Greater Triangle Travel Study, 2006 (ICPSR 34714)

Published: Jul 2, 2013 View help for published

Principal Investigator(s): View help for Principal Investigator(s)
Stacey Bricka, NuStats; Ramon Dickerson, NuStats


Version V1

The 2006 Greater Triangle Household Travel Survey was designed to collect activity and travel information for all household members during a specific 24-hour period. The survey relied on the willingness of regional households to (1) provide demographic information about the household, its members and its vehicles and (2) have all household members record all travel-related details for a specific 24-hour period, including address information for all locations visited, trip purpose, mode, and travel times. The primary objective of this survey effort was to document demographic and travel behavior characteristics of regional travelers in order to update the current regional model and to develop a new, more robust travel demand model for the 12-county region. In addition, the data would be used to support other studies relating to regional travel, including assessing response to policy initiatives and the identification of transportation infrastructure investment priorities. Demographic variables include income, household size, vehicle ownership, as well as the age, gender, employment status, and school status of each household member.

Bricka, Stacey, and Dickerson, Ramon. Greater Triangle Travel Study, 2006. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2013-07-02.

Export Citation:

  • RIS (generic format for RefWorks, EndNote, etc.)
  • EndNote

Modeling Area

Variables were removed to prevent disclosure risk and preserve respondent anonymity.

Inter-university Consortium for Political and Social Research
2005-08-01 -- 2006-06-30
2005-08-01 -- 2006-06-30

For additional information, please refer to the Metropolitan Travel Survey Archive Web site.

The survey sample was selected randomly, using a probability-based selection process. A major requirement for probability-based samples is that the relative probability (or chance) of any given household being selected is known. The final sample drawn for the survey included proportions of listed and unlisted samples at the ratio of 60 percent listed and 40 percent unlisted. For additional information regarding sampling, please refer to the Original P.I. Documentation section of the ICPSR codebook.


The study area is comprised of twelve counties: Durham, Orange, Wake, Chatham, Lee, Harnett, Johnston, Nash, Franklin, Vance, Granville, and Person. A review of Census 2000 data (particularly the journey-to-work details) as well as model specifications resulted in the division of these twelve counties into two regions: inner and outer core. The inner core areas include the complete counties of Durham, Orange, and Wake, portions of Chatham, Franklin, Granville, Harnett, Johnston, and Person Counties (defined at the tract level) and the southern portion of Nash County. The outer core is comprised of the remainders of Chatham, Franklin, Granville, Johnston, and Person Counties, an additional portion of Harnett County, and all of Lee and Vance Counties

individual, household
survey data

The response rate for this survey was 25%.



2018-02-15 The citation of this study may have changed due to the new version control system that has been implemented. The previous citation was:
  • Bricka, Stacey, and Ramon Dickerson. Greater Triangle Travel Study, 2006. ICPSR34714-v1. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2013-07-02.

2013-07-02 ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection:

  • Checked for undocumented or out-of-range codes.

The data contain a weight variable that users may wish to use in analysis. The original data were first weighted for geography, and then an iterative process was used that readjusted the weight to balance the proportions of the three variables based on the interim weights. After four rounds, the weights converged and the weighted survey proportions matched those of the census. For additional information regarding weights, please refer to the Original P.I. Documentation section of the ICPSR codebook.


  • Data in this collection are available only to users at ICPSR member institutions.

ICPSR logo

This study is provided by ICPSR. ICPSR provides leadership and training in data access, curation, and methods of analysis for a diverse and expanding social science research community.