@proceedings{6,
  keywords = {I72: Traffic and Transport Planning, Passenger Transportation, Planning and Forecasting, Public Transportation},
  author = {Ian Dunlop and Jeffrey Casello and Shannon Doherty},
  title = {Tracking the Transit Rider Experience: Using Smartphones to Measure Comfort and Well-Being Throughout the Trip},
  abstract = {<p>An experience sampling method using a smartphone application enables real-time observation of a rider s trip on transit to identify the triggers causing negative perceptions of personal comfort and wellbeing. Transportation models currently lack the sensitivity for these subtle influences on mode choice. This transit-oriented experience survey demonstrates the ability of this data collection technique to provide a rich qualitative and quantitative dataset that clearly traces the changes in transit rider perception through the entire trip chain, while unobtrusively tracking the participant via global positioning system (GPS). The study involved 60 students who were given a smartphone with the survey app installed. These participants took trips by public transit bus, either on a predefined route or for their day-to-day activities. The smartphone survey successfully captured heightened perceptions of anxiety and discomfort when the participants experienced undesirable situations like boarding a crowded bus, or waiting at a bus stop located on a busy street with few amenities. Attributes of the rider experience, such as their emotional state and wellbeing, were rated by the participants during each state of before, during and after their trip on transit. GPS tracking along with voice and text capture also enabled a contextual understanding of the situation the participants were experiencing. Negative experiences can also influence perception of wait time and travel time during a transit trip. By better understanding rider experience and perceptions, improvements can be made to transit service amenities to provide a more comfortable experience, build rider loyalty, and make transit a more desirable mode choice.</p>
},
  year = {2015},
  pages = {15},
  month = {01/2015},
  publisher = {Transportation Research Board},
  address = {Washington, D.C.},
  url = {https://trid.trb.org/view.aspx?id=1339490},
}