Hi All,
CTPP together with Caltrans, San Diego Association of Governments, Southern California Association of Governments, Sacramento Council Of Governments, and Metropolitan Transportation Commission are offering FREE training on CTPP Between November 12 - 22 in San Diego, Los Angeles, Sacramento, and Oakland, California. This training is free. Registration, a two day time commitment, and your own laptop are required. You will learn about the CTPP program, the largest special tabulation of American Community Survey (ACS) produced, and it is transportation specific. CTPP contains flows from home to work, by mode and down to tract. You will also learn good data practice, and a tremendous amount of nuance regarding this and other data types.
Subjects covered:
1. Understanding and dealing with data issues
2. Transportation data and how to get it
3. What kind of data is collected and how is it acquired
4. Census and CTPP geography
5. CTPP data access software
Registration is limited and open now:
Nov 12 - 13, San Diego -https://www.eventbrite.com/e/census-transportation-planning-products-ctpp-program-training-tickets-79051672681<https://www.eventbrite.com/e/census-transportation-planning-products-ctpp-p…>
Nov 14 - 15, Los Angeles - https://www.eventbrite.com/e/census-transportation-planning-products-ctpp-p…<https://www.eventbrite.com/e/census-transportation-planning-products-ctpp-p…>
Nov 18 - 19, Sacramento - https://www.eventbrite.com/e/census-transportation-planning-products-progra…
Nov 21 - 22, Oakland - https://www.eventbrite.com/e/census-transportation-planning-products-progra…
Penelope Weinberger
CTPP Program Manager
AASHTO
Ctpp.transportation.org
All,
The 2012-2016 Census Transportation Planning Products (based on American Community Survey data) are available, and free training is being provided for accessing and using the data. This training is designed for anyone who works on long-range planning, congestion management, travel forecasting, air quality analysis, demographics, and GIS. It is appropriate for consultants and students as well. Please circulate the below Eventbrite link for the training, and sign up if you'd like to attend. We have space for 60 attendees.
What: Census Transportation Planning Products training, with emphasis on 2012-2016 dataset
Who: Transportation planners and consultants, transit planners, students
When: November 21st and 22nd
Where: Oakland, Caltrans District 4 offices and Bay Area MetroCenter (old MTC building)
https://www.eventbrite.com/e/75054763819
Please let me know of any questions.
Thanks,
Shimon
Shimon Israel
Senior Planner, Metropolitan Transportation Commission
375 Beale Street, Suite 800
San Francisco, CA 94105
415-778-5239
This may be of interest to some:
TRB Webinar: Understanding and Using Census Data for Tribal
Transportation Programs
Tribal transportation planners are invited to a TRB webinar on Thursday,
October 17, 2019, from 1:00 PM to 2:30 PM ET. This webinar will provide
information about accurately counting tribal communities in the American
Community Survey and the 2020 census. The American Indian/Alaska Native
(AI/AN) census has a significant role in several federal fund
distribution formulas, including the Tribal Transportation Program (TTP)
administered by the Federal Highway Administration and Bureau of Indian
Affairs. The TTP's reliance on an Indian Housing Block Grant regulation
for determining AI/AN population for each federally recognized tribe has
seen fluctuations based on 2016 rule changes. The United States is also
actively preparing for the 2020 census.
This webinar was organized by the TRB Standing Committee on Native
American Transportation Issues.
There is no fee to attend this webinar; however, sign into MyTRB.org to
view registration information.
https://webinar.mytrb.org/Webinars/Register/1317
Webinar Presenters
Norm DeWeaver, Norm DeWeaver Consulting
Dick Winchell, Eastern Washington University
Moderated by: Ron Hall, Bubar & Hall Consulting LLC
Registration questions? Contact Reggie Gillum at RGillum(a)nas.edu.
--
Ed Christopher
Transportation Planning Consultant
708-269-5237
Apologies for cross posting but thought it might interest people here.
The abstract & link to the whole paper is below.
Machine Learning (ML) methods have been proposed in the academic literature
as alternatives to statistical ones for time series forecasting. Yet, scant
evidence is available about their relative performance in terms of accuracy
and computational requirements. The purpose of this paper is to evaluate
such performance across multiple forecasting horizons using a large subset
of 1045 monthly time series used in the M3 Competition. After comparing the
post-sample accuracy of popular ML methods with that of eight traditional
statistical ones, we found that the former are dominated across both
accuracy measures used and for all forecasting horizons examined. Moreover,
we observed that their computational requirements are considerably greater
than those of statistical methods. The paper discusses the results,
explains why the accuracy of ML models is below that of statistical ones
and proposes some possible ways forward. The empirical results found in our
research stress the need for objective and unbiased ways to test the
performance of forecasting methods that can be achieved through sizable and
open competitions allowing meaningful comparisons and definite conclusions.
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0194889
Dear colleagues,
The Census Data for Transportation Planning Subcommittee of the Urban Transportation Data and Information Systems Committee, ABJ30(1) invites you to submit posters for a session focusing on CTPP 2012-2016: New Data Analyses and Uses. Abstracts are due on September 5th. More information is below.
Call Title
CTPP 2012-2016: New Data Analyses and Uses
Sponsoring Committee
Census Data for Transportation Planning Subcommittee of the Urban Transportation Data and Information Systems Committee, ABJ30(1)
Call Description
The Census Data for Transportation Planning Subcommittee of the Urban Transportation Data and Information Systems Committee, ABJ30(1) invites you to submit posters for a session focusing on uses of the new CTPP 2012-2016 data. In keeping with the theme of our parent committee, topics focusing on transportation planning and urban data are requested. Posters will be displayed at the TRB Annual Meeting in Washington, DC, January 2020. Authors of the most innovative posters may be invited to present at the subcommittee meeting or have their work displayed on the ABJ30 website.
Background
New CTPP data was released in March 2019 for the years 2012 to 2016. The Subcommittee is interested in learning how users of the new data are utilizing the data for analysis and visualization. In the past, CTPP data has been used as inputs into travel demand models, for corridor level analysis, and for environmental justice analysis to name just a few uses.
Have you noticed an increase in data quality in the latest CTPP package since the Census Bureau increased the ACS sample in 2012? Have the geocoding results affected your ability to do your analysis? While you may still be peeling back the layers of the onion that is CTPP data, what have you found so far?
The Subcommittee is interested in learning about what you have discovered in your work with this package. The end product can be a map, graphic, or analytic finding aimed at conveying information to other people or within your organization. This is also an opportunity to share the challenges and lessons learned from digging into a large complex dataset and distilling it into a useful analytic product.
Evaluation Criteria
Posters must incorporate data from the 2012-2016 CTPP. Additional data sets may be used and include but are not limited to other Census data sets and non-Census data sets. Examples include older CTPP packages, the American Community Survey, NHTS, LEHD, and Decennial Census data and Economic Census data.
A broad range of abstracts relating to the topic are welcome. Preference will be given to posters which emphasize the following:
* Analysis to solve complex problems
* Creative ways to visualize CTPP data
* New approaches to analyzing CTPP data
* Posters that use demographic data to improve transportation planning
* Topics that address applications towards urban areas
A session-development panel will review all abstracts to identify those that most effectively demonstrate innovative analysis of CTPP data. The subcommittee hopes to identify posters representing a diverse array of uses and applications. Applicants will be notified in October of their selection.
Poster Session Guidelines
Those selected for this session will prepare a poster for presentation at the 2020 Annual Meeting in January. Participants are not required to prepare a paper. Each presenter will be provided with a table and a 4' x 8' vertical panel for displaying posters and other materials. An electrical connection will be available at each station. Telephone and internet connections will not be available. TRB's guidelines for poster presenters are not yet available, but it is expected that all guidelines once available should be followed. Presenters are expected to register for the TRB meeting and participate in this session. Presentation teams are welcome.
Submission Instructions
A special deadline for submittals has been established. Interested candidates should submit an abstract explaining their project and poster concept by 11:59 pm EDT on Thursday, September 5, 2019. The abstract should be no more than a single one-sided page in length (approximately 500 words) and include:
* Contact information (name, agency/organization, phone number, email address)
* Title of your proposed poster for use in the Annual Meeting agenda
* Data sources that your poster will focus on
* Explanation of the project, research, or process sets
* Any innovative discoveries or lessons learned about the 2012-2016 CTPP data that would be useful to the transportation community
* Preliminary description of the information to be conveyed in your poster
You are welcome to include links to on-line materials that illustrate the analysis or results described in your abstract but this will not substitute for the information requested in the abstract.
The subcommittee will not consider sales presentations for products or services.
Abstracts should be in a PDF format and submitted to:
Clara Reschovsky
Clara.reschovsky(a)dot.gov
Include the term "ABJ30(1) Poster Abstract 2020" in the subject line.
For More Information
Questions about the poster session or the abstract submittal process should be directed to:
Clara Reschovsky
clara.reschovsky(a)dot.gov
202-366-2857
Kathy Yu
kyu(a)nctcog.org
817-608-2343
We are beginning work on a report built around CTPP data and are surprised by the lack of material on mode and other characteristics of JTW by sex. Is this material available the CTPP? I know we can get this at a place level from the ACS. We knows that certain crosstabs were avoided in an effort to protect individual identities or reduce data production costs, but are surprised to find that this was one that didn't make the cut, at least for Parts 1 and 2.
Cliff Cook
Clifford Cook
Senior Planning Information Manager
Cambridge Community Development Department
344 Broadway, Cambridge, MA. 02139
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www.cambridgema.gov/CDD<http://www.cambridgema.gov/CDD.aspx>
ccook(a)cambridgema.gov<mailto:ccook@cambridgema.gov>
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Dara
Thank you for these materials. They are very helpful. After taking a closer look at the CTPP flow tables we are still left with a question about why the components of certain tables do not add up to the table total. For example when we filter for Cambridge, MA as both residence and workplace, the "Total" shown in Table B303100 is 37,500 while the component cells add up to 22,470. This problem appears in all the part 3 tables whose universe is household workers. (We do not see a similar issue in all tables based purely in worker characteristics, regardless of living arrangement. Those seem to consistently sum to 27,725.)
Can anyone shed light on why the table components to sum to the sum stated in the table?
Thanks
Cliff Cook
Clifford Cook
Senior Planning Information Manager
Cambridge Community Development Department
344 Broadway, Cambridge, MA. 02139
[cid:image001.png@01CF4355.A65408C0] <https://www.facebook.com/CDDat344> [cid:image002.jpg@01CF4357.3478C720] <https://twitter.com/cddat344> [cid:image010.jpg@01CF4357.3478C720] <http://instagram.com/cddat344>
www.cambridgema.gov/CDD<http://www.cambridgema.gov/CDD.aspx>
ccook(a)cambridgema.gov<mailto:ccook@cambridgema.gov>
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From: Dara Goldberg (DCP) <DGoldberg(a)planning.nyc.gov>
Sent: Monday, August 12, 2019 11:13 AM
To: Cook, Cliff <ccook(a)cambridgema.gov>
Cc: Werner, Bailey <bwerner(a)cambridgema.gov>; Le Zhang (DCP) <LZHANG(a)planning.nyc.gov>
Subject: RE: 2012-16 CTPP Question about Counts
Hello Cliff,
The reason the flows are off is because the CTPP methodology for reporting geographies below the county level has been revised for this release (though AASHTO has yet to release documentation stating such). Missing records for smaller geographies are no longer imputed for Parts 2 and 3, therefore, tracts/places will no longer add to counties, nor will they have complete counts. This has resulted in a "truer" data set, albeit with missing records. Part 1 remains the same (i.e. "complete"), because it represents ACS data at place of residence. I've attached a memo summarizing the challenges with the new release.
My colleague Le, who I have CC'd, put together the attached presentation explaining this issue, which we shared with our MPO members a couple of months ago. Le will be presenting this to the CTPP oversight board in Arkansas next week. Unfortunately, there was no documentation released accounting for the methodological change, and we believe transportation planners will rely on the current release to have a "complete" count as the prior releases had. Therefore, this release is not comparable to the prior releases for smaller geographies.
In the meantime, we have assumed a proportional allocation to account for missing records (though this of course introduces a bias into the results - also covered in Le's presentation).
Hopefully this helps! Happy to answer any questions you might have.
Regards,
DARA GOLDBERG
SENIOR PLANNER | REGIONAL PLANNING DIVISION
NYC DEPT. OF CITY PLANNING
120 BROADWAY, 31st FLOOR * NEW YORK, NY 10271
212-720-3312 I DGOLDBERG(a)planning.nyc.gov<mailto:DGOLDBERG@planning.nyc.gov>
http://www.nyc.gov/planning<https://gcc01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.nyc.go…>
From: ctpp-news [mailto:ctpp-news-bounces@chrispy.net] On Behalf Of Cook, Cliff
Sent: Monday, August 12, 2019 10:58 AM
To: ctpp-news(a)chrispy.net<mailto:ctpp-news@chrispy.net>
Cc: Werner, Bailey <bwerner(a)cambridgema.gov<mailto:bwerner@cambridgema.gov>>
Subject: [CTPP] 2012-16 CTPP Question about Counts
To All
We are working to collect information about the resident labor force in Cambridge, Massachusetts. We set the residence as the State-Place of Cambridge city, MA, and the workplace as POW State-Place of Cambridge city, MA.
The numbers in the CTPP Flows tables are not adding up as expected. Table A304100 - Total workers (1) (Workers 16 years and over) provides an estimate of 27,725 (MOE 847), whereas Table B303100 - Household income in the past 12 months (2016$) (9) (Workers 16 years and over in households) provides a total estimate of 37,300 (MOE 2,054). Furthermore, when we add up the count of workers in each income bracket in Table B303100 they sum to 22,470.
I could understand if the total number of resident workers 16 and older in households was smaller than total workers over 16, but we cannot make sense of how the reverse could be true. It also doesn't explain why the sum of all categories is smaller than the listed total. Could data suppression account for this? That would seem unlikely at the level of a city of our size. Could the results be due to data suppression at smaller geographic levels having a ripple effect on a larger geo? I understand workers with an unclear or imprecise work address are excluded from the flow data. Are these issues a result of that screening or is this a different type of issue?
Interestingly, the numbers make sense as expected when we look at the Residence tables for the same geography. Table A102101 - Total workers (1) (Workers 16 years and over) provides an estimate of 61,925 (MOE 1,008) and Table A103100 - Total Workers in households (1) (Workers 16 years and over in households) estimates 54,195 (MOE 1,075).
Any help on interpreting our resident labor force stats is appreciated.
Cliff Cook
Clifford Cook
Senior Planning Information Manager
Cambridge Community Development Department
344 Broadway, Cambridge, MA. 02139
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