Designing a sustainable digital control room for public transport: a comprehensive human performance measurement model

Figures & data

Table 1. Variables and measurement tools

Variables	Measurement Tools
Physical Demand	NASA TLX
Mental Demand
Temporal Demand
Effort
Performance
Frustration
General Fatigue	Multidimensional Fatigue Inventory (MFI 20)
Physical Fatigue
Mental Fatigue
Reduce Motivation
Reduce Activity
Eye Fatigue	Visual Fatigue Questionnaire
Job Satisfaction	Job Stress Questionnaire
Job Workload
Role Conflict
Human Relationships
Family Factor
Work Environment
Turnover Tendency
Blood Pressure	OMRON Automatic Blood Pressure
Total Performance	Expert judgment
Number of Problems	Number of buses and stops controlled

Figure 1. Proposed model.

Figure 2. Variables of workplace design and work design.

Table 2. AHP values interpretation

Value	Definition
1	Both variables are very important
3	One variable is slightly more contributing
5	One variable is more contributing
7	One variable is clearly more contributing
9	One variable is absolutely more contributing
2,4,6,8	Values between 2 adjacent considerations

Table 3. AHP results

Rank	Factors	Sym	Weight	Sym
1	Workload	W	0,425	W
1	Fatigue	F	0,425	F
3	Stress	S	0,15	S
Workload
1	Mental Demand	c1	0,481	z1
2	Temporal Demand	c2	0,167	z2
3	Frustration	c3	0,137	z3
4	Effort	c4	0,121	z4
5	Number of Problems	c5	0,094	z5
Fatigue
1	Mental Fatigue	a1	0,496	x1
2	General Fatigue	a2	0,179	x2
3	Eye Fatigue	a3	0,137	x3
4	Reduced Activation	a4	0,134	x4
5	Physical Fatigue	a5	0,054	x5
Stress
1	Blood Pressure	b1	0,496	y1
2	Mental Fatigue	b2	0,141	y2
3	Mental Workload	b3	0,121	y3
4	Effort	b4	0,118	y4
5	Eye Fatigue	b5	0,079	y5
6	Turnover Tendency	b6	0,045	y6

Table 4. Risk levels

Numeric Risk Level	Expected amount of Risk Associated with Numeric Value
0.00–0.20	Minimal Risk: Individuals should not be experiencing any condition that would have an effect on human performance during console operations.
0.21–0.40	Lower than Average Risk: Individuals might experience one sub-component of a main factor that can have an effect on human performance during console operations.
0.41–0.60	Average Risk: Individuals will experience one or more sub-components of a main factor that might impact human performance on console operations.
0.61–0.80	High Risk: An individual is expected to experience one sub-component for each of the main factors that will greatly impact human performance during console operations.
0.81–1.00	Very High Risk: An individual is expected to experience multiple sub-components from each of the main factors that will significantly impact human performance during console operations, resulting in an irreversible decision.

Figure 3. Classification of risks by shift and severity level.

Figure 4. Classification of risks by category and severity level.

Figure 5. Workplace evaluation results.