The UK Department for Transport published a statistical release titled When people travel on 10 September 2026 that sets out time-of-day, daily and monthly patterns in travel. The dataset presents temporal breakdowns of when journeys take place and is presented by the Department for Transport as a resource for analysis.
The material covers travel timing rather than travel volumes by mode or route, and is described by the department as data about when people travel by time of day, daily and monthly patterns. The release forms part of the department's routine statistical output and is intended to show how travel demand varies through the day, across the week and between months.
Such temporal detail can be relevant to many different parts of the transport sector. For operators, planners and regulators it offers an evidential basis for considering how services are timed and how demand fluctuates; for researchers it supplies structured temporal series that can be compared across periods.
What the statistics describe
The publication groups journey timing into time-of-day, day-to-day and month-to-month patterns, allowing users to identify when travel peaks and when it subsides. It does not, in the material supplied, set out modal splits or bespoke operational prescriptions, but rather supplies the timing dimension that underpins such analysis.
The dataset is suitable for analysts seeking to understand temporal trends in travel demand and for those testing hypotheses about seasonal change or daily rhythms. Where travel planning relies on knowing whether activity is concentrated in particular hours or spreads evenly, this kind of timing data provides the necessary temporal framing.
How the dataset may be used
Policy teams and service planners commonly use temporal trend data when considering timetabling, staffing and resource allocation; the department’s release supplies the time-series detail needed for those conversations. The information may be referenced to corroborate operational choices or to inform further investigation into causes of observed timing patterns.
Because the release is framed around time of day and calendar patterns, it can also assist comparative work that looks at changes between months or weekdays, or that seeks to align service provision with peaks and troughs in demand. The department’s statistics therefore operate as a building block for more detailed operational or policy analysis rather than as a complete service plan in themselves.
The Department for Transport's publication is dated 10 September 2026 and is presented as official statistical material. Readers and practitioners who wish to examine the timing detail directly should consult the department’s release for the tables and breakdowns that support the summary description provided by the department.
The availability of routine temporal statistics on travel timing contributes to transparent, evidence-led discussions about how transport resources are deployed. For those in the maritime sector and beyond, the dataset provides a clear temporal map that can be combined with other data sources to form a fuller picture of travel demand across the year.