Analysis of the Reverse Trip Directions of Overnight Workers From Smart Card Data

Although night workers, who commute by public transit, are essential for the economy, their travel patterns have been unknown. Many researchers who have tried to understand the usage of smart card data have focused on mainly daytime workers’ travel patterns. This paper tried to figure out the veiled overnight workers' travel patterns in Seoul smart card data. In order to identify the overnight workers, we find their homes and workplaces from all visiting locations. We created four factors and scored them to all visiting locations: frequency of trips, the average duration of work hours, work hours deviation, and arrival time at work regularity. We combined the four factors to estimate the fitness index, which can help infer homes and workplaces from the card data. We found highly potential work-purpose trips by leveraging the fitness index and confronted the trips with nighttime trip records to choose overnight workers’ trips. To check whether our methodology captures the work-purpose trips, we analyzed the trip features of the work-purpose trips: the average starting and ending time of work, the average duration of work hours, and days of overnight work. The estimated trip features were not different from the typical surveyed workers’ trip information. The overnight workers start their day's task around 6 pm until 6 am of the following day. We found that the location of workplaces matches with the general land use, and overnight workers’ houses were closer to their workplaces. Further data collection would be needed to improve our methodology to identify homes and workplaces from smart card data accurately. The more extended period of card data will improve the accuracy of the proposed methodology. Further, we could consider the surveyed overnight workers’ data from the household travel survey. Also, it would be needed to conduct interview surveys targeting obtain the actual overnight workers such as firefighters, nurses, manufacturing workers and janitors. This study has gone some way towards enhancing our understanding of overnight workers’ travel patterns in transit by analyzing smart card data. If we understand their travel more, we could offer better transit service. Our research could help increase the interest in overnight workers’ transit travel patterns and build better transit operation strategies.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 10p
  • Monograph Title: Canadian Transportation Research Forum 57th Annual Conference

Subject/Index Terms

Filing Info

  • Accession Number: 01890981
  • Record Type: Publication
  • Source Agency: Transportation Association of Canada (TAC)
  • Files: ITRD, TAC
  • Created Date: Aug 25 2023 9:18AM