Analysis of Address-Based Employment and Demographic Data Sources For Travel Modeling and Transportation Planning
Advanced Search
Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.

Search our Collections & Repository

For very narrow results

When looking for a specific result

Best used for discovery & interchangable words

Recommended to be used in conjunction with other fields

Dates

to

Document Data
Library
People
Clear All
Clear All

For additional assistance using the Custom Query please check out our Help Page

i

Analysis of Address-Based Employment and Demographic Data Sources For Travel Modeling and Transportation Planning

Filetype[PDF-1.77 MB]


English

Details:

  • Creators:
  • Corporate Creators:
  • Corporate Contributors:
  • Subject/TRT Terms:
  • Publication/ Report Number:
  • Resource Type:
  • Geographical Coverage:
  • Edition:
    Final Report
  • Corporate Publisher:
  • Abstract:
    Marketing support firms compile consumer and business data to provide business-to-business and business-to-consumer products. These firms sell the most up-to-date data to companies for marketing campaigns, through mailing, emailing, and other solicitations to potential customers. Two of the largest and most established providers of this type of data for the private sector, InfoGroup and Dun & Bradstreet, offer address-based employment and consumer (demographic) data to transportation planning agencies, which can supplement traditional sources of employment and demographic data like the U.S Census and the Quarterly Census of Employment from a state Department of Labor. These new data sources offer significant opportunities for travel modeling and transport analysis for the Vermont Agency of Transportation (VTrans) for the following types of analyses: Economic growth/impacts modeling and calculation; Disaggregate travel modeling calibration and validation; Accessibility calculations; and Vulnerable populations identification. However, the fact that there are only two known providers for this type of high-resolution data and that they do not have a long history of supporting transportation agencies presents some risk for the Agency. The goal of this project was to reduce that risk by assessing samples of the data and gathering information on its uses from the experience of others. The purpose of this project was to obtain samples of the data being offered from both vendors, to conduct an evaluation of its quality and accuracy for travel modeling and transportation analysis, and to solicit other users in the travel/transport modeling community for experiences with this type of data.
  • Format:
  • Collection(s):
  • Main Document Checksum:
  • Download URL:
  • File Type:

Supporting Files

  • No Additional Files
More +

You May Also Like

Checkout today's featured content at rosap.ntl.bts.gov