Identification of problems, defining goals, operationalising objectives
The major increase in computing power made it possible to analyse problems with a significantly larger scale and level of detail
Urban transport modelling system
Four stages: Trip generation, Trip distribution, Modal split, Traffic assignment
Generation of solutions for testing
Can be achieved in various ways, including tapping experience and creativity of local transport planners, construction of design models
Role of the model in transport planning
Contributes to the key steps of a decision-making framework
Analytical models
Attempt to replicate the system of interest and its behavior using mathematical equations
Model
A representation of a part of the real world concentrating on important elements for analysis
Models are necessary in transport planning due to the impossibility of conducting experiments on existing or non-existing infrastructure and transport modes
Predicting traffic flow, using forecasting techniques, predicting future distribution of houses, employment, shops, and land uses
Post-analysis phase
Evaluation of alternatives, implementation of chosen alternative, monitoring system
Models are subject to bias when used for forecasting
A theoretical framework was developed, compatible with economic theory, providing a justification and clarification of methods that were originally proposed on practical grounds
Transport systems are composed of a complex set of relationships between demand, service locations, and supporting networks
Transport system consists of three interdependent layers: Travel patterns, Transport services, Traffic services
Transport systems evolve within a complex set of relationships between transport supply and demand
Generation of solutions for testing
Tap experience and creativity of local transport planners, construct a large-scale design model using optimisation techniques
An economic system with activities in different areas generates movements supported by the transport system
Testing the model and solution
Test model performance under different scenarios to confirm reasonableness
Transport demand is the expression of transport needs in terms of passengers, volume, or mass per unit of time and space
Evaluation of solutions and recommendation
Operational, economic, financial, and social assessment of alternative courses of action based on model indicators
Transport is a service that must be utilized immediately and cannot be stored
Passenger-km and ton-km are common measures expressing realized passenger and freight transport demand respectively
Demand for travel is dependent on the trip to be made, available modes, and individuals making the trips
Model construction
Select the simplest modelling approach possible, specify the model, estimate and calibrate parameters, validate performance
Transport systems are mainly dependent on the commercial environment for attributes such as transport costs, capacity, efficiency, reliability, and speed
Forecasting future values of planning variables
Necessary to test proposed solutions or schemes
Transport supply is the capacity of transport infrastructures and modes over a geographically defined system for a specific period
Traffic services
Enable the movement of transport modes through physical infrastructure and management and operations of the infrastructure (incl. pricing policies)
Classic four-stage model
Trip generation model estimating the total number of trips generated by or attracted to each zone of the study area
2. Trip distribution allocating trips to destinations
3. Modal split modelling the choice of mode
4. Assignment of trips by each mode to their corresponding networks
Demand for travel is actually a derived demand, as it is generated by the desire to join in activities, and generally not by the desire just to travel. The transport system provides a physical connection between activities
Macroscopic flow models
Flow units are assumed to behave in some collective fashion
If demand is higher than supply
Prices would rise due to "bidding up" of the customers, stimulating an increase in supply and a decrease in demand, driving the market to the equilibrium point
Land use impact assessment models
Focus on changes to new land use facilities and use a rudimentary description of the transport system serving that facility in predicting its impacts on the surrounding region
Limitations of trip distribution models
Constant trip lengths
Use of automobile travel times only to represent 'distance'
Limited effect of socio-economic-cultural factors
Feedback problems
Dense network models
Simulate flows in small-scale networks where the level of flow on each link can vary in response to changes in the traffic control system and traffic congestion levels, focusing on short time periods (e.g., a peak hour)
Supply in transport
System performance, including travel times, headways, and capacities provided by the transport system given a certain capital investment, operating strategy, and demand level
Microscopic simulation
Assessment of individual vehicle or driver performance at an intersection or along a link