Assessment of green space benefits and burdens for urban health with spatial modeling

Oosterbroek, Bram; Kraker, Joop de; Huynen, Maud; Martens, Pim; Verhoeven, Koen J. F.

doi:10.1016/j.ufug.2023.128023

Cited by 7 publications

(16 citation statements)

References 122 publications

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“…For each of four UGS design scenarios, including two alternative greening strategy scenarios, the indicator values of five health determinants were estimated with the spatial model described in Oosterbroek et al (2023). These five health determinants concerned 'Unattractive views', 'Heat stress', 'Air pollution', 'Perceived unsafety', and 'Tick-bite risk'.…”

Section: Scenario Study Approach and Input Datamentioning

confidence: 99%

“…To generate the UGS design for the 'Optimized greenspace locations' scenario, a module was added to the original model (Figure 1). Further information on the model, as well a detailed description of the five health determinants included can be found in Oosterbroek et al (2023). To run the spatial model, we used several input datasets that are all publicly available for the full Dutch territory and that are often high in resolution (< 1 m).…”

Section: Scenario Study Approach and Input Datamentioning

confidence: 99%

“…To run the spatial model, we used several input datasets that are all publicly available for the full Dutch territory and that are often high in resolution (< 1 m). See Oosterbroek et al (2023) for a more elaborate description of the input data.…”

Section: Scenario Study Approach and Input Datamentioning

confidence: 99%

“…We used data of year 2018 for all datasets. For a further description of Maastricht, reasons to focus on Maastricht and its health situation related to the assessed health benefits and burdens, see Oosterbroek et al (2023). See Figure 2 for a map of the study area, the borders of the buffered built-up area for geo-processing and the location of the example areas that we use to visualize results.…”

Section: Scenario Study Approach and Input Datamentioning

confidence: 99%

“…A spatial model named Urban-EcoMATCH (Urban Ecosystems Mapping and Assessment Tool of Costs and Benefits for Health), presented in Oosterbroek et al (2023), however, offers the possibility to support the development of 'healthy' urban greening strategies in an integrated, quantitative, and context-specific way, accounting for multiple health benefits as well as burdens. In this study, the model is applied to assess the performance of alternative UGS design scenarios as compared to the current situation.…”

Section: Introductionmentioning

confidence: 99%

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Integrated Assessment of Health Benefits and Burdens of Urban Greenspace Designs

Oosterbroek,

de Kraker,

Huynen

et al. 2024

Preprint

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Spatial planners are nowadays strongly interested in the benefits of greenspace for the health of urban residents. However, concrete and context-specific guidance on effective greening strategies is still lacking. We present a novel, model-based approach to support the development of such strategies. The approach is quantitative and spatially-explicit, and accounts for multiple health benefits as well as burdens. In this study, we applied the approach to the city of Maastricht (The Netherlands), and conducted an integrated, city-scale assessment of the health benefits and burdens of four urban greenspace designs. These included: ‘No greenspace’, ‘Current greenspace’, ‘Green parking lots and squares’, and ‘Optimized greenspace locations’. For each greenspace design, indicator values were calculated for five health determinants: heat stress, air pollution, perceived unsafety, unattractive views, and tick-bite risk. To assess the health contribution of urban greenspace in a given design, these indicator values were compared with the values in the ‘No greenspace’ design. The study produced clear, quantitative conclusions about the health benefits and burdens of the urban greenspace designs for the case of Maastricht, but also generated novel, more general insights relevant to planning of urban greenspace for health. These insights concern the importance of translating health policy objectives into specific target values or thresholds, and the importance of ‘smart’ choices in greenspace type and location that can effectively reduce trade-offs between health benefits and burdens. Priorities for future research, addressing limitations of the presented approach, concern a further expansion of the range of health benefits and burdens covered by the model, and the development of a common metric for the entire range of health benefits and burdens allowing optimization of greenspace design to maximize its overall net health benefit.

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Section: Scenario Study Approach and Input Datamentioning

confidence: 99%

Section: Scenario Study Approach and Input Datamentioning

confidence: 99%

Section: Scenario Study Approach and Input Datamentioning

confidence: 99%

Section: Scenario Study Approach and Input Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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