A decision support tool for a walkable integrated neighbourhood design using a multicriteria decision-making method

Keyvanfar, Ali; Shafaghat, Arezou; Lamit, Hasanuddin

doi:10.20858/sjsutst.2018.100.5

Cited by 2 publications

(2 citation statements)

References 18 publications

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“…Among all the studies, only 10 (36%) reported decision support processes that existed in digital formats. A range of methods were employed in the development of these decision frameworks, models, and tools, including stakeholder engagement [45][46][47][48], literature reviews [49][50][51][52], primary data collection [43,44,53], and secondary data analysis [54][55][56][57][58][59][60][61]. Some studies combined methods, such as utilizing both literature reviews and primary data [62,63], both literature reviews and secondary data [64][65][66], both stakeholder engagement and secondary data [67], and both primary and secondary data [68].…”

Section: Description Of Tools and Frameworkmentioning

confidence: 99%

“…Nevertheless, only one of these, namely, the community health framework [56], provided a comprehensive integration of multiple aspects of health benefits, albeit without considering the environmental and economic dimensions of trees and greenspace benefits. Another tool that exclusively concentrated on health benefits was the WIND tool for assessing walkability [53]. Importantly, the remaining 16 out of 18 frameworks/models/tools in this category extended their scope to incorporate at least one aspect of environmental or economic benefits alongside the health dimension.…”

Section: Health Benefitsmentioning

confidence: 99%

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A Scoping Review of Urban Planning Decision Support Tools and Processes That Account for the Health, Environment, and Economic Benefits of Trees and Greenspace

Tefera,

Soebarto,

Bishop

et al. 2023

IJERPH

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Compelling evidence shows that trees and greenspaces positively impact human well-being and the environment and offer economic benefits. Nevertheless, there exists a knowledge gap regarding the extent to which this evidence is efficiently incorporated into existing urban planning decision-making processes. This scoping review identified the extent to which urban planning decision-making frameworks, models, and tools consider the health, environmental, and economic benefits of trees and greenspace. Out of 28 reviewed studies, 11 (39%) reported on frameworks, models, and tools that take into account the health, environmental, and economic dimensions of trees and greenspace. Additionally, seven studies provided comprehensive coverage of at least one of the three key dimensions. However, none of the decision support frameworks, models, or tools comprehensively integrated all three dimensions, with only two tools (7%) scoring above 50% (five or more out of nine) in terms of comprehensiveness. This review highlights the urgent need to incorporate the true economic and monetary values of the health and environmental benefits of trees and greenspace to inform urban development decision making.

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Section: Description Of Tools and Frameworkmentioning

confidence: 99%

Section: Health Benefitsmentioning

confidence: 99%

A Scoping Review of Urban Planning Decision Support Tools and Processes That Account for the Health, Environment, and Economic Benefits of Trees and Greenspace

Tefera,

Soebarto,

Bishop

et al. 2023

IJERPH

View full text Add to dashboard Cite

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

2022

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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, r2 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 (avWSc.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 (favWSc.3.4 = 12.632), appropriate maintenance and physical condition (favWSc.3.6 = 9.618), physical/visual connection or openness to adjacent spaces (favWSc.4.1 = 4.809), and over-securitization (favWSc.4.1 = 4.287).

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A decision support tool for a walkable integrated neighbourhood design using a multicriteria decision-making method

Cited by 2 publications

References 18 publications

A Scoping Review of Urban Planning Decision Support Tools and Processes That Account for the Health, Environment, and Economic Benefits of Trees and Greenspace

A Scoping Review of Urban Planning Decision Support Tools and Processes That Account for the Health, Environment, and Economic Benefits of Trees and Greenspace

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

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