Lee on racial economic data analysis for camera placements
Lee presses on whether DOT has specifically analyzed racial and economic data. Beaton confirms they reviewed distribution and found cameras are evenly distributed based on city demographics.
Right, but have you specifically looked at racial economic data in terms of where the cameras get placed?
We have looked at that.
I don't have any of that readily available.
Deputy Commissioner Beaton, go ahead.
Yeah, we did look at that, and as the first deputy said, we can share it after.
But we did look to make sure that they're not being either over- or underserved in either low-income or non-white communities.
We start with the data and doing it where they're most needed, but then we did go back and double-check to make sure they're not all in communities of color or not avoiding communities of color.
And we found that they really are distributed very evenly around the city based on the racial and economic makeup of the city.
And that's part of why they're effective, I think, is because they're not concentrated in communities, but that they are really all over the city.
Okay.
I know some of my colleagues will probably have different opinions, but I'll let them ask their questions on that.
But what, so going where they're most needed, but then we did go back and double check to make sure they're not all in communities of color or not avoiding communities of color.
Back to my original question, but what additional safety enhancements?
I know you spoke about the 450 intersections where the red light cameras have been placed, but what other...
additional safety enhancements have DOT implemented?
And we found that they really are distributed very evenly around the city based on the racial and economic makeup of the city.
Right.
So, I mean, you know, Vision Zero really drives so many of our investments and design decisions out on the street, and it's become a massive program, and with this historic investment we're seeing in the current budget, it's going to grow even more.
And that's part of why they're effective, I think, is because they're not concentrated in communities, but that they are really all over the city.
Okay.
I know some of my colleagues will probably have different opinions, but I'll let them ask their questions on that.
But what, so going
So we have a really broad toolbox, and we follow the data if it's a high crash corridor or a specific intersection or a particular neighborhood, and then depending on the context, is it a wide street, a narrow street, there's different kinds of traffic calming, right?
It could be redesigning intersections, it could be speed humps, it could be adding or changing the traffic signals, stop signs, road diets, reallocating the space.
It's a very broad toolbox.
Okay.