Learn · Urban Transportation Systems Planning
Lecture 13 of 64Module 03: Trip Generation
Lecture 13: Modelling Approaches and Step-Wise Approach of Multiple Regression Analysis
Prof. Bhargab Maitra · IIT Kharagpur
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- Urban Transportation Systems Planning, IIT Kharagpur (at NPTEL)
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All the lectures
- Lecture 01: Urbanization, Urban Transportation and Transportation Demand
- Lecture 02: Travel Behaviour, Transportation Externalities & Present Scenario of Urban Transportation "
- Lecture 03: Approaches for Mitigating Externalities, Need for Transportation Planning & Transport Planning Morphology
- Lecture 04: Transport Planning Morphology
- Lecture 05: Hierarchical Level of Urban Transport Planning & Interrelationship of Transport Problems and Models
- Lecture 06: Traditional Travel Demand Forecasting Process
- Lecture 07: Traditional Travel Demand Forecasting Process, Specification, Calibration, Validation and Forecasting
- Lecture 08: Information Needs for Travel Demand Forecasting: Study Area, Urban Activities, Transportation System
- Lecture 09: Information Needs for Travel Demand Forecasting: Travel Information
- Lecture 10: Data Collection & Techniques
- Lecture 11: Introduction and Basic Considerations of Trip Generation
- Lecture 12: Trip Classifications and Factors Affecting Trip Generation
- Lecture 13: Modelling Approaches and Step-Wise Approach of Multiple Regression Analysis
- Lecture 14: Step-Wise Approach of Multiple Regression Analysis and Examples.
- Lecture 15: Examples, Common Mistakes and Zonal Based Models of Multiple Regression Analysis
- Lecture 16: Zonal and Household Based Regression Models
- Lecture 17: Cross Classification Analysis: Model Structure and Calibration
- Lecture 18: Cross Classification Analysis: Model Calibration
- Lecture 19: Cross Classification Analysis: Model Application, Advantages and Dis Advantages
- Lecture 20: Matching Productions and Attractions; Stability of Trip Generation Models
- Lecture 21: Basic Considerations and Trip Distribution Matrices
- Lecture 22: Methods for Trip Distribution, Uniform Growth Factor Method and Average Growth Factor Method
- Lecture 23: Detroit Method and Fratar Model
- Lecture 24: Furness Method
- Lecture 25: Synthetic Methods, Measures of Travel Resistance and Gravity Model
- Lecture 26: Singly Constrained Gravity Model
- Lecture 27: Bureau of Public Roads Calibration Procedure
- Lecture 28: Doubly Constrained Gravity Model
- Lecture 29: Intervening Opportunities Model
- Lecture 30: Competing Opportunities Model & Linear Programming Approach
- Lecture 31: Factors Influencing Mode Choice and Aggregate Modal Split Models
- Lecture 32: Disaggregate Mode Choice Models - I
- Lecture 33: Disaggregate Mode Choice Models - II
- Lecture 34: Disaggregate Mode Choice Models - III
- Lecture 35:Disaggregate Mode Choice Models - IV
- Lecture 36: Disaggregate Mode Choice Models - V
- Lecture 37: Logit Choice Models - I
- Lecture 38: Logit Choice Models - II
- Lecture 39: Logit Choice Models - III
- Lecture 40: Logit Choice Models - IV
- Lecture 41: Introduction to Traffic Assignment
- Lecture 42: Network Algorithms I
- Lecture 43: Network Algorithms II
- Lecture 44: Network Algorithms III
- Lecture 45: Static assignment models, User Equilibrium
- Lecture 46: User Equilibrium Assignment & System Optimum Assignment
- Lecture 47: Deterministic Traffic Assignment I
- Lecture 48: Deterministic Traffic Assignment II
- Lecture 49: Stochastic Traffic Assignment I
- Lecture 50: Stochastic Traffic Assignment II & Dynamic Traffic Assignment
- Lecture 51: Land Use and Transportation - I
- Lecture 52: Land Use and Transportation - II
- Lecture 53: Land Use and Transportation - III
- Lecture 54: Land Use and Transportation - IV
- Lecture 55: Urban Goods Movement - I
- Lecture 56: Urban Goods Movement - II
- Lecture 57: Urban Goods Movement - III
- Lecture 58: Urban Goods Movement - IV
- Lecture 59: Activity Based Modelling
- Lecture 60: Big Data, GIS & SDI
- Live Session 19-02-2021
- Live Session 01-04-2021
- Live Session 03-09-2022
- Live Session 18-04-2022