This project consists of two research components. The objective of the first component is to
develop an approach to resample social media data in order to reduce biases and errors …

Many studies demonstrated that social media data, especially Twitter data, have significant
potentials to develop models for estimating travel demand, managing operation, and …

This study explores the possibility of employing social media data to infer the longitudinal
travel behavior. The geo-tagged social media data show some unique features including …

Ubiquitous uses of social media platforms in smartphones have created an opportunity to
gather digital traces of individual activities at a large scale. Traditional travel surveys fall …

Household travel survey data is a critical input to travel behavior modeling, and it also can
be used to generate trip chains for activity-based traffic simulation. However, traditional …

In this paper, the authors explore Twitter information as a potential source for travel demand
estimation statewide. An inventory of geo-tagged tweets and Twitter trips are compared with …

Travel surveys provide valuable inputs to a variety of models. While they are well-
established, and reliable, they are also associated with large expenses (both in terms of time …

Travel surveys complemented by additional land use and socio-economic data have served
as primary inputs for travel demand models. A complete household survey with all the …

In the past few years, the social science literature has shown significance attention to
extracting information from social media to track and analyse human movements. In this …

The past two decades have seen a rapid increase in the amount of data being generated
due to advancements in communication and internet technologies. The pervasive use of …