Author(s)

Shaoyi Hu, Pinhui Ye

Corresponding Author

Shaoyi Hu

Abstract

This study presents a set of models designed to predict wear patterns on staircases, incorporating both user movement behavior and the physical properties of the stairs. Through experiments, including wear depth analysis, travel direction analysis, and repair identification, we validated the model’s ability to predict the distribution of wear and identify areas needing maintenance. The results showed that the model effectively captured wear variations, with central regions of the staircase exhibiting more significant wear due to user traffic. Additionally, the model accurately predicted user travel direction preferences, revealing a tendency for users to walk along the centerline of the staircase. The study demonstrates the potential of these models to inform staircase design, improve safety, and optimize maintenance strategies, providing valuable insights for architects, engineers, and maintenance teams.

Keywords

wear patterns, staircase design, user behavior, maintenance optimization