Back

Replacing cars by green spaces: an assessment of the mortality benefits in Paris

Moutet, L.; Adelaide, L.; Claron, C.; Bahri, K.; Ben Halima, M. A.; Lepeule, J.; Pascal, M.; Temime, L.; Jean, K.

2025-07-23 public and global health
10.1101/2025.07.21.25331925 medRxiv
Show abstract

Increasing urban vegetation coverage is associated with improved human health and well-being, reduced environmental impact of cities and enhanced urban resilience to climate change. To support evidence-based urban planning, this study quantifies the mortality benefits, equity implications and cost-benefit ratio of several scenarios of green space development in Paris by 2040, including the replacement of car-dedicated surfaces with green spaces and a best-case scenario. This quantitative health impact assessment is based on estimated changes in the Normalized Difference Vegetation Index (NDVI), obtained through the estimation of the dynamic effects over time using a Difference-in-Differences approach based on previous public greening interventions, and on an exposure-response relationship linking NDVI and all-cause mortality. It was conducted at the sub-municipal level (IRIS) and incorporates a social deprivation index to assess health equity implications. Vegetation costs are drawn from a previous French study estimating urban soil restoration prices. Replacing surplus on-street parking and 20% of street space with vegetation could reduce all-cause mortality by around 0.8%, while reaching 15% of vegetation coverage in each IRIS could prevent around 3% of deaths yearly in Paris as early as 2040. For all scenarios, these benefits were approximatively equally distributed across deprivation levels. Predicted monetised health benefits outweigh intervention costs by 2035, with further impacts representing net gain. In conclusion, greening interventions targeting car-dedicated space in Paris would equitably improve health while supporting more sustainable and resilient cities.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Health & Place
10 papers in training set
Top 0.1%
12.9%
2
PLOS ONE
5266 papers in training set
Top 20%
8.9%
3
Environment International
43 papers in training set
Top 0.1%
7.9%
4
BMC Public Health
158 papers in training set
Top 0.5%
6.2%
5
European Journal of Public Health
21 papers in training set
Top 0.1%
6.2%
6
Sustainability
10 papers in training set
Top 0.1%
6.2%
7
BMJ Open
601 papers in training set
Top 5%
4.8%
50% of probability mass above
8
PLOS Global Public Health
344 papers in training set
Top 4%
4.0%
9
Nature Communications
5641 papers in training set
Top 34%
3.4%
10
Scientific Reports
3612 papers in training set
Top 33%
3.2%
11
Journal of Environmental Management
13 papers in training set
Top 0.1%
3.2%
12
Science of The Total Environment
186 papers in training set
Top 1%
2.6%
13
Frontiers in Public Health
148 papers in training set
Top 3%
2.1%
14
One Health
29 papers in training set
Top 0.2%
2.1%
15
The Lancet Public Health
20 papers in training set
Top 0.2%
1.4%
16
International Journal of Behavioral Nutrition and Physical Activity
15 papers in training set
Top 0.3%
1.3%
17
American Journal of Epidemiology
67 papers in training set
Top 0.8%
1.3%
18
International Journal of Environmental Research and Public Health
128 papers in training set
Top 4%
1.1%
19
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 35%
1.1%
20
PeerJ
308 papers in training set
Top 8%
1.1%
21
Environmental Research
49 papers in training set
Top 0.9%
1.1%
22
BMC Medicine
176 papers in training set
Top 4%
1.1%
23
Environmental Research Letters
14 papers in training set
Top 0.2%
1.0%
24
eClinicalMedicine
77 papers in training set
Top 2%
1.0%
25
BMJ Global Health
113 papers in training set
Top 4%
0.6%
26
Journal of Epidemiology and Community Health
34 papers in training set
Top 0.7%
0.6%