Ελληνικά
  1. Home
  2. Courses
  3. Transportation Systems Planning

Transportation Systems Planning

Course Description:

Introduction to the basic components of the Transport Planning approach. Helps students to understand the necessity of a systemic analysis in Transport Planning and the capability of transport modeling as modeling tool. Transportation demand models (forecasting future needs for infrastructure and modes) are presented. Introduction to the basic four step planning process. Computational algorithms and real case examples are presented.

Prerequisite Knowledge

Probability and statistics

Course Units

# Title Description Hours
1 INTRODUCTION TO TRANSPORT SYSTEMS Characteristics of the transport system. Interaction between land use and transport systems. 1Χ3=3
2 THE URBAN TRANSPORT SYSTEM The Urban Transit System, main features, standards, level of service, passenger comfort and safety. 1Χ3=3
3 THE PLANNING PROCESS. O-D SURVEYS The necessity of a systemic planning approach. Land use. Models and steps for forecasting future demand. Inventory, O-D surveys, area of study, zoning, sampling and sample size, questionnaires. Athens O-D surveys. 2Χ3=6
4 THE PLANNING PROCESS-TRIP GENERATION The four step planning methodology. Trip Generation: Cross-Classification (Category Analysis), Regression Analysis. 2Χ3=6
5 THE PLANNING PROCESS-TRIP DISTRIBUTION The four step planning methodology. Trip Distribution: Growth Factor models (uniform factor, average factor, Furness, Fratar, Detroit), Gravity Models. 2Χ3=6
6 SUPPLY AND DEMAND ANALYSIS Introduction to the basic elements of supply and demand models. Economic aspects. Transportation infrastructure supply analysis: cost models and economic planning. Demand-supply and network equilibria. 1Χ3=3
7 THE PLANNING PROCESS-MODAL SPLIT The four step planning approach. Modal split: Aggregate choice models - trip end models-diversion curves. Discrete choice models (logit models). 2Χ3=6
8 THE PLANNING PROCESS-NETWORK ASSIGNMENT The four step planning approach. Network assignment: Static models (deterministic/stochastic) -minimum path algorithms, all-or-nothing assignment (no/with capacity constraints). Dynamic models. 2Χ3=6
9 THE EXAMPLE OF ATHENS TRANSIT SYSTEM Implementation of the four step planning approach in the case of the Athens transit system. 1Χ3=3

Learning Objectives

  • Familiarization with the transport demand forecasting models.
  • Understand the necessity for the systemic approach in transport planning.
  • Understand the applicability and limits of modeling tools for transport demand forecasting.
  • Familiarization with the use of simple models in real cases using Excel.

Teaching Methods

Teaching methods Class Lectures. Problem solutions. Discussion of real case studies.
Teaching media Power point presentations. Student interaction via Excel.
Computer and software use YES.

Student Assessment

  • Final written exam: 80%
  • Other: 20%

Textbooks - Bibliography

  1. "Transportation Systems Planning" Stathopoulos A., Karlaftis M., Papasotiriou Press, 2008
  2. "Transportation Systems Planning and transport Economics", Vythoulkas P., NTUA Press, 2016
  3. Course Notes, "Transportation Systems Planning- Methods and Examples", Stathopoulos A. NTUA Press 2006.

Lecture Time - Place:

  • Monday, 08:45 – 11:30,
    Rooms:
    • Αμφ. 1/2