Entry Point Risk Calculator

Evaluate each entry point with weighted risk factors. See the score, level, and priorities instantly. Export results to share with crews and managers today.

Use the form below to rate each factor from 1 to 5. The calculator returns a weighted risk percentage and practical priorities.

Assessment form


Risk factors

Ratings: 1 (very low) to 5 (very high). Weights reflect importance.
Vehicle traffic volume
Frequency and intensity of vehicle movements near the entry.
Pedestrian and vehicle mixing
How often pedestrians share the same path with vehicles.
Sight lines and visibility
Blind corners, obstructions, and driver approach visibility.
Lighting adequacy
Illumination in day/night conditions at the access point.
Signage and markings
Warning signs, speed limits, lines, and directional markers.
Physical separation and barriers
Bollards, fencing, gates, and segregation of routes.
Surface condition
Potholes, loose aggregate, mud, ice, or uneven surfaces.
Slope and gradient
Steep approaches increase stopping distance and roll risk.
Weather exposure
Flooding, dust, glare, rain run-off, and seasonal hazards.
Security and access control
Check-in control, unauthorized entry, and gate management.
Congestion and queuing
Queue length, turning conflicts, reversing, and blocking.
Emergency access readiness
Clearance for emergency vehicles and unobstructed routes.

Formula used

The calculator uses a weighted average of factor ratings. Each factor is rated from 1 to 5 and multiplied by its weight.

  • WeightedSum = Σ (ratingᵢ × weightᵢ)
  • MaxPossible = 5 × Σ (weightᵢ)
  • RiskPercent = (WeightedSum / MaxPossible) × 100

Suggested bands: Low < 30%, Medium 30–59.9%, High 60–79.9%, Critical ≥ 80%. You can adjust weights to match your site conditions.

How to use this calculator

  1. Name the entry point and set an assessment date.
  2. Rate each factor from 1 to 5 based on observations.
  3. Enable weight controls if you need custom importance.
  4. Submit to view the risk percent, level, and priorities.
  5. Apply controls to the top drivers, then reassess.
  6. Export CSV or PDF to share and track improvements.

Example data table

Entry point Traffic Visibility Separation Risk % Level
Main gate (deliveries) 4 3 2 66.4 High
Pedestrian turnstile 1 2 4 41.8 Medium
Plant access gate 5 4 3 82.0 Critical
Example scores are illustrative and depend on weights and other factors.

Why entry points need structured scoring

Entry points concentrate deliveries, workers, and visitors into a narrow zone where speed, distraction, and impatience intersect. A structured score turns walk‑through observations into a comparable baseline, supporting toolbox talks, gate briefings, and supervision planning. On busy sites, small layout changes at the gate can reduce conflict points and shorten queues. Include basic geometry checks: lane width, turning radius, and stop‑line placement. Many sites target 5–10 km/h at the gate and a clear holding distance for one full truck length. Document these as reference conditions for future reviews.

Selecting ratings consistently

To keep ratings reliable, use the same evidence each time: vehicle counts during peak windows, the presence of pedestrians in live traffic lanes, and the number of blind spots on approach. Record simple thresholds, such as “more than five movements per minute” or “two or more reversing events per hour,” so different assessors reach similar scores.

Using weights to reflect consequence

Weights let you reflect consequence, not just frequency. For example, pedestrian mixing and separation may deserve higher weights where vulnerable users are present, while weather exposure may be lower on covered access routes. Keep the total weight stable across locations so the percentage remains comparable between gates and over time. Review weights whenever the traffic plan changes. If a factor is irrelevant, set weight to zero and note why. This keeps the percentage comparable while preserving assessor intent for audits later.

Turning results into controls

The risk percentage is most useful when paired with the top drivers list. High points highlight where a control will move the score fastest: barriers to separate routes, a banksman during peaks, improved lighting, or clearer signage. After actions, reassess and confirm the percentage drops, rather than relying on assumptions.

Reporting and continuous improvement

Use exports to support audits and close‑out tracking. Store monthly CSVs, add the action owner and due date in notes, and compare trends across entry points. When the same factor remains in the top three for two cycles, escalate resources or redesign the approach. This builds a measurable improvement loop.

FAQs

1) What does the risk percentage represent?

It is the weighted score divided by the maximum possible score, shown as a percentage. It reflects how severe current conditions are relative to your chosen weights and ratings.

2) How should we choose weights?

Start with the defaults, then adjust for consequence. Increase weights where a failure could cause serious harm, such as pedestrian mixing or poor separation. Keep weights stable across entry points so comparisons remain meaningful.

3) Can this be used for pedestrian-only access points?

Yes. Set vehicle-related factors to weight zero, then focus on visibility, lighting, surface condition, security, and emergency access. The percentage will still normalize to the remaining weights.

4) How often should we reassess an entry point?

Reassess after layout changes, new phases, or incident trends, and at a fixed routine such as monthly. The goal is to confirm controls reduce the top drivers and the percentage over time.

5) What evidence supports a high rating?

Use measurable observations: peak movement counts, queue length, number of reversing events, documented near-misses, photos of blind spots, and lighting checks at night. Consistent evidence improves repeatability between assessors.

6) What happens if the total weight is zero?

The calculator will not compute a result. Set at least one factor weight above zero so the percentage can be normalized and compared.

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