Abstract
Among the many ways to improve a transit system is a reduction in travel time as experienced by the passenger. Hence, passenger waiting times remain a topic of interest among transit planners. In this study, the effects of transit vehicle delays on passenger waiting time is investigated, as well as the effects of transfer status, boarding location, time of day, and rider travel frequency. The data used in this study were collected using automatic fare collection (AFC) and automatic vehicle location (AVL) technology. A trip chaining algorithm is used to infer the trajectory of each passenger, and as a result produce measures of passenger waiting time and vehicle delay. An analysis of an arterial Bus Rapid Transit (aBRT) line in Saint Paul, Minnesota reveals a waiting time model consistent with previous literature, a positive relationship between vehicle delay and passenger waiting time, and an insignificant relationship between transfer status and passenger waiting time. Finally, a simple model relating waiting time and vehicle delay is provided for the purpose of transit planning and waiting time estimation.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 299-311 |
| Number of pages | 13 |
| Journal | Public Transport |
| Volume | 12 |
| Issue number | 2 |
| DOIs | |
| State | Published - Jun 1 2020 |
Bibliographical note
Funding Information:This research is conducted at the University of Minnesota Transit Lab , currently supported by the following, but not limited to, projects: National Science Foundation, award CMMI-1637548. Minnesota Department of Transportation, Contract No. 1003325 Work Order No. 15. Minnesota Department of Transportation, Contract No. 1003325 Work Order No. 44. Transitways Research Impact Program (TIRP), Contract No. A100460 Work Order No. UM2917. The authors are grateful to Metro Transit for sharing the data. Any limitation of this study remains the responsibility of the authors.
Funding Information:
This research is conducted at the University of Minnesota Transit Lab , currently supported by the following, but not limited to, projects: National Science Foundation, award CMMI-1637548. Minnesota Department of Transportation, Contract No. 1003325 Work Order No. 15. Minnesota Department of Transportation, Contract No. 1003325 Work Order No. 44. Transitways Research Impact Program (TIRP), Contract No. A100460 Work Order No. UM2917. The authors are grateful to Metro Transit for sharing the data. Any limitation of this study remains the responsibility of the authors.
Keywords
- Automatic fare collection (AFC)
- Automatic passenger count (APC)
- General feed transit specification (GTFS)
- Transit
- Trip chaining algorithm
- Waiting time
