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
  • Types of roads by network
  • Travel demand management Transportation demand management
• 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.
  More +
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/17814/dot_17814_DS1.pdf
• File Type:
  [PDF - 1.40 MB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha-512:f11246c00fef6ef518a8c8856df643f4a3dcd9548c02edb7db7ebe56ffa76ee9867f2ecb840d8425c53e4d3097c0a39238c9e0f68517eada5ce51744f14ed072