Identification of mass transit corridors - a case study for Hyderbad City

Hyderabad City, the capital of the State of Pradesh in India, is the sixth largest metropolitan area there and is experiencing rapid growth, which has given its transportation issues critical importance. The main objective of this study is to develop and validate an urban transport model for the Hyderabad Urban Development Authority (HUDA) area and to identify a mass transit corridor using the software TRANSCAD 5.0. An advantage of TRANSCAD is that it fully integrates geographic information systems (GIS) and demand modeling capabilities required for travel demand forecasting. The model focuses on peak period conditions because these conditions include the most important recurrent congestion periods and tend to guide transportation system design in the urban scenario. Peak period models provide much more accurate indications of directional travel patterns during design conditions than do daily models. Year 2008 is considered the base year. Transport networks for the study area comprising the road network (major arterial and some minor roads) were built. The data was collected through inventory surveys. The travel demand for the study area was estimated in terms of passenger trips by different modes. The base year trip end models have been calibrated for total passenger travel (internal) using the validated peak periods travel patterns and using the planning variables of 2008. Multinomial logit models for mode choice have been calibrated by using the disaggregate travel choice derived from observed modal share (revealed preference) with their respective travel characteristics (time and cost) in the base year. The calibrated models have been used together with projected land use variables and networks to make the forecasts. The calibrated and validated model, along with future planning variables and transport networks, were used to predict future travel demand in the study area. Calibrated trip end models were used to predict the number of trips generated/attracted from/to each of the zones in the study area. Under each of the land use and network scenarios, car, two-wheeler, auto and public transport matrices were assigned on respective highway and transit networks iteratively till the flow on the links stabilize. After each iteration, the cost and time skims were updated and were used to redistribute the further split of trips with respect to different modes. Once convergence was reached, the transit passenger ridership (passengers per hour per direction - PPHPD) figures were extracted on all the major corridors. The corridors having high PPHPD and satisfying minimum ridership for mass transit operations are selected as the mass transit corridors.

  • Availability:
  • Supplemental Notes:
    • Abstract reprinted with permission from the publisher.
  • Authors:
    • Sathish, H S
    • Jagadeesh, H S
    • Murthy, R Sathya
    • Shruthi, S
    • Phaneendra, B
  • Publication Date: 2014-4


  • English

Media Info

  • Media Type: Print
  • Features: Figures; Maps; References; Tables;
  • Pagination: pp 25-37
  • Serial:
    • Indian Highways
    • Volume: 42
    • Issue Number: 4
    • Publisher: Indian Roads Congress
    • ISSN: 0376-7256

Subject/Index Terms

Filing Info

  • Accession Number: 01523955
  • Record Type: Publication
  • Files: TRIS
  • Created Date: May 1 2014 11:42AM