electronic Journey management Plan

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An express way to plan your safe journey

Journey Management Planning

Vehicle collisions account for 35% of all work-related fatalities,  the single biggest cause of death among Australian workers [1]. Drivers in remote/regional areas are 5.8 times more likely to have a fatal crash than drivers in city areas [2]. Many hazards exist when undertaking a journey which increase the risk of an accident, particularly when they are combined with extended work hours or shift work.

The electronic Journey Management Plan (eJMP) is a documented process for planning and undertaking road transport journeys with the ultimate goal of arriving safely. The eJMP enables the user to systematically identify fatigue-related hazards and select controls to manage the risk of a fatigue-related incident.


The eJMP enables a real-time record of people that have competently completed their eJMP.


The eJMP data can be utilised to serve as a real-time hazard identification and risk register.

Risk Profile

Workers will be able to understand their individual risk profile and implement appropriate control measures.


Data from the eJMP provide insights to direct initiatives to manage known company journey risks.

Manage your journey management risk and get a quote today.

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What is a Journey Management Plan?

A Journey Management Plan (JMP) is a documented process for planning and undertaking road transport journeys with the ultimate goal of arriving safely. By planning your journey more carefully, you are more likely to stay fresh and vigilant at the wheel, safeguarding your own safety and the safety of others. The electronic Journey Management Plan (eJMP) guides users through a step-by-step process to develop a JMP to minimise the risks associated with commuting to and from work.

The intent of an eJMP is to:

  1. Outline the risk of fatigue when work hours are combined with commuting to and from work.
  2. Identify potential hazards that increase the risk of fatigue whilst travelling.
  3. Establish controls to manage the identified hazards.
  4. Provide a process for applying controls to your travel to and from work.

How to control journey risk?

James Reason’s (1997) multilayer control approach (Swiss Cheese Model) forms the basis of determining the effectiveness of an individual’s JMP to manage their journey risk. The Swiss Cheese Model of accident causation illustrates that although many layers of defence lie between hazards and accidents there are flaws in each layer that, if aligned, can allow the accident to occur. In theory, lapses and weaknesses in one control layer (slice of swiss cheese) do not allow a risk to materialise, since other control layers also exist, preventing a single point of failure.

Controls in the eJMP form the various layers in the Swiss Cheese Model and are assigned a score determined by their effectiveness based upon where they are placed on the Hierarchy of Controls.


Annual subscription fee - $15 per worker


Measuring journey risk

There are four main steps involved in calculating the overall effectiveness of an individual’s eJMP.

  1. Initial risk score is established:
    The eJMP establishes an initial risk score based upon known impairment levels associated with the number of hours an individual is awake [3].
  2. Additional hazards are identified:
    The eJMP then prompts the user to identify hazards that have the potential to increase their risk of fatigue. Any hazards identified contribute to increasing the initial risk score.
  3. Appropriate controls are selected:
    The eJMP then uses its internal logic to automatically provide a range of controls that can be selected to mitigate the risk of the identified hazards. The user is then prompted to select controls to mitigate the risks associated with the identified hazards.
  4. Overall effectiveness of the eJMP is calculated:
    A control effectiveness quotient is calculated which provides a residual risk score for the user, taking into consideration the initial risk, the additional hazards and the controls implemented.

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