OPTIMALLY LOCATING URBAN RAIL TRANSIT ALIGNMENT USING GIS

The objective of this paper is to discuss an approach for optimally aligning urban rail transit system on demand-oriented corridor on a city transport network, using geographical information system (GIS) tools. The approach is part of a model to develop a demand-oriented effective and efficient integrated urban mass transit system for a city which has a potential demand for a new rail-based mass transit system besides the street transit system and existing rail-based system (if any). In other words, given the assigned flows (as per User Equilibrium approach) of horizon year peak hour public transport demand on the city transport network, all the corridors that are demand intensive and are beyond the capacity of street transit system to handle, will be served by a rail transit system and the rest of the city will be covered by demand-oriented feeder street transit route network. This setup will allow the user to travel from his origin to final destination by shortest possible path and also the operator to earn maximum revenue, as the demand will be assigned as per the user equilibrium approach and the rail corridor and feeder routes will be identified giving due consideration to this demand. Therefore, within the integrated network, the rail corridor will be optimally aligned from both the users' and operator's point of view because it will partially cover the shortest possible route of maximum O-D pairs and will also give maximum revenue returns to the operator (being demand intensive). The proposed approach has two parts: public transport travel demand forecasting, and heuristic-based rail transit corridor identification. The approach was successfully applied on Thane City, which is a part of Mumbai Metropolitan Region (MMR) India.

Language

  • English

Media Info

  • Features: Figures; References; Tables;
  • Pagination: 16p

Subject/Index Terms

Filing Info

  • Accession Number: 00972803
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Apr 27 2004 12:00AM