Investigating night shift workers’ commuting patterns using passive mobility data

Authors

Sungho Lim
Haesung Ahn
Seungchul Shin
Dongmin Lee
Yong Hoon Kim

Document Type

Journal Article

Publication Date

2024

Subject Area

place - asia, place - urban, planning - methods, planning - surveys, ridership - behaviour, ridership - commuting, technology - passenger information, technology - ticketing systems

Keywords

Night shift worker, Commuting pattern, Passive mobility data, Travel behavior, Transportation equity, Data mining, DBSCAN

Abstract

Designing public transit services that meet the needs of night shift workers requires understanding their commuting patterns. However, traditional survey methods have faced challenges in contacting and interviewing night shift workers with changing work–sleep schedules. This study aims to investigate night shift workers’ commuting patterns by identifying night shift workers with heterogeneous working patterns in passive mobility data. First, we identify workers and their workplaces from the mobility data using a rule-based method. Subsequently, we cluster individual workers’ workplace-staying records using DBSCAN to find regular working patterns and segment workers with diverse working patterns. We applied the method to the smart card data of Seoul, South Korea, and identified 37,448 night shift workers with six different working patterns. The proportion of night shift workers among presumed workers was 8.9%, which was slightly higher than the 7.2% reported in a national survey. Workers who exclusively worked at nighttime worked near night markets, while three-shift workers’ workplaces mainly appeared near areas with large general hospitals with emergency care centers. The proportion, regular working patterns, and workplace location distribution of the identified night shift workers were generally consistent with the existing survey-based knowledge, suggesting that night shift workers were accurately discovered from the mobility data. The finding suggested that policies to extend transit service time were beneficial for three-shift and 24-hour duty workers. With the proposed method, night shift workers’ regular and essential mobility needs can be identified and provided to cities’ transit authorities to help assess and improve transit services for these workers.

Rights

Permission to publish the abstract has been given by Elsevier, copyright remains with them.

Comments

Transportation Research Part A Home Page:

http://www.sciencedirect.com/science/journal/09658564

Recommended Citation

Lim, S., Ahn, H., Shin, S., Lee, D., & Kim, Y. H. (2024). Investigating night shift workers’ commuting patterns using passive mobility data. Transportation research part A: policy and practice, 181, 104002.