Hybrid Working and Commuting Emissions: Why You Need to Look at Both Together

Commuting emissions are no longer just about the journey to work

In recent articles, we have looked at the 2026 UK Government Greenhouse Gas Conversion Factors, the commute data organisations need to calculate employee commuting emissions, and how that data can be turned into a Scope 3 emissions figure.

But there is another important part of the picture.

Hybrid working has changed the commuting baseline.

For many organisations, commuting is no longer a simple assumption of five return journeys per week to the same workplace. Some employees commute every day. Some attend the workplace two or three days a week. Some work from home most of the time. Others have shift patterns, part-time roles, compressed hours or site-based roles where homeworking is not practical.

That means employee commuting emissions are not just about how far someone lives from work or which mode of transport they use.

They are also about how often they travel.

And where hybrid working is part of the organisation’s working pattern, homeworking emissions may also need to be considered.

Distance matters, but frequency matters too

At its simplest, commuting emissions depend on distance travelled by mode.

But distance alone is not enough.

An employee with a long car commute once a week may produce fewer commuting emissions than an employee with a shorter drive five days a week.

Similarly, an employee who travels by public transport three days a week may have a very different commuting profile from someone making the same journey every working day.

This is why commute frequency matters.

Organisations need to understand not only:

How far do employees travel?

but also:

How often do they make that journey?

Without that frequency data, commuting emissions can be overestimated, underestimated or misinterpreted.

Full-time equivalent does not tell you how often people commute

One mistake organisations can make is assuming that full-time equivalent status provides a reliable proxy for commuting frequency.

It does not anymore.

For example, an employee who works two hours a day, five days a week, may represent a relatively small full-time equivalent value. But they may still make five return journeys to work each week.

From a commuting emissions perspective, the number of journeys matters.

A part-time employee may commute every day. A full-time employee may work from home several days a week. A compressed-hours employee may work full-time hours but commute fewer days.

For emissions reporting, workplace travel planning and parking demand analysis, the important question is not just how many hours someone works.

It is how often they travel to the workplace.

Lower commuting emissions do not always mean mode shift

Hybrid working can make year-on-year commuting emissions comparisons more complicated.

If an organisation’s commuting emissions reduce, that may be a positive sign.

But the reason for the reduction matters.

It could be because more employees are walking, cycling, using public transport or car sharing.

It could be because employees are commuting less often.

It could be because the workforce has changed.

It could be because more staff are working from home.

It could be because survey response patterns are different.

All of these explanations tell a different story.

That is why organisations should be careful about interpreting changes in commuting emissions without understanding the underlying working pattern.

A reduction in commuting emissions is useful to know.

But the more useful question is:

What changed?

Did people travel differently, travel less often, or both?

Homeworking emissions are part of the wider picture

Where hybrid working is common, homeworking emissions may also form part of the organisation’s wider environmental impact.

Fewer commute journeys may reduce travel emissions, but working from home can create additional emissions through domestic energy use.

That does not mean homeworking is automatically better or worse.

The answer depends on the circumstances.

The important point is that commuting and homeworking should not be looked at in isolation if the organisation wants to understand the overall impact of workplace travel and working patterns.

A simple commuting emissions figure may show that emissions have fallen.

But if that reduction is partly linked to more homeworking, then the organisation may also want to understand the homeworking element.

This is not about telling individuals how often they should work from home

It is important to be clear about what this type of analysis is for.

CalCommuter does not tell individual employees that they should work from home more or less often.

That is not our role.

Working patterns are shaped by organisational policy, job requirements, service delivery, employee circumstances and management decisions.

What CalCommuter can do is help organisations understand the current pattern.

For example:

• how often employees say they commute

• how often they say they work from home

• which days are busiest at each worksite

• how commuting and homeworking contribute to the emissions picture

• what the organisation might need to consider if working patterns change

This gives organisations better evidence.

If an organisation is reviewing its hybrid working policy, it can use that evidence to understand possible implications for emissions, parking demand, office attendance, staff costs and workplace planning.

The platform does not automate every possible policy scenario.

But it provides the underlying data organisations need to ask better questions.

Busiest working days can reveal important workplace patterns

One particularly useful output is the busiest working days view.

This shows, by day of the week, how many employees report commuting to the workplace and how many report working from home.

That can be valuable for more than emissions reporting.

For estates and facilities teams, it can help explain workplace demand.

For example, a worksite may experience its highest attendance on a Wednesday. On that day, car parking demand may be close to capacity. On other days, the same car park may be much less heavily used.

Without day-by-day data, the organisation may only see an average.

But averages can hide the real operational issue.

If the car park is underused on Mondays and Fridays but full on Wednesdays, the problem is not simply the total number of spaces. It is the pattern of workplace attendance.

That insight can support more informed conversations about:

• car park management

• office attendance patterns

• hybrid working policies

• facilities planning

• staff communications

• travel plan interventions

• demand at specific worksites

This is a good example of why commuting data should not sit only within emissions reporting.

The same dataset can help different teams understand different parts of the organisation.

Why this matters beyond sustainability reporting

Employee commuting is often treated as a sustainability issue because it sits within Scope 3 emissions reporting.

But the same information can be valuable to several teams.

Sustainability teams may need to measure and report emissions.

Transport teams may want to understand where realistic opportunities exist to reduce single-occupancy car travel.

Estates teams may need to understand parking pressure and peak site attendance.

HR teams may want to support new starters with practical commuting information.

Wellbeing teams may be interested in the cost, time and stress associated with commuting.

Senior leaders may want to understand how working patterns affect workplace use, travel demand and environmental reporting.

This is why good commute data can be more valuable than a single emissions number.

The emissions figure matters.

But the wider value comes from understanding what sits behind it.

From measuring emissions to understanding where reductions may be possible

For many organisations, the first step is simply to measure employee commuting emissions more accurately.

That is a useful starting point.

But once the emissions have been measured, the next question is often more important:

How and where could those measured commute emissions realistically be reduced?

That is where richer commute data becomes valuable.

It can help identify:

• which worksites generate the greatest commuting emissions

• where single-occupancy car travel is most common

• where commute frequency is driving emissions

• where car sharing, public transport, walking or cycling may be realistic for some employees

• where parking pressure is linked to particular working days

• where hybrid working patterns affect the overall picture

This does not mean every employee can or should change how they travel.

It means the organisation has better evidence to understand where practical opportunities may exist.

How CalCommuter helps

CalCommuter helps organisations understand commuting and homeworking emissions together.

The platform collects practical information about how employees travel, how often they commute, which worksite they attend and how their working pattern is split between the workplace and home.

Employees receive tailored commute plans showing the cost, duration and emissions of their current commute alongside realistic alternatives.

Employers receive evidence-based insight into commuting emissions, homeworking emissions, mode share, geographic patterns, worksite differences and opportunities for action.

That means organisations can move beyond a single annual emissions figure.

They can begin to understand:

• how staff commute today

• how hybrid working affects the emissions picture

• which days and worksites create the greatest demand

• where measured commute emissions may realistically be reduced

• how commuting data can support wider workplace decisions

Hybrid working has made commuting emissions more complex.

But with the right data, it also gives organisations a better opportunity to understand how people work, how they travel, and where practical improvements may be possible.