New analysis shows that the supply of community green space has fallen by a third over the course of the 21st century, leading to a reduction in the number of people visiting green spaces each year by about 9 million.
For 15 years, Britain has stumbled through numerous political upheavals and scandals, from crisis to crisis, recession to pandemic. Amid the noise, few focus on the health of the parks and green spaces that energize our communities.It is clear that austerity budget cuts are undermining local governments to maintain the public realm and push Privatization of public spacesomeone raised his voice. Parliamentary committees pour in, but not much changed. From 2013 to 2021, the proportion of parks ‘good conditions’, Self-reported by local authority park managersdown from 60% to just over 40%.
But the decline of Britain ‘The “green estate” goes far beyond cutting maintenance budgets. New analysis by the NEF has revealed a wider decline in green space supply related to the way the UK planning system is designed and communities are built.
We provide data in combination with public green space from the National Bureau of Statistics (ONS), local housing stock average age data from Dataadaptive and new national survey data on public perceptions of local green spaces from Natural EnglandDoing so has allowed us to compare the green space experiences of communities in England and Wales, based on the region’s dominant housing generation, and therefore the planning laws governing their design.
We found significant differences in green space supply in different development periods. For example, in neighborhoods where most housing was built between 1930 and 1939, the median size of the neighborhood’s closest park is about 61,500 m22 (about 8.5 football fields). The equivalent figure for post-2000 housing-based developments is 36,200 m2 (5.0 football fields) – a 40% decrease. As the housing stock rejuvenates, the total amount of green space found within 1 km of a development has steadily declined (see Figure 1). For example, about 13 percent of the space found in early-20th-century developments was typically used for green space, compared with just 9 percent in post-2000 developments—a drop of about one-third.
Figure 1: Neighborhoods dominated by the latest generation of housing construction (2009 to 2021) saw a 40% reduction in green space supply compared to neighborhoods dominated by housing in the late 19th and early 20th centuries
Figure 2: The more 21st century housing a community owns, the less area is available for green space in the area
The three green space supply indicators are indexed by their peaks (y-axis) and plotted against the proportion of 21st century completed neighborhood housing stock (x-axis). The proportion of 21st century housing stock (x-axis) is grouped into deciles, where decile 1 represents the community (in England and Wales) with the lowest proportion of 21– Century housing and decile 10 represent the highest share.
If you live in a community built millennia later, your local park may be smaller and you may have to walk further to get to it (Figure 2). The shift to providing green spaces also extends to the private realm. The trend is about the same in England and Wales, with data not available for Scotland.Our analysis man and nature survey Individuals who indicated that living in post-2000 communities were almost twice as likely to report lack of access to gardens were nearly twice as likely as those in housing-focused developments between 1930 and 1999. If they do have access, they are 30% more likely to report that they don’t have a garden and don’t like their garden.
The disparities, caused by factors such as the collapse of parliament buildings and the freedom of developers to cut public facilities such as green spaces for higher profits, have social implications.Not only did communities living in post-2000 dominant developments report that they did not “feel part of nature”, but they also visit green spaces less often. Our statistical analysis shows that the decline in the supply of new green spaces after 2000 is now associated with at least 9 million fewer trips to green spaces per year (see methodology below). After controlling for other key variables (deprivation, age, and dog ownership), individuals living in post-2000 development were about 5% less likely to visit green spaces per week. The green spaces offered in our newest neighborhoods were substandard , the impact can be seen in individual behavior.
A local public green space is more than just a facade: it is an essential part of quality living.its benefits and effects Happiness Equalizer And opportunity has also been the subject of a recent surge in scientific inquiry.New research shows public green spaces are doing a better job Educational Outcomesphysical health and other dimensions psychological and social well-being, resilience and recovery have brought green space provision into the mainstream of science and public health. But there is no sign of entering the political mainstream of the country yet. This needs to change.
NEF support , This requires a legal right to nature. The Nature for Everyone coalition of more than 80 nature, planning, health and equality organisations calls on governments to make equal access to quality natural environments a key measure of the success of the upgrading agenda, creating a new legal responsibility for developers and public bodies to provide equal access Naturally abundant green and blue spaces, and expanding the upgrade fund to green infrastructure projects.
method
Statistics on public perceptions of park availability and people’s connection to nature, as well as data on access to green spaces from Nature England man and nature survey (PANS) Waves 2 to 10, spanning April to December 2020 (n=18,746). This sample is affected by the pandemic.
By combining ONS and Appraisal Office Agency (VOA) (Aggregated by Datadaptive) A dataset of England and Wales using LSOA codes. The VOA data depicts the median housing age for each Lower Super Output Area (LSOA) by age category, as shown in the graph above. The ONS green space supply data describes various parameters of green space supply within 1 km of a zip code, averaged to each LSOA. A simple descriptive analysis of the combined dataset can then be performed to generate the above output.
To estimate the loss of green space access due to recent development-led declines in community green infrastructure supply levels, we linked Datadaptive’s housing age rating data with PANS raw data (waves 2 to 10), again using LSOA codes . Once the age of community development for each respondent was determined, we performed regression analysis to look at the correlation between community age and the frequency of individual visits to green spaces, as captured in PANS.
as a standard for such analysis (see e.g. This research in the British Medical Journal) we used logistic regression models to investigate the probability that individuals living in each housing age class would visit local green spaces at least once a week.Logistic regression performs well when analyzing datasets with categorical dependent variables and multiple categorical independent variables and has been established as an academic standard of research in this field (see here E.g). In this case, in addition to housing development age, the independent variables used as control for the study included: the area’s Multiple Deprivation Score Index, the age of individuals, and whether they owned a dog — all factors known to significantly affect greening rates. Space use .
Multiple model designs were tested to determine the best fit. McFadden’s pseudo R2 Used to test model fit. Our final model achieved a McFaddens R2 of 0.038, which is an adequate result for a model of this nature. Age, deprivation, and dog ownership were all highly statistically significant. All 20th century housing stock age classes were associated with a higher probability of access to green space compared to 21st century classes. Different housing stock age groups were associated with different levels of statistical significance, with P values ranging from 0.73 (1973 – 1982) to <0.01 (1993 - 1999).full regression output can be downloaded here.
