TRCLC 17-4

Monitoring Daily Activities and Linking Physical Activity Levels Attributed to Transportation Mobility Choices and Built Environment

PIs: Jun-Seok Oh Ph.D, Department of Civil and Construction Engineering (WMU) 
Ala Al-Fuqaha Ph.D , Department of Computer Science (WMU)
Sangwoo Lee, Department of Human Performance and Health Education (WMU)
Stephen Mattingly, Department of Civil Engineering (UTA)
Dr. Kate Hyun, Department of Civil Engineering (UTA)
Project Start and End Dates: 8/15/2017 – 8/31/2018 
 

Brief Description of Research Project:

Physical activities become an importance part of human lives for healthy living. Research has shown that increase in physical and cardiovascular activities tends to decrease in diseases. Although there are various types of physical activities, non-motorized transportation options like walking, running and cycling provide natural ways of being physically active. Accordingly, non-motorized transportation options began being attracted thanks to their natural health benefits. The health benefit of the active transportation comes from participants’ physical activities; however, there has been very limited effort in analyzing and quantifying participants’ actual physical activities. This study proposes to identify and categorize health outcomes impacted by daily physical activity and quantify the amount of physical activities by different transportation mode users in different areas associated with their daily travel activities. By employing recent wearable devices with sensing and GPS tracking technology, the amount of physical and cardiovascular activities will be quantified by travel activities and transportation mode used. This research will help in incorporating human health into transportation planning by addressing health outcomes impacted by physical and cardiovascular activities associated with transportation options. 

 

Anticipated Impact/Benefits of the Project:

The primary goal of the research is to explore the factors impacting the amount of physical activity an individual engages in and the proportion of an individual’s daily activity attributable to transportation activities.  Specific research objectives include:  

  1. To develop a strategy for monitoring and recording the daily physical activity of a representative sample of 200 individuals in a small urban area and a large metropolitan area. 
  2. To develop data fusion strategy to combine wearable data (including heart rate) with smart phone data and Google Map features/data.
  3. To identify and categorize health outcomes impacted by daily physical activity. 
  4. To develop techniques for categorizing different land use and site design strategies by considering their relationship with transportation-related physical activity.
  5. To use the fused data to classify a physical activity as recreational, activity-related (e.g. employment or shopping), or transportation-related
  6. To create a preliminary scheme for using speed patterns/profiles to classify mode choice.
  7. To test the statistical association between the physical activity levels of individuals, their socioeconomic and employment profiles and the nearby land use and site design based on a set of predetermined hypotheses. 
  8. To develop performance measures that include both physical activity (based on potential health impact) and travel time for evaluating transportation system, land use, and site design decisions.