Choice Set Generation in Multi-Modal Transportation Networks

This thesis addresses travel choices in multi-modal transportation systems, which can include private transport modes (walking, bike, and car), scheduled public transport services (train, bus, tram, and metro), or non-scheduled public transport services (taxi and demand responsive services). The author proposes a model for multi-modal travel choices that is based upon the assumption that a clear distinction in the modeling between a choice set generation step and, conditional on that set, the genuine choice modeling step, may significantly improve choice analysis and prediction. Choice set generation consists in finding all feasible routes that a traveler might consider for traveling from origin to destination. The approach is also based on the use of a supernetwork methodology in which the networks of all available travel modes are combined into a single network that includes transfer possibilities between modes. The author discusses the proposed modeling approaches, the notion of an adequate choice set in uni-modal and multi-modal networks, and the development of a new route choice set generation algorithm (double stochastic approach). The double stochastic choice set generation approach is then applied in a real-world multi-modal network, namely in the Rotterdam-Dordrecht region (The Netherlands).

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9789055840878
• Corporate Authors:

  Netherlands TRAIL Research School

  Delft,   Netherlands  2600 GA
• Authors:
  • Fiorenzo-Calatano, Maria Stella
• Publication Date: 2007

Language

• English

Media Info

• Media Type: Print
• Features: Figures; Maps; References; Tables;
• Pagination: 333p

Subject/Index Terms

• TRT Terms: Algorithms; Bicycling; Buses; Choice models; Mathematical prediction; Mode choice; Multimodal transportation; Networks; Private passenger vehicles; Public transit; Taxicabs; Walking
• Uncontrolled Terms: Modeling
• Geographic Terms: Dordrecht (Netherlands); Rotterdam (Netherlands)
• Subject Areas: Data and Information Technology; Economics; Highways; Operations and Traffic Management; Passenger Transportation; Pedestrians and Bicyclists; Planning and Forecasting; Public Transportation; Railroads; Safety and Human Factors; Society; I10: Economics and Administration; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01054685
• Record Type: Publication
• ISBN: 9789055840878
• Files: TRIS
• Created Date: Jul 31 2007 7:23AM