Towards a Holistic Understanding of Quality of Life: An Analysis of Activity-Travel Patterns on Non- Mid-week Days

PI: Siva Srinivasan, Ph.D., University of Florida

Co-PI:  Xia Jin, Ph.D., Florida International University

Final Report (pending)

UTC Project Information

Abstract
The practice of travel-demand forecasting continues to place substantial (if not all) emphasis on travel during a typical “mid-week” (Tuesday – Thursday) day. While this is adequate from the stand point of understanding congestion due to commute, such an approach, this does not paint a complete picture of the overall travel patterns of people. The intent of this study is to examine the activity-travel patterns for non mid-week days (Friday through Monday) that are typically ignored by the state-of-the-practice planning methods. The focus is on modeling the maintenance- and discretionary- activity decisions (duration and time of day) as such episodes are not undertaken on a daily basis and are likely to be undertaken on non-working days. Data from two national-level surveys from multiple years will be used to examine differences in activity participation over the days of the week and the changes in these weekly patterns over the last decade. The study also examines whether analysis from the two different surveys (trip-based and time-use surveys) yield the same patterns. We believe that the empirical findings will help us identify what aspects of travel patterns might be missed/under-emphasized by the state-of-the-practice focus on mid-week periods. Further, knowing which market segments have pronounced differences across the days of the week would be valuable in any local agency assessing their own need for weekend/shoulder-period travel-demand models (depending on the demographic composition of their own region). Preliminary insights can also be gained on how the structure of a demand-model system for non-mid-week days might be different from those of mid-week days.