The Influence of Macroscopic Pedestrian Structures on Train Boarding Efficiency

TL;DR

This study examines how macroscopic pedestrian structures, like deboarding channels, influence train boarding efficiency, emphasizing psychological and social factors to identify intervention points for improving crowd flow at train stations.

Contribution

It introduces the concept of deboarding channels as macroscopic structures and analyzes their impact on efficiency, shifting focus from individual variables to collective pedestrian behaviors.

Findings

Higher number of boarders reduces deboarding channel width.

Narrower channels are associated with lower deboarding efficiency.

Social norms influence pedestrian formation and flow during deboarding.

Abstract

A deeper understanding of pedestrian dynamics is essential to improve crowd flows in public spaces such as train stations. It is essential to understand both the physical and the psychological processes present in this context. However, current research on train boarding behavior is limited in scope and mainly focuses on how group level variables such as number of boarders/deboarders influence train boarding efficiency. Viewing pedestrian dynamics through a psychological lens is important for a detailed understanding of the train boarding context and to recognize target areas for improving crowd flows. At Dutch train stations, boarders follow a social norm of waiting at the train door until deboarding is complete. Although people generally adhere to this norm, the way it is executed may not be optimal for deboarding efficiency. We investigate how waiting boarders form a deboarding channel (a corridor where deboarders exit the train) which is a macroscopic structure formed by pedestrians, and how this channel in turn influences the efficiency of deboarding. Analyzing a dataset with 3278 boarding events at Utrecht Centraal Station in the Netherlands from 2017 - 2020 (a subset of a trajectory dataset that captures 100,000 trajectories per day), we found that higher numbers of boarders and a higher ratio of boarders to deboarders, reduced the width of the deboarding channel, and a lower width was associated with lower deboarding efficiency. These results shift the focus from group level variables to identifying macroscopic structures that are formed when pedestrians interact within a social system and provide specific target areas where nudges/behavioral interventions could be implemented.