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3075 discussions

[CTPP] Ctpp 2000 data-- block groups available for TX, NE, SC, WV, RI, and DC?

by Humann

NONCONFIDENTIAL // EXTERNAL Hi, I'm trying to get 2000 CTPP data at the block group level from the BTS/transtats website for all states plus DC. I cannot find block group level data for D.C., Nebraska, Rhode Island, South Carolina, Texas, and West Virginia. Doe anyone know if these these data are just not available? Or if this is a website glitch? I have not found any information yet that would indicate that the block group level CTPP 2000 data is not available for these 5 states (plus D.C.). Any help will be greatly appreciated. Thanks, McKenzie

7 years, 9 months

Re: [CTPP] The Washington Post: Scientists can now figure out detailed, accurate neighborhood demographics using Google Street View photos

by Cervenka

The series of posts from last week remind me that the idea of estimating “household demographics” based only on observed vehicle types has been around since the 1990s, as planners have tried to figure out whether the actual observed distribution of vehicle types seen on toll lanes are noticeably different from the observed distribution seen on non-tolled roads that offer a viable (but probably slower and/or less reliable) alternative to the toll lanes, and if so what this might mean (statistically speaking) in regards to differences in the likely distribution of household income for toll-road users and non-users. I am not an expert on such matters, so will avoid offering any personal opinions about the “likely statistical accuracy” of such an observation-based analysis, beyond noting that the term “Lexus lane” is often used, and often gets people into some rather contentious point-counterpoint debates about who actually “directly benefits” from the availability of faster and/or more reliable tolled facilities. Ken Cervenka From: ctpp-news [mailto:ctpp-news-bounces(a)chrispy.net] On Behalf Of Pete Swensson Sent: Friday, December 01, 2017 8:27 PM 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 Just an anecdotal observation: Vehicle make and model preferences vary a lot by geography for reasons other than income or demographics. Lots more pick-ups in some parts of the country than others. Subarus ALL have 4-wheel drive, and they are consequently a very popular make in my county. Japanese makes of cars (e.g., Honda) have long been more popular on the West Coast (regardless of ethnicity) than in the Midwest, where there is stronger brand loyalty to American makes manufactured in the Midwest (in theory – many are now made in Mexico). Even if one accepts the underlying premise of correlating vehicle types to demographics and voting patterns, I think Ed’s suggestion of processing vehicle registration files instead of Google photos is right on target. Much easier. And it wouldn’t surprise me if users of Big Data for political analysis are already doing this. Pete Swensson 1201 Terrace Lane SW Olympia, WA 98502 (360) 352-7909 home (360) 628-6621 cell pete(a)swensson.us<mailto:pete(a)swensson.us> From: ctpp-news [mailto:ctpp-news-bounces(a)chrispy.net] On Behalf Of Steve Wilson Sent: Friday, December 01, 2017 9:04 AM To: ctpp-news(a)chrispy.net<mailto: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 Streetview + ACS can also be used to develop a model estimating likelihood of encountering man on porch yelling “hey you kids – get off my lawn”. :) From: Polzin, Steven [mailto:polzin(a)cutr.usf.edu] Sent: Friday, December 01, 2017 10:58 AM To: ctpp-news(a)chrispy.net<mailto: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 Be careful who you let parked in front of your house. It might change your income. From: ctpp-news [mailto:ctpp-news-bounces(a)chrispy.net] On Behalf Of Scott Ramming Sent: Friday, December 01, 2017 11:55 AM To: ctpp-news(a)chrispy.net<mailto: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 Direct: 303-480-6711 | Fax: 303-480-6790 | Email: sramming(a)drcog.org<mailto:sramming(a)drcog.org> [2016DRCOG-Logo-Side-PMS.png]<https://drcog.org/> 1290 Broadway • Suite 100 • Denver, Colorado 80203-5606 main: 303-455-1000 • email: drcog(a)drcog.org<mailto:drcog(a)drcog.org> • web: www.drcog.org<http://www.drcog.org/> [AWARD-email-signiture-V02]<https://drcog.org/annualawards> [facebook]<http://www.facebook.com/Denver.Regional.Council.of.Governments> [twitter] <https://twitter.com/DRCOGorg> [linkedin] <http://www.linkedin.com/company/denver-regional-council-of-governments?trk=…> From: ctpp-news [mailto:ctpp-news-bounces(a)chrispy.net] On Behalf Of Alan E. Pisarski Sent: Friday, December 01, 2017 8:59 AM To: ctpp-news(a)chrispy.net<mailto:ctpp-news(a)chrispy.net>; 'Ed Christopher' <edc(a)berwyned.com<mailto:edc(a)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(a)alanpisarski.com<mailto:alanpisarski(a)alanpisarski.com> 703-941-4257 landline 703 650-8925 cell From: ctpp-news [mailto:ctpp-news-bounces(a)chrispy.net] On Behalf Of Krishnan Viswanathan Sent: Friday, December 01, 2017 10:15 AM To: Ed Christopher <edc(a)berwyned.com<mailto:edc(a)berwyned.com>> Cc: ctpp-news(a)chrispy.net<mailto: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 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(a)berwyned.com<mailto:edc(a)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-3A__wapo.st_2AnuP9L&d=DwMFa…> Krishnan Viswanathan 5628 Burnside Circle <https://urldefense.proofpoint.com/v2/url?u=https-3A__maps.google.com_-3Fq-3…> Tallahassee FL 32312 _______________________________________________ ctpp-news mailing list ctpp-news(a)chrispy.net<mailto:ctpp-news(a)chrispy.net> https://www.chrispy.net/mailman/listinfo/ctpp-news<https://urldefense.proofpoint.com/v2/url?u=https-3A__www.chrispy.net_mailma…> -- Ed Christopher Transportation Planning Consultant 708-269-5237<tel:(708)%20269-5237> -- Krishnan Viswanathan 5628 Burnside Circle Tallahassee FL 32312

7 years, 9 months

[CTPP] BLS: Technical Advisory Committee - Request for Nominations

by Krishnan Viswanathan

Given the importance of BLS data to the transportation community, it is critical that we have a seat at the table. If you or anyone you know would make a good nominee, please nominate them to be part of this committee. https://www.federalregister.gov/documents/2017/12/06/2017-26224/technical-a… Thanks, Krishnan

7 years, 10 months

Re: [CTPP] The Washington Post: Scientists can now figure out detailed, accurate neighborhood demographics using Google Street View photos

by Alan E. Pisarski

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(a)alanpisarski.com 703-941-4257 landline 703 650-8925 cell From: ctpp-news [mailto:ctpp-news-bounces(a)chrispy.net] On Behalf Of Krishnan Viswanathan Sent: Friday, December 01, 2017 10:15 AM To: Ed Christopher <edc(a)berwyned.com> Cc: 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 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(a)berwyned.com <mailto:edc(a)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 Krishnan Viswanathan 5628 Burnside Circle <https://maps.google.com/?q=5628+Burnside+Circle+%0D+Tallahassee+FL+32312&en…> Tallahassee FL 32312 _______________________________________________ ctpp-news mailing list ctpp-news(a)chrispy.net <mailto:ctpp-news(a)chrispy.net> https://www.chrispy.net/mailman/listinfo/ctpp-news -- Ed Christopher Transportation Planning Consultant 708-269-5237 <tel:(708)%20269-5237> -- Krishnan Viswanathan 5628 Burnside Circle Tallahassee FL 32312

7 years, 10 months

Re: [CTPP] The Washington Post: Scientists can now figure out detailed, accurate neighborhood demographics using Google Street View photos

by Marchwinski

Does anyone know if they looked at how well the model they developed predicted demographics in low car ownership areas like New York City, where less then half of the households have cars? It did not seem like they used any data from the NY area. In built up, high density areas, many of the cars are in structured parking or people do not own cars. On-Street cars may not represent who is living in the area. Same for high density areas in other cities. From: ctpp-news [mailto:ctpp-news-bounces(a)chrispy.net] On Behalf Of Krishnan Viswanathan Sent: Friday, December 01, 2017 10:15 AM To: Ed Christopher Cc: 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 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(a)berwyned.com<mailto:edc(a)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 Krishnan Viswanathan 5628 Burnside Circle <https://maps.google.com/?q=5628+Burnside+Circle+%0D+Tallahassee+FL+32312&en…> Tallahassee FL 32312 _______________________________________________ ctpp-news mailing list ctpp-news(a)chrispy.net<mailto:ctpp-news(a)chrispy.net> https://www.chrispy.net/mailman/listinfo/ctpp-news -- Ed Christopher Transportation Planning Consultant 708-269-5237<tel:(708)%20269-5237> -- Krishnan Viswanathan 5628 Burnside Circle Tallahassee FL 32312

7 years, 10 months

Re: [CTPP] The Washington Post: Scientists can now figure out detailed, accurate neighborhood demographics using Google Street View photos

by Ed Christopher

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 > Krishnan Viswanathan > 5628 Burnside Circle > Tallahassee FL 32312 > > > _______________________________________________ > ctpp-news mailing list > ctpp-news(a)chrispy.net > https://www.chrispy.net/mailman/listinfo/ctpp-news -- Ed Christopher Transportation Planning Consultant 708-269-5237

7 years, 10 months

[CTPP] The Washington Post: Scientists can now figure out detailed, accurate neighborhood demographics using Google Street View photos

by Krishnan Viswanathan

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 Krishnan Viswanathan 5628 Burnside Circle Tallahassee FL 32312

7 years, 10 months

[CTPP] Tabulating Means of Transportation to Median Household Income

by Nguyen

Good afternoon- I am working with table B303200 and even though I have successfully joined LINENO ID with its description of means of transportation, I'm wondering how to figure out the Median Household Income of each flows. I'd really appreciate it if you could give me some of your insights on this matter and I'm sorry about any inconvenience. Many Thanks. This message, including any attachments hereto, may contain privileged and/or confidential information and is intended solely for the attention and use of the intended addressee(s). If you are not the intended addressee, you may neither use, copy, nor deliver to anyone this message or any of its attachments. In such case, you should immediately destroy this message and its attachments and kindly notify the sender by reply mail. Unless made by a person with actual authority conferred by Louis Berger, the information and statements herein do not constitute a binding commitment or warranty by Louis Berger. Louis Berger assumes no responsibility for any misperceptions, errors or misunderstandings. You are urged to verify any information that is confusing and report any errors/concerns to us in writing.

7 years, 10 months

[CTPP] Data Suppression Question

by Charles Baber

Wondering how data suppression works…or maybe I am doing something wrong. Using Factfinder to extract table B25056 – contract rent 1 – year estimates at the jurisdiction level. (all jurisdictions have a population greater than 65,000.) For 2007, all six jurisdictions in the Baltimore region have estimates for table B25056. In 2016, I can only get data for five jurisdictions (Howard County, MD is missing). The last year with all six jurisdiction for table B25056 1 - year estimate is 2013. Howard County has data for 2007 and 2016 for Table B25070 Gross rent as a percentage of household income 1-year estimate. In 2007 the estimated total number of households is 23,337 and in 2016 the estimated total is 30,604. Trying to understand why table B25056 – contract rent 1-year estimate is not available for Howard County after 2013? Thanks Charles M. Baber Principal Transportation Planner Baltimore Metropolitan Council Offices @ McHenry Row 1500 Whetstone Way, Suite 300 Baltimore MD 21230 410-732-0500 Ext. 1056 www.baltometro.org *Confidentiality Statement* This message may contain legally privileged and confidential information that is intended only for the use of the recipient(s) named above. If you are not an intended recipient, taking any action based on the contents of this message is strictly prohibited. Please immediately notify the sender if you have received this message in error.

7 years, 11 months

[CTPP] 16th NATIONAL “TOOLS OF THE TRADE” CONFERENCE CALL FOR ABSTRACTS DEADLINE EXTENDED TO NOVEMBER 5, 2017

by Schiffer

The deadline has been extended to November 5, 2017 for submitting abstracts for the 2018 Tools of the Trade Conference. Please consult the updated and attached flyer for additional details or contact me with questions. -Rob Robert G. Schiffer, AICP Discipline Leader, Modeling, Southeast/Gulf Regions Stantec Consulting, Inc. 3606 Maclay Boulevard Suite 200 Tallahassee FL 32312 Phone: (850) 907-1158 Cell: (850) 570-8958 rob.schiffer(a)stantec.com<mailto:rob.schiffer(a)stantec.com> [Description: Stantec]<http://www.stantec.com/> [Description: Facebook]<https://www.facebook.com/StantecInc?v=wall&ref=sgm> [Description: Twitter]<https://twitter.com/stantec> [Description: Blog]<http://www.stantec.com/blog.html> [Description: Google+]<https://plus.google.com/112504287730358583553/posts> [Description: LinkedIn]<http://www.linkedin.com/company/stantec> [Description: YouTube]<http://www.youtube.com/user/StantecInc> The content of this email is the confidential property of Stantec and should not be copied, modified, retransmitted, or used for any purpose except with Stantec's written authorization. If you are not the intended recipient, please delete all copies and notify us immediately. ü Please consider the environment before printing this email.

7 years, 11 months

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