Barron Health · Sample organisation
Section 1
Executive summary
Main finding
Shared commuting appears most promising in two corridors, but all staff can be invited.
Best first step
Organisation-wide sprint, with reporting focused on whether the strongest clusters convert into real participation.
Key caution
Participation will depend on trust, return-trip reassurance, clear cost-sharing guidance and strong internal communications.
This sample report identifies enough commute clustering and staff readiness to justify an organisation-wide 6-week Commute Activation Sprint. The strongest early opportunity appears in the south-east and northern commute corridors. However, the recommended approach is not to exclude other staff or run complex segmented communications. Instead, all staff should be invited to participate, with the report used to understand where early uptake is most likely and how to interpret results. Success should be measured by real shared trips, repeat participation, active corridors, staff stories and whether the strongest commute clusters convert into ongoing behaviour change.
Important — illustrative planning examples only. All figures, findings and scenarios in this report are indicative planning examples derived from a fictional sample organisation. They are not forecasts, guarantees, formal sustainability reports, climate statements, assurance engagements, or legal or accounting advice. Real reports are based on actual de-identified staff commute mapping responses. Your organisation's findings will differ.
This sample is provided to illustrate the structure and depth of a Commute Opportunity Report. Barron Health is a fictional organisation. No real staff, commute, or organisational data is shown.
All outcome figures above are indicative planning scenarios, not forecasts or guarantees. They are based on illustrative assumptions about participation rates and commute distances for a fictional organisation.
Section 2
Data confidence and opportunity strength
A 27% response rate from a workforce of approximately 355 provides sufficient data to draw planning-level conclusions about commute patterns, geographic clustering, and staff interest. This section summarises the overall confidence in findings and the headline opportunity assessment for Barron Health.
Data confidence
Indicative
96 responses from a workforce of approximately 355 is sufficient for planning purposes. Response rates in the 20–30% range are typical for voluntary workplace surveys and support meaningful geographic and mode-split analysis. Corridor counts are directionally reliable; exact figures should be treated as estimates.
Opportunity strength
Moderate
Two strong geographic corridors are present. Drive-alone rates are high, interest levels are good, and timing patterns show sufficient overlap to support carpool group formation. The opportunity is real but not exceptional — a well-structured organisation-wide activation programme is the appropriate next step.
Overall recommendation
Proceed
The data supports moving to a Commute Activation Sprint. Geographic cluster density in two corridors is sufficient to underpin early group formation. An organisation-wide sprint, open to all staff, is the recommended approach. See Section 12 for sprint design guidance.
Best interpretation
Organisation-wide sprint recommended, with cluster-aware reporting.
Sample report notice: This is a sample report for illustrative purposes only. Barron Health is a fictional organisation. All data, names, locations, and figures shown throughout are fictional planning examples. Your real report will be based on your organisation's de-identified commute mapping responses.
Section 3
Workforce commute profile
A total of 96 staff completed the commute mapping survey out of approximately 355 invited — a response rate of 27%. Response rates in the 20–30% range are common for voluntary workplace surveys and are sufficient to draw meaningful planning-level conclusions about commute patterns, mode split, and interest. The sample is not a census; results are indicative of the broader workforce, not a precise count.
Current commute mode split
Walking, cycling and public transport should remain the first choice where realistic. CrewCommute focuses on reducing solo driving where driving is already happening.
Section 4
Commute clusters and corridors
Geographic clustering analysis identifies two corridors where staff density and commute overlap are sufficient to support shared travel. These corridors are presented as a lens for interpreting overall results and understanding where uptake is most likely to emerge naturally — not as a basis for directing segmented or targeted communications at specific groups of staff.
A strong cluster in the northern suburbs. Staff here show good geographic overlap and commute timing alignment. Shared commuting within this group is viable with minimal route detour and a solid base for initial group formation.
The largest cluster by geographic density. Route density is sufficient to support multiple carpool groups. Timing compatibility is moderate, with most staff in this corridor starting between 7:30 am and 8:30 am.
A meaningful but lower-density cluster in the western suburbs. Sufficient for self-organised matching via an organisation-wide platform; may yield 2–3 carpool groups if timing compatibility is confirmed.
The remaining respondents are geographically dispersed. No cluster density sufficient for dedicated groups, but an organisation-wide sprint provides a platform for any organic matches to surface across the full workforce.
How to use this data: Corridor information is intended to help leadership and coordinators understand where uptake is most likely to emerge. It should not be used to direct specific staff groups to take action or to exclude staff outside the strong corridors from any communications or programme participation. All activation communications should be addressed to the whole workforce.
Cluster counts are indicative. They represent geographic proximity, not confirmed carpool groups. Actual group formation depends on route matching, timing, and personal preference.
Section 5
Timing and shift compatibility
Timing compatibility is a critical factor in shared-commuting viability. Where staff start times are tightly concentrated, the logistics of carpooling are simpler. Where they are spread across multiple shift windows, coordination requires more flexible matching. Barron Health shows a moderate concentration of start times in the morning peak, with a secondary cluster around early shift starts consistent with nursing and allied health shift patterns.
Indicative start-time distribution (illustrative)
Primary peak
7:00–8:30 am
Majority of respondents commence in this window — the highest potential window for shared departure and carpool group formation.
Early shift cluster
6:00–6:30 am
A secondary cluster of early starters. These staff can form their own carpool groups but will generally not be compatible with the primary peak window.
Timing compatibility
Moderate
Two distinct windows reduce the proportion of staff who can match directly, but the primary peak is large enough to support viable group formation within it.
Standard-hours staff show strongest match potential
Early and late shifts may need more time to build momentum
Flexible start/finish windows improve potential matchability
Tuesday to Thursday appears strongest for peak office attendance and parking pressure
Carpooling potential is strongest where route overlap and timing overlap occur together. The sprint should still be simple and organisation-wide, but timing patterns help set realistic expectations about where shared trips are most likely to form first.
Start-time distribution is based on self-reported commute mapping data. The illustrated chart above is indicative only. Actual shift patterns may differ.
Section 6
Staff readiness
Readiness analysis goes beyond a simple open/not-open split. It segments the workforce by their stated level of interest and by their preferred role in a shared-commuting arrangement. This segmentation helps predict how quickly uptake will occur and what kind of matching infrastructure is most important to have in place before launch.
Preferred role in shared commuting
What the "ready now" 32% means
This group — roughly 31 respondents — is likely to participate from day one of a programme, provided they can be matched. They are the activation engine for the sprint: early adopters whose visible participation normalises the behaviour for the larger cautious group.
What the "cautious" 38% needs
This is the group most influenced by programme design. They need reassurance: a guaranteed ride home if the carpool falls through, easy match-finding, and visible evidence that others are participating. Converting even half of this group during the sprint is the difference between a good and a strong outcome.
Role preference implication
More staff prefer to ride than to drive. The matching platform needs to facilitate passenger-heavy configurations — for example by making the financial benefits of driving more visible, or by actively recruiting willing drivers — to balance the pool for effective group formation.
Readiness figures are based on self-reported survey responses from the respondent group. They are indicative of likely first-wave participation, not guaranteed participation levels.
Section 7
Barriers and motivators
Understanding the specific barriers and motivators reported by Barron Health staff is essential for designing a programme that actually works. Generic carpooling campaigns fail when they address the wrong objections or emphasise benefits staff don't value. This section surfaces the most commonly cited barriers and motivators so that activation materials can speak directly to them.
Top barriers reported
Fear of being stranded if a ride falls through
Privacy concerns
Shift changes or unpredictable finish times
Needing the car before or after work
Uncertainty about cost sharing
Not knowing who lives nearby
Top motivators reported
Fuel savings
Easier parking
Travelling with verified colleagues only
Backup-ride reassurance
Recognition or small rewards
Environmental impact
Social connection
The strongest barriers are not purely attitudinal. They are practical and trust-based. This means communication, reassurance and program design are likely to matter as much as the matching technology.
Section 8
Incentives and activation supports
Incentives are most effective when they are proportionate to the behaviour change they are trying to encourage, and when they are layered so that low-cost nudges do the heavy lifting first. Not every incentive needs to cost money — and the most sustainable programmes rely primarily on making the experience easy and rewarding in itself. The tiers below move from simple, low-cost approaches to more significant investments, with guidance on when to consider each.
Incentive Sensitivity Snapshot — Barron Health
Based on the barriers and motivators data in Section 7, the Barron Health respondent group shows a pattern that favours cost-reduction framing (74% cite savings as a motivator) and low-friction participation (62% cite schedule flexibility as a barrier). This suggests:
This snapshot is indicative. Actual incentive decisions should be based on budget, organisational policy, and the specific barriers identified in your real workforce survey.
Small rewards may help create momentum, but the strongest behaviour-change levers are likely to be practical reassurance, visible cost savings, and confidence that staff will not be stranded if a ride falls through.
Rewards should support reduced solo driving. They should not encourage staff who already walk, cycle or use public transport to switch into cars.
Section 9
Peak parking pressure
The strongest parking benefit is likely on peak office days when staff attendance and drive-alone rates are highest.
Sample insight
Under a moderate scenario, shared commuting could reduce peak-day solo car arrivals by 18–24 trips across the main worksite.
This may not remove the need for parking management, but it can reduce pressure at the times when staff notice it most.
For qualifying entities, Australian Sustainability Reporting Standards require climate-related disclosures, including Scope 3 emissions where applicable. Understanding employee commuting patterns can support Scope 3 Category 7 employee commuting estimates where relevant.
All financial and emissions figures are indicative planning estimates based on illustrative assumptions about commute distances, fuel costs, and participation rates for a fictional organisation. They are not forecasts, guarantees, or formal climate disclosures.
Section 10
Impact scenarios
The scenarios below illustrate the range of outcomes that could emerge from a shared-commuting programme at Barron Health, depending on the level of uptake achieved. They are indicative planning scenarios only, not forecasts, guarantees, or predictions of actual outcomes. The purpose is to help leadership understand the plausible range of impact so that investment decisions can be calibrated appropriately.
Likely if activation is low-key or relies on self-selection without active organisational support. Still a meaningful start.
Roughly equivalent to the annual emissions of about 5 passenger vehicles, using a standard passenger-vehicle equivalency.
Roughly equivalent to the annual emissions of about 9 passenger vehicles, using a standard passenger-vehicle equivalency.
These are indicative planning scenarios, not forecasts or guaranteed outcomes. CO₂-e equivalencies are illustrative and should be reviewed against the organisation's preferred emissions methodology and reporting assumptions.
These are indicative planning scenarios, not forecasts. All figures are derived from illustrative assumptions about participation rates, commute distances, and trip frequency for a fictional organisation. Actual outcomes will depend on factors including workforce participation, route matching success, shift compatibility, and the incentives and supports offered. They should be used as a planning reference only, not as a basis for external reporting, investment commitments, or sustainability disclosures.
Section 11
Mode-shift guardrail
A successful shared-commuting programme should deliver a net reduction in solo car trips. This outcome is not automatic. Poorly designed incentives or communications can inadvertently encourage staff who currently walk, cycle, or use public transport to switch to car travel in order to access rewards — the opposite of the intended effect. This section documents the guardrail that should be applied to all programme design and communications.
The mode-shift guardrail: All activation communications, incentives, and programme materials must be clearly framed around replacing solo driving, not replacing walking, cycling, or public transport. Shared commuting is the right answer for the trip where driving is currently the practical option — and only that trip.
Specifically:
Design incentives to reward switching from solo driving
Eligibility for incentives and rewards should be limited to staff who are currently driving alone and who are switching to carpooling. Staff who already walk, cycle, or use public transport should be celebrated — not incentivised to change.
Frame all communications around reducing solo car trips
Communications should make it explicit that the programme is an alternative to driving alone, for people who currently drive alone. Avoid framing that positions carpooling as simply a better form of commuting generally, without reference to the mode being replaced.
Acknowledge and support existing sustainable commuters
Staff who walk, cycle, or take public transport are already making the right choice. A whole-of-organisation commute programme should recognise this explicitly — ideally by including sustainable-mode supports (bike parking, public transport top-ups) alongside the shared-driving component.
Do not structure rewards that incentivise mode-switching into cars
A reward structure that pays staff for carpooling, with no eligibility restriction based on prior mode, could inadvertently pay a staff member to drive to work instead of catching the train. This must be avoided through clear eligibility criteria, a baseline survey, and thoughtful communications.
Section 12
Recommended 6-week sprint design
The campaign should be simple for the employer to run and easy for staff to understand. All staff are invited to participate, regardless of where they live or how likely they are to match. The report identifies the corridors where early uptake is most likely, so the organisation knows what to watch during the sprint and how to interpret results.
Setup, staff communications, internal guidance and incentive settings. Confirm guaranteed ride-home provisions are in place before launch. Brief line managers and champions.
Staff onboarding, commute profile updates and first match prompts. Organisation-wide launch — all staff are invited, not just those in the strongest corridors.
Active shared commuting, reminders, recognition, rewards and testimonial capture. A coordinator is available to help resolve issues and re-match pairs who don't connect.
Results review, impact summary and next-step recommendation. Participation data and indicative impact figures are compiled into a post-sprint summary for leadership.
Recommended messaging
Recommended activation supports
This sprint should be open to all staff, with communications addressed to the whole workforce. If the south-east corridor shows the strongest opportunity, for example, that becomes an important success signal — not a reason to exclude everyone else.
Sprint design is indicative. A real sprint design would be developed in collaboration with the organisation based on their specific workforce, communications channels, HR policies, and available resources.
Section 13
What to measure during the sprint
A Commute Activation Sprint without measurement is a missed opportunity. Tracking the right signals during the sprint allows the coordinator to respond in real time, give leadership a clear picture of progress, and build the evidence base for any decision about ongoing programme investment. This section outlines the key metrics to track and how to use them.
Core participation metrics
Impact metrics
Behaviour-change metrics
New carpool connections matter, but repeat shared trips are the stronger behaviour-change signal.
Section 14
Methodology & limitations
This section sets out the methodology underlying the Commute Opportunity Report and the limitations that apply to how its findings should be interpreted and used. It applies equally to this sample report and to real Commute Opportunity Reports produced by CrewCommute.
This sample report is illustrative only. Real reports are based on de-identified staff commute mapping responses, worksite information, stated commute mode, estimated distance, timing patterns and published emissions-factor methodology.
Results are intended to support internal decision-making, sustainability planning and Scope 3 Category 7 employee commuting estimates where relevant. They are not a formal sustainability report, climate statement, assurance engagement, or legal or accounting advice.
Organisations remain responsible for determining their own reporting boundary, materiality, methodology, climate disclosure obligations and assurance requirements.
Disclaimer — sample report: All data, figures, findings, organisations, and staff referenced in this sample report are fictional and illustrative only. Barron Health does not exist. No real staff commute or organisational data has been used. All outcome figures are indicative planning examples, not forecasts, guarantees, formal sustainability reports, climate statements, assurance engagements, or legal or accounting advice.
A real Commute Opportunity Report is based on actual de-identified staff survey responses from your organisation. Your results will differ from those shown here.
Data collection
Commute data is collected through a staff survey covering home suburb, commute mode, departure time, shift pattern, and openness to sharing. No home addresses or precise locations are collected.
Privacy & de-identification
All report outputs are de-identified. No individual staff member is identifiable in the report. Small groups (fewer than 5) are suppressed or aggregated to protect privacy.
Emissions methodology
Emissions estimates use published Australian National Greenhouse Accounts factors for passenger vehicles. Estimates are planning-level and are not formally verified or assured. They are not formal climate disclosures or assurance engagements.
Reporting responsibility
Organisations are responsible for determining their own reporting boundary, materiality assessment, climate disclosure obligations, and assurance requirements. CrewCommute does not provide legal, accounting, or assurance services.