I think your statment here is actual in reverse of what you may want to point out.
An increase in rent shows a induced demand for the property. More people are wanting to live in this location, thus the rents have gone up because of this demand. The rent did not go up because of the cost of installing those trees, but because the trees are there.
Similarly homes located near public parks, schools, hospitals, or transit may have a higher price tag because more people want said properties.
In London you can literally spot where the subway stations are from a map of rent prices since prices within an area go up the closer a place is to the tube.
![[Misc] Less parking more green evolution in a Parisian street](https://jlai.lu/pictrs/image/b287d811-fc24-4f77-a20d-7a52f5d7dc1c.jpeg){kind=link}
I think your statment here is actual in reverse of what you may want to point out.
An increase in rent shows a induced demand for the property. More people are wanting to live in this location, thus the rents have gone up because of this demand. The rent did not go up because of the cost of installing those trees, but because the trees are there.
Similarly homes located near public parks, schools, hospitals, or transit may have a higher price tag because more people want said properties.
In London you can literally spot where the subway stations are from a map of rent prices since prices within an area go up the closer a place is to the tube.
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You mean shitty places with no amenities rent for the same as desirable locations because of algorithms? TIL
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