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electronic Journey Management Plan (eJMP)

An express way to plan your safe journey

Why is Journey Management Planning important? 

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. Hazards influencing an individual’s risk include:

  • Driver fatigue
  • Travel distance
  • Traveling alone
  • Traveling following nightshift
  • Waking hours
  • Road familiarity
  • Road conditions
  • Traffic conditions
  • Vehicle fit for purpose

Managing these hazards should be addressed through journey management planning to reduce risks to as low as reasonably achievable.

What is a Journey Management Plan (JMP)?

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. Our electronic Journey Management Plan (eJMP) guides the user 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.

eJourney Management Plan benefits

Individual JMP  

Suggested controls for hazards will be available for individuals when they construct their eJMP.

Compliance & Efficiency

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

Safety 

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

Reporting & Analytics  

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

 

Risk Profile

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

Cost-effective   

The eJMP is easy to use and can be completed on a smart phone, tablet or computer anywhere, anytime. This minimises administration, training time and production impact

Hazard Identification 

The eJMP provides a systematic hazard identification process that assesses and ranks the risks of an individual’s journey. For each identified hazard, controls are recommended to manage the risk to as low as reasonably achievable.

eJMP_phone
Journey management risk assessment

Journey Management Plan control effectiveness

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.

Control Levels

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.

Level 1
%
Working Hours
Level 2
%
Preparation
Level 3
%
Task and Environment
Level 4
%
Behavioural
Level 5
%
Error Proofing

Implementation of a variety of controls across multiple layers throughout the Swiss Cheese Model helps reduce the risks a worker may face when undertaking a journey.

Overall effectiveness
%

Individual Journey Management Plan Report

Once an individual has completed the steps in the eJMP they will automatically receive a report that will highlight their initial risk without controls, journey risk factors, implemented control measures and their residual risk score with control implemented.

Report includes:

  1. Risk Overview
  2. Risk Profile
  3. Identified Hazards
  4. Multi-layer Control Scores
  5. Personal Control Plan
  6. Personal Journey Plan
  7. Electronic Signature

 

References

[1] Safe Work Australia, 2018, Work-related Traumatic Injury Fatalities, Australia

[2] Bureau of Infrastructure, Transport and Regional Economics (BITRE), 2019, Road trauma Australia 2018 statistical summary, BITRE, Canberra ACT

[3] Lamond, N., & Dawson, D., 1999, ‘Quantifying the Performance Impairment Associated with Fatigue. Journal of Sleep Research, 8, pp. 255-262.

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