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COVID-19-Adapted Multi-Functional Corniche Street Design Assessment Model: Applying Global Sensitivity Analysis (GSA) and Adaptability Analysis Methods

Author

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  • Arezou Shafaghat

    (Department of Construction Management, College of Architecture and Construction Management, Kennesaw State University, Marietta, GA 30060, USA
    Department of Architecture, College of Architecture and Construction Management, Kennesaw State University, Marietta, GA 30060, USA)

  • Salim Ferwati

    (Department of Architecture and Urban Planning, College of Engineering, Qatar University, Doha 2713, Qatar)

  • Ali Keyvanfar

    (Department of Construction Management, College of Architecture and Construction Management, Kennesaw State University, Marietta, GA 30060, USA)

Abstract

The world-shaking communicable coronavirus disease (i.e., COVID-19) has become a pandemic threat to a healthy built environment. This study aimed to develop the COVID-19-adapted multi-functional corniche street design (Ca-MCSD) assessment model. Accordingly, this study identified variables coordinating the local environmental, physical, social, cultural, and political mediations of multi-functional corniche street design. Secondly, it measured the weight of every single variable through confirmatory analysis, normalization, and standardization techniques, and an expert-input study then developed the MCSD model and Ca-MCSD model. This study validated the models through a case study (i.e., Al Wakrah corniche street in Dubai, Qatar) and conducted ANOVA regression analysis and global sensitivity analysis (GSA). The Ca-MCSD model evaluates the design quality of a corniche street across five criteria—inclusiveness, desirable activities, safety, comfort, and pleasurability—and forty-two sub-criteria. The regression analysis determined that the MCSD model and Ca-MCSD model are linearly and positively correlated (Y = 0.811777X + 0.383401), where the Pearson regression coefficient (r) equaled 0.903729, r 2 equaled 0.816727, and the p -value was 0.025 with 95% confidence intervals. The research found that, before the COVID-19 pandemic, microclimate comfort (avW Sc.3.4 = 7.880), community gathering places (Sc.2.1), availability of foods (Sc.2.4), appropriate maintenance and physical condition (Sc.3.6), and attractiveness of space (Sc.5.8) (avW = 6.000) played critical roles in designing a multi-functional corniche street. However, after the onset of the COVID-19 pandemic, the key drivers changed to microclimate comfort (favW Sc.3.4 = 12.632), appropriate maintenance and physical condition (favW Sc.3.6 = 9.618), physical/visual connection or openness to adjacent spaces (favW Sc.4.1 = 4.809), and over-securitization (favW Sc.4.1 = 4.287).

Suggested Citation

  • Arezou Shafaghat & Salim Ferwati & Ali Keyvanfar, 2022. "COVID-19-Adapted Multi-Functional Corniche Street Design Assessment Model: Applying Global Sensitivity Analysis (GSA) and Adaptability Analysis Methods," Sustainability, MDPI, vol. 14(17), pages 1-27, September.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:17:p:10940-:d:904383
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    References listed on IDEAS

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