Course layout
Week 1: Module-A: Introduction to Urban Transportation Planning
Urbanization, Urban Transportation: Impacts, Behavioral Changes, Urban Transportation problems & Externalities- Congestion, Safety, Emissions, etc.
Introduction to Transport planning; Transport Planning Morphology: Problem definition, Solution generation, solution analysis, Evaluation and choice, Implementation
Hierarchical levels of Urban Transport Planning: Conceptual Plan, Outline plan, Master plans, statutory or advisory plans, detailed development plans
Week 2: Module-B: Overview of 4-Stage Urban Transportation Planning Process
Overview of traditional four step travel demand forecasting process: Urban Activity forecasts, Trip generation, Trip Distribution, Mode Choice, Traffic assignment
Specification, Calibration, Validation and Forecasting; Information needs for Travel Demand Forecasting: Study Area, Urban Activities, Zoning, Urban Activities, Transportation System, Travel information, Types of Movements
Data Collection Techniques (Home-interview survey, Commercial vehicle survey, Innovative Commercial Vehicle Tracking Methods, Intermediate Public Transport Survey, Cordon-Line Survey, Post-Card Questionnaire Survey, Registration – Number Survey, License Plate Follow-Up Survey Technique, Tag-on- Vehicle Survey)
Week 3: Module-C: Trip Generation
Introduction; Basic considerations in trip generation - amount of urban activity, character of urban activity, other considerations, special generators; Trip classification; Factors affecting trip generation
Methods of trip Generation- Regression analysis, trip rate analysis, cross classification analysis; Multiple Linear Regression- Regression analysis concept; The step wise approach with examples
Week 4: Module-C: Trip Generation (Continued…)
Multiple Linear Regression- Considerations for zonal based multiple regression, Considerations for household based multiple regression, matching productions and attractions
Category analysis- Basic approach, specifying trip generation model (trip production model structure, trip attraction model structure, Internal- External trip generation), Trip generation model calibration (developing trip production rates, developing trip attraction rates), advantages and disadvantages
Stability of trip generation model- Temporal stability, geographical stability; Trip generation model application- Trip production model application, Trip attraction model application
Week 5: Module-D: Trip Distribution
Introduction, Basic considerations in Trip Distribution, P-A Matrix to O-D Matrix, Factors affecting trip distribution: Properties of transport network, spatial separation between various zones
Growth factor methods- Uniform factor method, Average factor method, Detroit Method, Fratar method; Furness method
Synthetic methods -Introduction to Gravity Model
Week 6: Module-D: Trip Distribution (Continued…)
Gravity Model- Calibration, BPR Approach of Calibration
Intervening opportunities model: Concept, Advantages, Limitations, Illustrative example, Competing opportunities model, Limitations
Doubly restrained model: Concept, Calibration, Linear programming approach to Trip Distribution: Concept, limitations
Week 7: Module-E: Modal Split
Introduction; Influencing factors of mode choice; Types of modal split models- Trip end type and trip interchange type; Types of modal split models - Trip end type (Southern Wisconsin Model) and trip interchange type (Diversion curve model), Limitations, Aggregate and disaggregate models, advantages of disaggregate over aggregate modelling;
Elements of choice decision process; Framework for the choice process of an individual
Disaggregate mode choice models- Introduction, Utility theory, Probabilistic choice theory
Week 8: Module-E: Modal Split (Continued…)
Binary choice models- Binary logit model, discriminant analysis, Probit analysis; Logit model; Multinomial Logit model; Nested logit model, Estimation of logit models, Two-stage modal split models
Week 9: Module-F: Traffic Assignment
General, link cost function, Person-trips and vehicle Trips, diurnal patterns of demand, Trip directions
Network properties: Link, nodes, characteristics of link (capacity, free flow speed, travel time, etc.), link flows, inter-zonal flows, Network connectivity,
Minimum spanning tree, shortest path, etc.; Network Algorithms: Kruskal, Prims, Dijkstra, Floyd
Week 10: Module-F: Traffic Assignment (Continued…)
Route Choice Behavior: User equilibrium, system equilibrium, stochastic equilibrium, Diversion Curves: California diversion curves, Detroit diversion curves, Bureau of Public roads diversion curves
Deterministic traffic assignment techniques- All-or-nothing assignment, Multi-Path Traffic Assignment,; Incremental assignment, capacity restraint assignment,; Stochastic Traffic assignment techniques; Dynamic traffic assignment techniques: Basic Concepts and Approach
Week 11: Module-G: Land Use and Transportation
Introduction; Urban land use planning- land use and land cover, land use classification; Land use transportation interaction; Accessibility and mobility, Land use models
Module-H: Urban Goods Movement
Introduction; Classification of urban goods movement; Factors affecting goods movement; Modelling Approaches
Data collection; Strategy for goods transport facility planning; Facilities required in goods terminals; Time series techniques for forecasting truck traffic
Week 12: Module-H: Urban Goods Movement (Continued…)
Introduction; Classification of urban goods movement; Factors affecting goods movement; Modelling Approaches
Module I: Emerging Trends in Transportation planning
Activity based modelling; Spatial data infrastructure (SDI); Big Data analytics
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