Evaluating and Visualizing Multimodal Networks at Scale

Improvements in technology, performance metrics and the increased availability of big data are re-shaping the transportation planning industry and catalyzing change in the way planners and engineers evaluate transportation systems. The Alameda Countywide Multimodal Arterial Plan (MAP) is a recently completed planning effort that evaluated a 1,200-mile arterial system using geographic information system (GIS) technology, big data and various performance metrics. The creation of an automated GIS cross-sectional evaluation tool (GIS Tool) and visualization framework intended to enable large scale scenario planning efforts for multimodal transportation system analysis was a key development of the MAP. This GIS Tool has the capability to evaluate multimodal performance, identify multimodal network needs and recommend infrastructure improvements for implementation within available right-of-way to address network needs. The GIS Tool also automates the creation of three-dimensional (3D) renderings to visualize cross-sectional improvements at scales not previously feasible. As a result of these innovations, a set of recommended multimodal network improvements were identified at large scale to inform decision makers within Alameda County on infrastructure improvements that can increase the arterial system throughput by creating continuous and connected multimodal networks and expanding the number of people served via all modes. This paper presents the methodology and approach for developing the GIS 16 Tool – including potential applications – to provide a framework for public agencies to utilize the latest innovations in technology, big data and performance metrics, and guide investments in transportation infrastructure.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee ADB50 Standing Committee on Transportation Planning Applications.
  • Corporate Authors:

    Transportation Research Board

    500 Fifth Street, NW
    Washington, DC  United States  20001
  • Authors:
    • Martin, Francisco J
    • Shipley, Kyle
    • Wasserman, David
    • Wu, Daniel
  • Conference:
  • Date: 2017

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 20p
  • Monograph Title: TRB 96th Annual Meeting Compendium of Papers

Subject/Index Terms

Filing Info

  • Accession Number: 01630164
  • Record Type: Publication
  • Report/Paper Numbers: 17-06168
  • Files: PRP, TRIS, TRB, ATRI
  • Created Date: Mar 27 2017 9:32AM