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TRANSPORTATION PROGRAMS Building a Database for Estimation of an Advanced Activity-Based Travel Model from the NHTS Petya Maneva (Presenter), Vladimir Livshits Maricopa Association of Governments (MAG), Phoenix, AZ Aichong Sun (PAG), Tuscon, AZ Peter Vovsha, Surabhi Gupta Parsons Brinckerhoff, New York, NY

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Page 1: Building a Database for Estimation of an Advanced Activity ...onlinepubs.trb.org/onlinepubs/conferences/2011/NHTS1/Maneva.pdfBuilding a Database for Estimation of an Advanced Activity-Based

TRANSPORTATION PROGRAMS

Building a Database for Estimation of an Advanced Activity-Based Travel Model

from the NHTSPetya Maneva (Presenter), Vladimir Livshits

Maricopa Association of Governments (MAG), Phoenix, AZAichong Sun (PAG), Tuscon, AZ

Peter Vovsha, Surabhi GuptaParsons Brinckerhoff, New York, NY

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Copyright © 2011

TRB NHTS Conference - June 6-7, 2011, Washington, D.C.

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Copyright © 2011

TRB NHTS Conference - June 6-7, 2011, Washington, D.C.

Survey Time Line

Mar-08 Apr-08

May-08 Jun-08

Jul-08 Aug-08

Sep-08 Oct-08

Nov-08 Dec-08

Jan-09 Feb-09

Mar-09

Sept.

Oct.

Nov. 2008

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7,068 HH,Single dayWeekday Travel5,067 HH(615 incomplete)10,956 Persons41,444 Trips

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Copyright © 2011

TRB NHTS Conference - June 6-7, 2011, Washington, D.C.

Quality Checks: Half-Tour and Tour Mode

Mode Which Trips? Half- Tour Mode

Tour Mode

Unknown Some Trips on Half-Tour Can Identify Can Identify

All Trips on Half-Tour Can not identify

From other half-tour (Symmetry)

All Trips on Tour Can not identify

Can not identify

Known, Not Available

Some or All Trips Not Available

Not Available

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Copyright © 2011

TRB NHTS Conference - June 6-7, 2011, Washington, D.C.

Quality Check: Start/End at Home

Start/End Example Validity Remark

Start not from Home

Trip from Airport/Outside of Region

Valid reason

Missing previous Trip Invalidreason

FrequentCase

End not at Home

Trip to Airport/ Outside of Region

Valid reason

Missing last trip Invalidreason

FrequentCase

Completeness of tours in terms of starting and ending at home; the following cases are distinguished:

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Copyright © 2011

TRB NHTS Conference - June 6-7, 2011, Washington, D.C.

Consistency of time-related tour attributes Missing Departure / Arrival Trip Time Conflicting trip/activity time chain

Arrival time before departure time Moving backward in daily schedule

Unrealistic reported trip duration vs. mode-specific skims from model

Fullness of trip destination coding Missing/unknown destination zones Destination outside the modeled region

(intercity trips)

Quality Checks

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Copyright © 2011

TRB NHTS Conference - June 6-7, 2011, Washington, D.C.

Identify HH members age less than 5 years Extract joint trips of other HH members with

kids under 5 years reported Is trip part of fully and partially joint tours ?

Fully Joint Tour – same trip information Partially Joint Tour - identify drop off or pick up?

Drop-off – set destination purpose to school* Pick-up – set origin purpose to school*

Imputed Trips = 1,961, Tours = 828

Imputing Trips for Household Members – under 5 years

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Copyright © 2011

TRB NHTS Conference - June 6-7, 2011, Washington, D.C.

Consistency of reported joint activities

Resolving data conflicts and creating a consistent entire-household pattern was developed and applied.

Impute Trips for Adults Only for Fully Joint Tours No conflict of schedule with other

reported trips 292 trips, 127 Tours imputed

Joint Activities

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Copyright © 2011

TRB NHTS Conference - June 6-7, 2011, Washington, D.C.

Daily Tour Rate by Person Type

AFTER SYNTHESIZING TRIPS

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Copyright © 2011

TRB NHTS Conference - June 6-7, 2011, Washington, D.C.

Logical checks Jobs (for worker occupation) available in Work

location TAZ? Workers are classified by 5 occupation categories

Sales, marketing Clerical, administrative, retail, Production, construction, farming, transport Professional, managerial, technical Personal care or services

Jobs in each TAZ are classified by 2-digit NAICScodes (26 categories) – correspond to 5 occupation categories

Students – student type (k-8, high school, college) vs. enrollment

Reconcile Trip Recordswith Land Use at Destination

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Copyright © 2011

TRB NHTS Conference - June 6-7, 2011, Washington, D.C.

Sampling: Conduct interviews by cell phone and Internet Better represent respondents by age Better represent Hispanics

What Can Be Improved

Household Ethnicity 2008 NHTS Weighted 2008 ACS

Hispanic 10.50% 30.87%

White 77.50% 58.63%

Black/African American 4.60% 4.10%

American Indian 2.90% 1.86%

Asian/Pacific Islander 1.10% 2.86%

Other, Refused, etc. 3.40% 1.68%

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Copyright © 2011

TRB NHTS Conference - June 6-7, 2011, Washington, D.C.

Tours by Purpose & Aggregate Mode (MAG/PAG NHTS)

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Copyright © 2011

TRB NHTS Conference - June 6-7, 2011, Washington, D.C.

Completeness of Trip Records

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Copyright © 2011

TRB NHTS Conference - June 6-7, 2011, Washington, D.C.

70%

75%

80%

85%

90%

95%

100%

Valid Mode Closed Tour Valid Time ValidPrimary

Destination

All Valid SymmetricMode

MAG/PAG

CMAP

MTC

ARC

SANDAG

Completeness of Tour Records

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Copyright © 2011

TRB NHTS Conference - June 6-7, 2011, Washington, D.C.

Good quality overall: Reasonable trip & tour rates per person &

HH comparable to other regions Validity and completeness of trip records

at the level of other surveys or better Can be used for development of advanced

ABM but requires processing & imputations

Conclusions - MAG/PAGNHTS Survey

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Copyright © 2011

TRB NHTS Conference - June 6-7, 2011, Washington, D.C.

Thank you!

Questions?

[email protected]

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Copyright © 2011

TRB NHTS Conference - June 6-7, 2011, Washington, D.C.

Good quality overall: Reasonable trip & tour rates per person & HH comparable

to other regions Validity and completeness of trip records at the level of

other surveys or better Can be used for development of advanced ABM but requires

processing & imputations Lessons learned:

Incomplete HHs with missing persons – valid survey criteria Very small sample of transit users Children under 5 are not included Inconsistencies between joint travel records (GPS,

automatic logic checks) Many problems can be fixed by subsequent manual quality

control, analysis, complementary data collection and imputation

Conclusions - MAG/PAGNHTS Survey

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Copyright © 2011

TRB NHTS Conference - June 6-7, 2011, Washington, D.C.

Logical checks: Non-Mandatory trips by purpose

Employment or Other Land Use Shopping Maintenance Eating

Out Visiting Discretionary

Retail √ √ √ √

Information √

Real Estate, Renting, Leasing √

Health Care, Social Assistance √ √

Arts, Entertainment √ √

Accommodation, Food Services √ √ √

Public Admin √

# Households √ √

Reconcile Trip Recordswith Land Use at Destination

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Copyright © 2011

TRB NHTS Conference - June 6-7, 2011, Washington, D.C.

Daily Tour Rate by Person Type

No Travel Reported for Children under 5 years

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Copyright © 2011

TRB NHTS Conference - June 6-7, 2011, Washington, D.C.

SAN DIE GO (SANDAG)

ATLANTA (ARC)

BAY AREA (MTC)

CHICAGO(CMAP)

PHOENIX –TUCSON

(MAG/PAG)NHTS

Survey Year 2006 2001 2000 2007-08 2008

#HHs 3,651 8,069 15,064 14,315 7,068

#Days 1 2 2 1-2 1

Cross-Region Comparison

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Copyright © 2011

TRB NHTS Conference - June 6-7, 2011, Washington, D.C.

Analysis of discrepancies & fixes (manual): Geocoding errors Problem with Land Use data Survey coding errors

Worker job type Student type definition

Reconcile Trip Recordswith Land Use at Destination

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Copyright © 2011

TRB NHTS Conference - June 6-7, 2011, Washington, D.C.

Data Processing

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Copyright © 2011

TRB NHTS Conference - June 6-7, 2011, Washington, D.C.

Person Type Work School University Others

Full-time worker 2,834 0 4 2,176

Part-time worker 482 0 0 1,048

University student 102 0 249 251

Non-worker 64 4 5 2,636

Retiree 19 0 0 3,046

Driving school child 28 232 0 151

Pre-driving school child 3 1,016 0 616

Pre-school child 0 88 0 53

Tours by Purpose & Person Type (MAG/PAG NHTS)

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Copyright © 2011

TRB NHTS Conference - June 6-7, 2011, Washington, D.C.

Analysis of discrepancies and fixes (manual): Survey mode coding errors Compare reported trip duration to skims

Trip Duration = β*Skim

PAG skims are a bit too fast; Revision is underway

Geocoding fixes for availability of Express/Rapid Bus

Reconcile Trip Records with Level-of-Service (LOS) Skims

Trip Mode β (MAG) β (PAG)Highway 1.01 1.15Transit (Bus) 0.85 1.20

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Copyright © 2011

TRB NHTS Conference - June 6-7, 2011, Washington, D.C.

Logical checks: Availability of reported mode

Transit IVT = 0 (by mode) Drive option for person under 16 yrs

Unrealistic reported trip duration vs. mode-specific skims from model

Number of records by modes No valid observations for Commuter

Rail & Urban Rail Very few cases for Express/Rapid bus

Reconcile Trip Records with Level-of-Service (LOS) Skims

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Copyright © 2011

TRB NHTS Conference - June 6-7, 2011, Washington, D.C.

Tours by Purpose & Mode (MAG/PAG NHTS)

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Copyright © 2011

TRB NHTS Conference - June 6-7, 2011, Washington, D.C.

0

0.01

0.02

0.03

0.04

0.05

0.06

0.07

0.08

0.09

0.1

Under 5 years

5 to 9 years

10 to 14

years

15 to 17

years

18 and 19

years

20 years

21 years

22 to 24

years

25 to 29

years

30 to 34

years

35 to 39

years

40 to 44

years

45 to 49

years

50 to 54

years

55 to 59

years

60 and 61

years

62 to 64

years

65 and 66

years

67 to 69

years

70 to 74

years

75 to 79

years

80 to 84

years

85 years and over

Variation in Respondent Age Distribution 2008 ACS2008 NHTS

Per

cen

tag

e

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