyer & Lauren L. Morris & Margaret A. Reams, 2021. "Public risk salience of sea level rise in Louisiana, United States," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 11(4), pages 523-536, December.
    7. Rauf Ahmad, M., 2019. "A significance test of the RV coefficient in high dimensions," Computational Statistics & Data Analysis, Elsevier, vol. 131(C), pages 116-130.
    8. Kevin Fox Gotham & Richard Campanella & Katie Lauve‐Moon & Bradford Powers, 2018. "Hazard Experience, Geophysical Vulnerability, and Flood Risk Perceptions in a Postdisaster City, the Case of New Orleans," Risk Analysis, John Wiley & Sons, vol. 38(2), pages 345-356, February.
    9. Grothe, Oliver & Schnieders, Julius & Segers, Johan, 2013. "Measuring Association and Dependence Between Random Vectors," LIDAM Discussion Papers ISBA 2013026, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    10. Roberta De Vito & Ruggero Bellio & Lorenzo Trippa & Giovanni Parmigiani, 2019. "Multi‐study factor analysis," Biometrics, The International Biometric Society, vol. 75(1), pages 337-346, March.
    11. Zhihua Xu & Jingzhu Shan, 2018. "The effect of risk perception on willingness to pay for reductions in the health risks posed by particulate matter 2.5: A case study of Beijing, China," Energy & Environment, , vol. 29(8), pages 1319-1337, December.
    12. Carmen C. Rodríguez-Martínez & Mitzi Cubilla-Montilla & Purificación Vicente-Galindo & Purificación Galindo-Villardón, 2023. "X-STATIS: A Multivariate Approach to Characterize the Evolution of E-Participation, from a Global Perspective," Mathematics, MDPI, vol. 11(6), pages 1-15, March.
    13. Dorota Toczydlowska & Gareth W. Peters, 2018. "Financial Big Data Solutions for State Space Panel Regression in Interest Rate Dynamics," Econometrics, MDPI, vol. 6(3), pages 1-45, July.
    14. Zhiwei Wang & Qiang Liu & Bo Hou, 2022. "How Does Government Information Service Quality Influence Public Environmental Awareness?," IJERPH, MDPI, vol. 20(1), pages 1-15, December.
    15. Reza Salimi & Kamran Pakizeh, 2024. "The extension of Pearson correlation coefficient, measuring noise, and selecting features," Papers 2402.00543, arXiv.org.
    16. Eoin O'Neill & Finbarr Brereton & Harutyun Shahumyan & J. Peter Clinch, 2016. "The Impact of Perceived Flood Exposure on Flood‐Risk Perception: The Role of Distance," Risk Analysis, John Wiley & Sons, vol. 36(11), pages 2158-2186, November.
    17. Dalia M. Muñoz-Pizza & Mariana Villada-Canela & M. A. Reyna & José Luis Texcalac-Sangrador & Jesús Serrano-Lomelin & Álvaro Osornio-Vargas, 2020. "Assessing the Influence of Socioeconomic Status and Air Pollution Levels on the Public Perception of Local Air Quality in a Mexico-US Border City," IJERPH, MDPI, vol. 17(13), pages 1-22, June.
    18. Jamaludin, Husna & Patunru, Arianto & Lahiri-Dutt, Kuntala, 2020. "Role of rumours and locals’ perceptions on the level of environmental impacts of Lynas Advanced Material Plant, Kuantan, Malaysia," Resources Policy, Elsevier, vol. 65(C).
    19. Aistė Balžekienė & Audronė Telešienė & Vaidas Morkevičius, 2022. "Spatial Dependencies and the Relationship between Subjective Perception and Objective Environmental Risks in Lithuania," Sustainability, MDPI, vol. 14(7), pages 1-15, March.
    20. Wim Kellens & Ruud Zaalberg & Tijs Neutens & Wouter Vanneuville & Philippe De Maeyer, 2011. "An Analysis of the Public Perception of Flood Risk on the Belgian Coast," Risk Analysis, John Wiley & Sons, vol. 31(7), pages 1055-1068, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:envirb:v:49:y:2022:i:3:p:1024-1047. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.