The provision of urban green space and its accessibility: Spatial data effects in Brussels

Texier, Marion Le; Schiel, Kerry; Caruso, Geoffrey

doi:10.1371/journal.pone.0204684

Cited by 87 publications

(57 citation statements)

References 44 publications

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“…Many studies have utilized the vegetation index to assess amount of local green space in relation to provision of green space [49,50] and health effects of green space [51]. Given the negative correlation between EVI and urbanization (e.g., population density, impervious areas) in our study, the differences in mobility reduction by EVI levels reflect that people traveled less to more populated areas for safety.…”

Section: Discussionmentioning

confidence: 97%

Relationships between Local Green Space and Human Mobility Patterns during COVID-19 for Maryland and California, USA

2020

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Human mobility is a significant factor for disease transmission. Little is known about how the environment influences mobility during a pandemic. The aim of this study was to investigate an effect of green space on mobility reductions during the early stage of the COVID-19 pandemic in Maryland and California, USA. For 230 minor civil divisions (MCD) in Maryland and 341 census county divisions (CCD) in California, we obtained mobility data from Facebook Data for Good aggregating information of people using the Facebook app on their mobile phones with location history active. The users’ movement between two locations was used to calculate the number of users that traveled into an MCD (or CCD) for each day in the daytime hours between 11 March and 26 April 2020. Each MCD’s (CCD’s) vegetation level was estimated as the average Enhanced Vegetation Index (EVI) level for 1 January through 31 March 2020. We calculated the number of state and local parks, food retail establishments, and hospitals for each MCD (CCD). Results showed that the daily percent changes in the number of travels declined during the study period. This mobility reduction was significantly lower in Maryland MCDs with state parks (p-value = 0.045), in California CCDs with local-scale parks (p-value = 0.048). EVI showed no association with mobility in both states. This finding has implications for the potential impacts of green space on mobility under an outbreak. Future studies are needed to explore these findings and to investigate changes in health effects of green space during a pandemic.

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Section: Discussionmentioning

confidence: 97%

Relationships between Local Green Space and Human Mobility Patterns during COVID-19 for Maryland and California, USA

2020

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“…Third, evaluating the welfare effects under social welfare, natural conservation, and integrated land use scenario would benefits for policy making for future's sustainable land use management and budget allocation in relative protected areas. Finally, rapid urbanization is a major factor in loss of green space and agricultural land in the peri-urban area [53], especially on developing country similar to Taiwan (i.e., Thailand and China), and then apply to the management of a metropolis and the centrality effect [54,55]. The researcher also can evaluate the welfare effects for recreational green spaces for SLM [56] under our framework.…”

Section: Discussionmentioning

confidence: 99%

Evaluating the Public’s Preferences toward Sustainable Planning under Climate and Land Use Change in Forest Parks

et al. 2019

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Balancing the goals of sustainable planning under climate and land use change (CLUC) with ecosystem service functions is a huge challenge for the management and programming of protected areas today. We construct a new evaluation framework towards the perspectives of sustainable land management based on the choice experiment (CE) model, and apply it to investigate the public's preferences for the forest parks in Taiwan. This study found that implementing organic farming, increasing species populations, increasing the acreage of secondary forest area, and developing an integrated framework for ecotourism would best satisfy the public's preferences for sustainable land use management. Second, we identify that the heterogeneity of the public's preferences for forest park management varies depending on whether individuals are (1) members of environmental groups, (2) agricultural landowners, and (3) residents of the municipality. Third, we find integrated land use programs generate the highest welfare values among scenarios comprising different financial attributes.

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“…Green land ratio and green coverage ratio are two popular indicators [31]. Previous studies mostly used rthe official land use dataset or data derived from aerial photography to measure the accessibility of public green land [32,33], or used public green land per capita as an indicator to measure the supply of public green land per capita [33,34]. However, both indicators failed to measure the spatial relationship between certain residential units and surrounding green spaces [35].…”

Section: Discussionmentioning

confidence: 99%

Measuring Community Greening Merging Multi-Source Geo-Data

Chen

Dai

2019

Sustainability

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Urban residential greening provides opportunities for social integration and physical exercise. These activities are beneficial to promoting citizens’ mental health, relieving stress, and reducing obesity and violent crimes. However, how to measure the distribution and spatial difference of green resources in urban residential areas have been controversial. This study takes the greening of urban residential units in Shenzhen City as its research object, measures the various greening index values of each residential unit, and analyses the spatial distribution characteristics of residential greening, regional differences, and influencing factors. A large sample of street view pictures, urban land use and high-resolution remote sensing image data are employed to establish an urban residential greening database containing 14,196 residential units. This study proposes three greening indicators, namely, green coverage index, green view index, and accessible public green land index, for measuring the green coverage of residential units, the visible greening of surrounding street space and the public green land around, respectively. Results show that (1) the greening level of residential units in Shenzhen City is generally high, with the three indicators averaging 32.7%, 30.5%, and 15.1%, respectively; (2) the types of residential greening differ per area; and (3) the level of residential greening is affected by development intensity, location, elevation and residential type. Such findings can serve as a reference for improving the greening level of residential units. This study argues that one indicator alone cannot measure the greenness of a residential community. It proposes an accessible public green land index as a measure for the spatial relationship between residential units and green lands. It suggests that future green space planning should pay more attention to the spatial distribution of green land, and introduce quantitative indicators to ensure sufficient green lands around the walking range of residential areas.

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The provision of urban green space and its accessibility: Spatial data effects in Brussels

Cited by 87 publications

References 44 publications

Relationships between Local Green Space and Human Mobility Patterns during COVID-19 for Maryland and California, USA

Relationships between Local Green Space and Human Mobility Patterns during COVID-19 for Maryland and California, USA

Evaluating the Public’s Preferences toward Sustainable Planning under Climate and Land Use Change in Forest Parks

Measuring Community Greening Merging Multi-Source Geo-Data

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