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Illustrative aerial cityscape showing dense residential blocks beside abundant but unevenly distributed tree cover.

Urban greenspace / Environmental inequality

A green city.
For whom?

A city can be green on a map.
That does not mean everyone
experiences it equally.

Follow the story
303 Chinese cities · Environment International · 2021AI-generated illustrative cityscape

01 / Count people, not only green pixels

What a city has.
What people experience.

Green coverage describes the land. Population-weighted exposure describes the green environments around people’s locations. Across the cities studied, these told very different stories.

26.69%On the land

Greenspace coverage

The share of urban land covered by vegetation

13.15%Around people

Population-weighted exposure

Green coverage around people’s locations

Means across 303 cities · whole-day exposure · 2016 data Fig. 3 / Study results

But even the exposure average leaves a question unanswered.Who gets the green?

02 / Look beyond the average

The same average.
A different lived environment.

Exposure can be shared relatively evenly, or concentrated among a few. Move the slider to see why a citywide average cannot describe that difference.

Try the distribution

100 people. One unchanged average.

Each leaf represents one person Less More exposure
Average exposure20unitsAlways the same
Exposure Gini0.58Unevenly shared
Who receives the exposure?A Lorenz curve ranks people from lower to higher exposure. A curve further below the equality line represents greater inequality. Illustrative data.050100050100%People, from lower to higher exposureCumulative exposure (%)Equal share
Drag to explore

Illustrative example, not observations from the paper. Exposure is expressed in relative units; the population and total exposure remain fixed.

03 / What we observed in China

Inequality was
the widespread pattern.

207/ 303

Cities had a whole-day
exposure Gini above 0.6.

About two in three cities fell into the study’s high or very high inequality categories.

Gini > 0.6 Other cities

One dot = one city. Grouped by threshold, not by geography.

Uneven across regions, too

Local context
matters.

Higher regional mean inequality was observed in northern and northwestern cities. The study linked exposure inequality with greenspace provision and geo-climatic conditions.

These are associations, not estimates of causal effects.

Mean whole-day exposure Gini, by region
Northwest
0.804
North
0.763
South-central
0.673
East
0.642
Northeast
0.639
Southwest
0.528
0 · More equal1 · More unequal

The same city, at a different time

People move.
Inequality changes.

Greenspace stays in place, but the population around it changes. In Daxinganling, exposure inequality was higher during the day than at night.

This is one city’s reported result, not a rule for every city.
Daxinganling · exposure Gini0.47806:00–18:00
0 · Equal1 · Unequal

Reported results from the paper Sections 3.2–3.4 / Full analysis

The planning question

More green.
Within more people’s reach.

Greening targets need to consider where people are, how exposure is distributed, and what local conditions allow. Quantity matters. So do location, quality and people’s needs.

01 / Map the environment

Sentinel-2 imagery estimates vegetation within urban areas.

02 / Locate the population

Aggregated Tencent location data capture daytime, nighttime and whole-day distributions.

03 / Assess the distribution

Population-weighted exposure and the Gini index reveal unequal exposure.

The study measures ambient vegetation around population-grid locations, not individual park visits or personal health outcomes. It uses 2016 observations and was published in 2021.

The research

Observed inequality in urban
greenspace exposure in China

Yimeng Song, Bin Chen, Hung Chak Ho, Mei-Po Kwan,
Dong Liu and colleagues

Environment International · 156 · 106778 · 2021
Read the full paper
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