Multimodal network models for robust transportation systems.

Details

• Creators:
  Duthie, Jennifer ; Ferguson, Erin ; Unnikrishnan, Avinash ; Waller, S. Travis
• Corporate Creators:
  University of Texas at Austin. Center for Transportation Research
• Subject/TRT Terms:
  Multimodal Transportation Travel Demand Management Transportation Demand Management Types Of Roads By Network
• Publication/ Report Number:
  SWUTC/09/167867-1
• Resource Type:
  Tech Report
• Geographical Coverage:
  Texas
• Corporate Publisher:
  Southwest Region University Transportation Center (U.S.)
• Abstract:
  Since transportation infrastructure projects have a lifetime of many decades, project developers must consider
  
  not only the current demand for the project but also the future demand. Future demand is of course uncertain and should
  
  be treated as such during project design. Previous research for Southwest Region University Transportation Center
  
  (Report 167556) explored the impact of uncertainty on roadway improvements and found neglecting uncertainty to lead
  
  to suboptimal network design decisions. This research is extended in the current work by considering not only motor
  
  vehicle traffic, but other modes as well.
  
  The first half of this report examines the problem of network flexibility in the face of uncertainty when
  
  constructing a potentially revenue-generating toll road project. Demand uncertainty and network design are considered
  
  by way of a bilevel stochastic recourse model. The results from a test network, for which a closed form solution is
  
  possible, indicate that the value of network flexibility directly depends on initial network conditions, variance in future
  
  travel demand, and toll pricing decisions.
  
  The second half of this report integrates Environmental Justice into the transit frequency-setting problem while
  
  considering uncertainty in travel demand from protected populations. The overarching purpose is to improve access via
  
  transit to basic amenities to: 1) reduce the disproportionate burden transit dependent populations’ experience; and 2)
  
  increase the financial security of low-income households by giving them a feasible option to reduce their dependence on
  
  autos. The example application illustrates the formulation successfully increases access to employment opportunities for
  
  residents in areas with the high percentages of low-income persons, as well as demonstrates the importance of
  
  considering uncertainty in the locations of low-income populations and employment.
  
  
• Format:
  PDF
• Collection(s):
  University Transportation Centers US Transportation Collection
• Main Document Checksum:
  urn:sha-512:f11246c00fef6ef518a8c8856df643f4a3dcd9548c02edb7db7ebe56ffa76ee9867f2ecb840d8425c53e4d3097c0a39238c9e0f68517eada5ce51744f14ed072
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/17814/dot_17814_DS1.pdf
• File Type:
  [PDF - 1.40 MB ]