Be careful who you let parked in front of your house. It might change your income.
From: ctpp-news [mailto:ctpp-news-bounces@chrispy.net] On Behalf Of Scott Ramming
Sent: Friday, December 01, 2017 11:55 AM
To: ctpp-news(a)chrispy.net
Subject: Re: [CTPP] The Washington Post: Scientists can now figure out detailed, accurate
neighborhood demographics using Google Street View photos
As I understand it, their models aren’t based on auto ownership levels, but the type and
age of the autos parked in view.
There’s a big difference in neighborhoods where you find concentrations of say 2018 Range
Rovers versus 1964 Ford Mavericks.
Plus one to Thomas’s point about high density areas where people either don’t own vehicles
or park the vehicles they do in garages. The same lack of sample would also apply to where
HOAs dictate that all vehicles must be parked in personal garages with the door lowered.
Perhaps lack of variation in the paint color scheme could be used as an explanatory
variable for such neighborhoods.
Scott Ramming, PhD PE | Senior Travel Modeler | Transportation Planning & Operations
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From: ctpp-news [mailto:ctpp-news-bounces@chrispy.net] On Behalf Of Alan E. Pisarski
Sent: Friday, December 01, 2017 8:59 AM
To: ctpp-news@chrispy.net<mailto:ctpp-news@chrispy.net>; 'Ed Christopher'
<edc@berwyned.com<mailto:edc@berwyned.com>>
Subject: Re: [CTPP] The Washington Post: Scientists can now figure out detailed, accurate
neighborhood demographics using Google Street View photos
Re auto ownership: it was at one time a pretty good proxie for wealth etc. but vehicles
are so ubiquitous now that it is far less reliable. Not far from here in a neighborhood
that is largely low/mid income housing the streets are lined at night with white vans that
the immigrant painters, home construction guys use. Great area to steal a ladder. Alan
Alan E. Pisarski
alanpisarski@alanpisarski.com<mailto:alanpisarski@alanpisarski.com>
703-941-4257 landline
703 650-8925 cell
From: ctpp-news [mailto:ctpp-news-bounces@chrispy.net] On Behalf Of Krishnan Viswanathan
Sent: Friday, December 01, 2017 10:15 AM
To: Ed Christopher <edc@berwyned.com<mailto:edc@berwyned.com>>
Cc: ctpp-news@chrispy.net<mailto:ctpp-news@chrispy.net>
Subject: Re: [CTPP] The Washington Post: Scientists can now figure out detailed, accurate
neighborhood demographics using Google Street View photos
Totally agree with you Ed. I think the Washington Post headline is a dose of hyperbole. I
have a question about spurious correlations and as far as I know the ACS does not ask what
type of vehicle is there in the household so this paragraph in their paper gave me
pause:
Using ACS and presidential election voting data for regions in our training set, we train
a logistic regression model to estimate race and education levels and a ridge regression
model to estimate income and voter preferences on the basis of the collection of vehicles
seen in a region. This simple linear model is sufficient to identify positive and negative
associations between the presence of specific vehicles (such as Hondas) and particular
demographics (i.e., the percentage of Asians) or voter preferences (i.e., Democrat).
On Fri, Dec 1, 2017 at 9:38 AM, Ed Christopher
<edc@berwyned.com<mailto:edc@berwyned.com>> wrote:
Interesting stuff Krishnan--
If their basic assumption were true, that vehicle ownership somehow translates into
demographics (ie voter behavior), then why not just cut Google out and process vehicle
registration files. It seems to me that would be a lot easier and cheaper. Then again you
have to buy the basic assumption. Also, if you look at precinct by precinct voter behavior
two things will surprise you. First, precincts are not all one color (red or blue) in most
places and the number of people who do vote are very small when considering the total
population. While I found this work interesting I would not be out their trying to
oversell what its capabilities are without a whole lot more work and research. As I see it
we have a very long way to go before we have something that is a kin to the ACS and all
its by-products.
On 11/30/2017 8:39 PM, Krishnan Viswanathan wrote:
This will interest people in this group and also foster discussion about the methods used.
The article itself has a link to the paper.
Scientists can now figure out detailed, accurate neighborhood demographics using Google
Street View photos
http://wapo.st/2AnuP9L<https://urldefense.proofpoint.com/v2/url?u=http-3…
Krishnan Viswanathan
5628 Burnside Circle
<https://urldefense.proofpoint.com/v2/url?u=https-3A__maps.google.com_-3Fq-3D5628-2BBurnside-2BCircle-2B-250D-2BTallahassee-2BFL-2B32312-26amp-3Bentry-3Dgmail-26amp-3Bsource-3Dg&d=DwMFaQ&c=euGZstcaTDllvimEN8b7jXrwqOf-v5A_CdpgnVfiiMM&r=hPWPlrrP3ltC4p6xf2M1dSXBtZJFDefT0j92MuY91_U&m=OaFuPnt5_e2qlw7V0mqAXMDxcY9jvm14ieUs7u8VTHg&s=X9IQwhkjhUp3KPbDhFnQsh7aVTisGC8B-W0mm4gcIGA&e=>
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Krishnan Viswanathan
5628 Burnside Circle
Tallahassee FL 32312