Over the past 15 years, there have been some research outcomes in other disciplines that could be used to produce new, more accurate and realistic numerical models to characterise pedestrian loads and to significantly improve predictions of response for multiple-pedestrian scenarios. However, the disconnection between fields has not facilitated this further research. Using this, the paper presents (a) a new sophisticated load model that includes a description of vertical and lateral loads, including pedestrian–structure interaction, (b) the numerical description of relationships to describe the key parameters of the proposed model and (c) the evaluation of the effects of pedestrian characteristics that are relevant for serviceability response of footbridges. The proposed new load model allows for the inherent variability of individual pedestrian actions (intra-subject variability), a probabilistic description of how pedestrian characteristics vary among subjects (inter-subject variability) and collective human behaviour (pedestrian–pedestrian interaction). Some of these characteristics are not currently considered in design approaches and can have a substantial impact on structural response assessments. Finally, recommendations are made for many of these characteristics to be introduced in analyses to evaluate the vibration serviceability limit state of footbridges in a more accurate and realistic manner.
Article navigation
June 2021
Research Article|
November 16 2020
Impact of stochastic representations of pedestrian actions on serviceability response
Caterina Ramos-Moreno, MEng, DIC, PhD, CEng MICE, MCICCP
;
Caterina Ramos-Moreno, MEng, DIC, PhD, CEng MICE, MCICCP
Senior Bridge Engineer, Arcadis Consulting, London, UK
Search for other works by this author on:
Ana Maria Ruiz-Teran, MEng, PhD, CEng MICE, MCICCP, FHEA;
Ana Maria Ruiz-Teran, MEng, PhD, CEng MICE, MCICCP, FHEA
Senior Lecturer, Department of Civil and Environmental Engineering, Imperial College, London, UK (corresponding author: a.ruiz-teran@imperial.ac.uk)
Search for other works by this author on:
Peter J. Stafford, PhD
Peter J. Stafford, PhD
Reader, Department of Civil and Environmental Engineering, Imperial College, London, UK
Search for other works by this author on:
Publisher: Emerald Publishing
Received:
October 23 2019
Accepted:
August 24 2020
Online ISSN: 1751-7664
Print ISSN: 1478-4637
ICE Publishing: All rights reserved
2020
Proceedings of the Institution of Civil Engineers - Bridge Engineering (2021) 174 (2): 113–128.
Article history
Received:
October 23 2019
Accepted:
August 24 2020
Citation
Ramos-Moreno C, Ruiz-Teran AM, Stafford PJ (2021), "Impact of stochastic representations of pedestrian actions on serviceability response". Proceedings of the Institution of Civil Engineers - Bridge Engineering, Vol. 174 No. 2 pp. 113–128, doi: https://doi.org/10.1680/jbren.19.00050
Download citation file:
New and popular articles
Suggested Reading
Vibration serviceability of Helix Bridge, Singapore
Proceedings of the Institution of Civil Engineers - Structures and Buildings (May,2016)
Vibration performance assessment of a long-span steel footbridge
Proceedings of the Institution of Civil Engineers - Structures and Buildings (July,2020)
Serviceability of stress ribbon bridges with external tendons
Proceedings of the Institution of Civil Engineers - Bridge Engineering (February,2015)
Section model tests on human – structure lock-in
Proceedings of the Institution of Civil Engineers - Bridge Engineering (June,2003)
Damage detection of a cable-stayed footbridge using multiple damage modelling and ANNs
Proceedings of the Institution of Civil Engineers - Structures and Buildings (February,2025)
Related Chapters
Temporal Dynamics in Multiteam Systems: An Integrative Perspective for Future Research and Practice
Team Dynamics Over Time
Chapter 10 Specific Factor Models and Dynamics in International Trade
Contemporary and Emerging Issues in Trade Theory and Policy
Working Together Revisited
Research in Organizational Change and Development
Recommended for you
These recommendations are informed by your reading behaviors and indicated interests.
