Using Traditional Household Survey and GPS Data for Advanced Travel Behavior and Emission Analysis

Abstract

National and regional travel survey data have been widely collected in recent years. This thesis research employs National Household Travel Survey (NHTS) and Maryland GPS survey data sources to accomplish the following two objectives. The primary goal of the study is to assess how residential density, employment density, land use mix, and average block size measured at both the residential locations and at the activity space level influence vehicle miles travelled (VMT) with the Maryland GPS survey data. The secondary goal of the project is to examine the impact of time of day, day of week, trip purpose, vehicle type, gas price on vehicle soak time distributions with the 2009 NHTS data. Econometric models with panel data and Generalized Gamma techniques are developed for the impact analysis.