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D2D Public Transit Paper Struture (I. Introduction and Literature Review…
D2D Public Transit Paper Struture
I. Introduction and Literature Review
Public Transit System
Reliability
Delays
In-Vehicle Time
Day-to-day dynamics
Logit-based
D2D swap
How these D2D models have been utilised
The aim of the study
Examine the evolution of travellers' departure time in public transit system
To analyse which system is more capable to capture the day-to-day evolution
Use the real-world data to calibrate the proposed model
Paper structure
II. Data Description
III. Model Formulation
IV. Case Study
V. Conclusion
II. Data Description
GTFS
Smart card data
Fused data
In-vehicle Time
Distribution
Delays
Distribution
Headway
Number of stops
Top demands
Geographical distribution
Generation of O-D pairs
One stop with a bunch of destinations (i.e. region)
May insert a fig. to illustrate
III. Model formulation
Multinomial logit model
D2D proportional swap
IV. Case Study
Generated O-D pairs w/ logit model
Geographical features
suburb-suburb
central-central
suburb-central
Temporal features
Time of the day
Morning peaks
Evening peaks
In-vehicle time features
Determination of peak demand hours
bottom-up algorithm
visualisation fig.
Batch generation for model comparison
D2D swap
Logit-model
V. Conclusion
Abstract
Quantifying choice patterns
Empirical Study
Comparison of proportional swap system and logit-based model.
How the reliability of public transit affect passengers' choices?
Comparison of morning peak / evening peak.