This study examines long-distance (overnight) travel behavior by residents of the state of
Georgia. Based on a survey conducted in 2017–2018, we modeled the number of domestic …

Long-distance travel research is limited because of the lack of robust data and the
complexity of defining a long-distance trip. The patterns of infrequent long-distance trips are …

In the early years of transportation planning and highway infrastructure development in the
United States the focus was on intercity or long-distance travel, a contrast to the metropolitan …

In transportation, informal transport refers mainly to the use of paratransit services in the
developing world. In this paper we argue that informal travel may include, in addition to …

In post-COVID era, more agencies will seek to incorporate long-distance or overnight travel
into their travel forecasting. This paper leverages a unique survey dataset (n= 440) that …

Most of the earlier activity based models (ABMs) largely relied on a tour-based modeling
paradigm which explicitly predicts tour frequency and then adds details including stop …

The objective of this research was to isolate the factors influencing non–distance-based
definitions of long-distance travel to help long-distance survey makers know which …

The COVID-19 pandemic illustrated that undirected travel (UT), or trips taken for their own
sake, can partly compensate for a reduction in destination-based trips due to governmental …

Telecommuters (individuals working from home), and non-telecommuters (individuals
working at the workplace) might have significantly different daily time-use patterns. For …

This paper seeks to understand extreme public transit riders in Beijing using both traditional
household surveys and emerging new data sources such as Smart Card Data (SCD). We …