Leta Huntsinger | PB | 919-468-2156 | Stacey Bricka | NuStats | 512-306-9065 |

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Presentation transcript:

Leta Huntsinger | PB | | Stacey Bricka | NuStats | | Session 7 Capturing Special Population Groups through Targeted Sampling 11th National Transportation Planning Applications Conference May 6-10, 2007, Daytona Beach, Florida

Introduction and Overview

Special Populations Transit-using At least one trip by transit on travel day Low-income Households falling below the 2005 poverty line Census definition using size and income Non-motorized Walk or bike to work or school on travel day Students Report at least one trip to a university campus on travel day

Why Special Populations Regional Goals “Develop a regional transportation network that improves quality of life and the environment” “Convenient, accessible, and affordable public transportation system…” “A pedestrian and bicycle system that: provides an alternative means of transportation; allows greater access to public transit…” “A transportation plan that is integrated with local land use plans and development policies.” “A multi-modal transportation system which provides access and mobility to all residents, while protecting the natural environment, cultural resources, and social systems.”

Why Special Populations Regional Profile

Approach to Capture Populations US Census Data used to ID tracts Journey to Work Data: Transit-using and Non-motorized Population Data: Low-income SF4 Table PCT63: Students List of tracts fitting profile developed Tracts with highest likelihood identified Sample generated using listed records only

Approach

Distribution by Geography

Was the Targeted Sample Needed?

Bottom Line The number of samples was ok, but not high enough without the targeted sample.

Travel Characteristics

Demographic and Household Characteristics

Travel Characteristics

Choice Characteristics

Findings and Recommendations Target Sample is Recommended Target sample easy to develop and apply Needed the targeted sample to meet sample goals Travel Characteristics are Different Trip rates vary by population group Trip lengths are different Factors affecting mode choice vary Useful data Model development Sketch planning applications Policy issues