A psychological approach to understanding microscopic and macroscopic structures during train boarding processes

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Abstract

Current research on the train boarding process focuses predominantly on the physical modelling of pedestrian dynamics and situational characteristics such as platform design. Little psychology is involved in this approach even though individual behavior is a major factor in influencing dwell times. We take a systematic psychological approach to estimate whether parameters like pedestrian speed, area available per pedestrian, and interpersonal distance show variation at the microscopic level (individual variation), macroscopic level (situational variation), or both. Analyzing real-life train (de)boarding events (n = 3728) at a specific location at a Dutch train station, we find that boarders’ speed varies more at the microscopic (individual variation) than the macroscopic level. This behavior could thus result from stable aspects of the situation such as some structural feature of the environment or a social norm. Understanding such variation is helpful in designing behavioral interventions/nudges. If variation is due to individual differences, then an individual-targeted intervention will be most effective. If variation is due to situational differences, then individual-targeted interventions may not be particularly useful, and nudges targeted at crowds or environmental features may be most effective.

Original languageEnglish
Title of host publicationTraffic and Granular Flow'22
EditorsK. Ramachandra Rao, Armin Seyfried , Andreas Schadschneider
PublisherSpringer
Pages223-230
Number of pages8
ISBN (Print)9789819979752
DOIs
Publication statusPublished - 2024
EventInternational Conference on Traffic and Granular Flow, TGF 2022 - Delhi, India
Duration: 8 Oct 202210 Oct 2022

Publication series

NameLecture Notes in Civil Engineering
Volume443
ISSN (Print)2366-2557
ISSN (Electronic)2366-2565

Conference

ConferenceInternational Conference on Traffic and Granular Flow, TGF 2022
Country/TerritoryIndia
CityDelhi
Period8/10/2210/10/22

Keywords

  • pedestrian behavior
  • real-life train boarding
  • social norms
  • variance decomposition

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