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Measuring, Predicting and Controlling Disruption Impacts for Urban Public Transport
Menno Yap
Transport and Planning
Research output
:
Thesis
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Dissertation (TU Delft)
482
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Weight
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Social Sciences
Measurement
100%
Public Transport
100%
Time
57%
Uncertainty
28%
Service Provider
28%
Measures
28%
Cost
28%
Location
14%
Control
14%
Vehicle
14%
Subject
14%
Research
14%
Loss
14%
Decision
14%
Approach
14%
Service Industries
14%
Revenue
14%
Transport System
14%
Passenger Transport
14%
Environment
14%
Interaction
14%
Duration
14%
INIS
public transport
100%
passengers
57%
cost
28%
control
14%
vehicles
14%
levels
14%
reimbursement
14%
interactions
14%
losses
14%
environment
14%
Keyphrases
Reimbursement Costs
33%
Passenger Transport Services
33%
Rescheduling Cost
33%
Cost Reimbursement
33%