CTPP December 2017

ctpp@listserv.transportation.org

17 participants
11 discussions

[CTPP] NextGen NHTS Pooled Fund Program Open House at TRB

by sgbricka＠gmail.com

*Apologies for cross-postings FHWA is establishing a new pooled fund program in support of the next generation National Household Travel Survey (NHTS). The NextGen NHTS will integrate passive data with household travel surveys to provide both long-distance and local travel behavior data on an annual basis. We invite you to come and learn more about this new pooled fund effort while at TRB: What: NextGen NHTS Pooled Fund Program Open House When: Monday 1/8, 1-2 pm Where: Convention Center Conference Room 302 This pooled fund is designed to bring together agencies considering their next household travel survey program in order to learn from each other's experiences to date and design the NextGen NHTS. Pooled fund participants will identify design elements and benefit from research into critical questions about the evolution to a hybrid travel behavior data source, including guidance for evaluating passive data opportunities and benchmarking results. Whether you just completed a household travel survey or are actively researching your 2020 survey program, this pooled fund program will equip your agency with the research and results needed to meet local and long distance travel behavior needs on an annual basis. We hope to see you at TRB! For more information or to RSVP, contact: Wenjing Pu, PhD, PE DOT | FHWA | Office of Highway Policy Information (202) 366-5024 wenjingpu(a)dot.gov <mailto:wenjing.pu(a)dot.gov>

7 years, 7 months

Re: [CTPP] Non-Traditional CTPP Users

by Patricia Becker

I'm a demographer in private practice. I used CTPP data when I did a demographic study for the city of Hartford, CT. I'm familiar with UTPP/CTPP going back decades, so it's not like I had to discover that the data existed. But it was very useful for city officials to understand more about people who work in Hartford, as well as about those who live there. <https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campai…> Virus-free. www.avast.com <https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campai…> <#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2> On Thu, Dec 28, 2017 at 2:55 PM, Benjamin Gruswitz <bgruswitz(a)dvrpc.org> wrote: > Some discussion came up at our recent conference in Kansas City about > earlier days of the program when public sector employees would get data > request from folks in various private sector industries. The CTPP Board > Training & Outreach subcommittee wanted to generate an anecdotal list from > listserv members of who they know using the data--beyond more traditional > public sector transportation planners and their consultants. This could be > some non-traditional research area at a university, some more obscure > public agency use case, or a private sector application. Knowing not only > who is using it but what they're using it for is always a plus. > > Feel free to reply to the listserv or me directly. > > Thanks in advance! > Ben > > *Ben Gruswitz, AICP *|* Senior Planner* > > Office of Long-Range Planning > Delaware Valley Regional Planning Commission > 190 N Independence Mall West, 8th Floor > Philadelphia, PA 19106-1520 > 215.238.2882 <http:/#> | bgruswitz(a)dvrpc.org <http:/#> > > www.dvrpc.org > > > _______________________________________________ > ctpp-news mailing list > ctpp-news(a)chrispy.net > https://www.chrispy.net/mailman/listinfo/ctpp-news > > -- Patricia C. (Patty) Becker APB Associates/Southeast Michigan Census Council (SEMCC) 28300 Franklin Rd, Southfield, MI 48034 office: 248-354-6520 home:248-355-2428 pbecker(a)umich.edu

7 years, 7 months

[CTPP] Non-Traditional CTPP Users

by Benjamin Gruswitz

Some discussion came up at our recent conference in Kansas City about earlier days of the program when public sector employees would get data request from folks in various private sector industries. The CTPP Board Training & Outreach subcommittee wanted to generate an anecdotal list from listserv members of who they know using the data--beyond more traditional public sector transportation planners and their consultants. This could be some non-traditional research area at a university, some more obscure public agency use case, or a private sector application. Knowing not only who is using it but what they're using it for is always a plus. Feel free to reply to the listserv or me directly. Thanks in advance! Ben *Ben Gruswitz, AICP *|* Senior Planner* Office of Long-Range Planning Delaware Valley Regional Planning Commission 190 N Independence Mall West, 8th Floor Philadelphia, PA 19106-1520 215.238.2882 <http:/#> | bgruswitz(a)dvrpc.org <http:/#> www.dvrpc.org

7 years, 7 months

[CTPP] NHTS Task Force (ABJ45T) Activities at TRB 2018

by Krishnan Viswanathan

Apologies for cross posting. The link to the activities of the NHTS task force (ABJ45T) at TRB 2018 can be found here: http://rpubs.com/matungawalla/ABJ45T_2018AM Treats include: 1) Want to know about the 2017 NHTS? - Find out at Session 336 2) Want to know how to visualize NHTS data? - See it at the Task Force Meeting 3) All you wanted to know about large passive data but were too afraid to ask :-) - Ask away at Session 403 4) How does Freight interact with Household Travel? - Session 738 might have some answers. Happy Holidays, Krishnan -- Krishnan Viswanathan Chair, ABJ45T

7 years, 7 months

[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, 7 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, 7 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, 7 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, 7 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, 8 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, 8 months

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CTPP December 2017