Data‑Driven Working‑Hour Patterns and Accident Risk

Data‑Driven Working‑Hour Patterns and Accident Risk

Type: Field / Observational study

Registration: ScienceDirect record

Status: Published

Tags: Field study, Safety (workplace), Work schedules & policy

External URL: https://www.sciencedirect.com/science/article/pii/S0925753522003435

Summary

Modeling suggested late/long work with insufficient rest increased accident probability; informed safer schedule designs.

Why It Matters For Night Shift Workers and Night Owls

Real‑world data how rotation direction, quick‑returns, and long duties was evident on shift as injuries for night‑shift workers and night owls. Patterns in the data make ‘quick returns’ and rotation direction concrete risk features rather than abstract policy terms. For night‑shift teams and individuals, this ties long‑debated rota features to concrete outcomes, making schedule talk about health, not preference.

Tags

  • Field study
  • Safety (workplace)
  • Work schedules & policy

Notes

Safety Science (2022).

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