Course Info

Course Coordinator


Dr.ir. R. van Nes

About this course

Study load (hrs)
168
Level
Master

Related information

Bookmarks

OpenStudy Widget

Transportation and Spatial Modelling

Inter-urban infrastructure network

Description  

1. Objectives of modelling in transport and spatial planning. Model types. Theory of travel and locational behaviour. System description of planning area. Theory of choice models. Aggregate and disaggregate models. Mode choice, route choice and assignment modelling. Locational choice modelling. Parameter estimation and model calibration. Cases and exercises in model application;
2. Role of models in transportation and spatial systems analysis; model types; designing system description of study area (zonal segmentation, network selection); role of shortest path trees;
3. Utility theory for travel and location choice; trip generation models, trip distribution models; applications;
4. Theory of spatial interaction model; role of side constraints; distribution functions and their estimations; constructing base matrices and estimating OD-tables;
5. Theory of individual choice models;
6. Disaggregated choice models of the logit and probit type for time choice, mode choice, route choice and location choice;
7. Integrated models (sequential and simultaneous) for constructing OD-tables;
8. Equilibrium theory in networks and spatial systems;
9. Route choice and assignment; derivation of different model types (all-or-nothing model, multiple route model, (stochastic) equilibrium model); assignment in public transportation networks; analyses of effects;
10. Calibration of parameters and model validation; observation, estimation, validation; estimation methods;
11. Individual exercise computing travel demand in networks; getting familiar with software; computing all transportation modelling steps; analyse own planning scenarios; writing a report.

Study Goals

1. Insight in the function of mathematical models in transportation and spatial planning;
2. Knowledge of theoretical backgrounds of models;
3. Knowledge of application areas of models;
4. Ability to develop one's own plan of analysis for model computations; 5. Ability to apply models on planning problems; 6. Ability to present outcomes of model computations.  

 

Metamenu

Let us know what you think

Do you have a question? Have you run into any problems? Do you want to report a problem? Or do you have tips for us to improve TU Delft OpenCourseWare? TU Delft Bureau OpenER would love to hear what you have to say.
If the contact form does not show properly, please use the form on our contact page.

Please complete all requested information:
Thank you! After sending in your feedback, you'll be redirected to the TU Delft OpenCourseWare homepage.