Using Information at Different Spatial Scales to Estimate Demand to Support Asset Management Decision Making

This project builds on two ongoing Center for Advanced Infrastructure & Transportation (CAIT) projects: the University of Delaware (UD) project "Understanding the Relationships between Household Decisions and Infrastructure Investment in Disaster Recovery: Cases from Superstorm Sandy" and the collaborative project (involving UD, Rutgers and Utah) "Big Data: Opportunities and Challenges in Asset Management." These projects have identified some important large data sources, including survey and sensor data, that are relevant to forecasting demand and understand the needs of communities. In addition other parallel efforts provide map based data on infrastructure vulnerability (for example, "Climate Change Vulnerability and Risk Assessment of New Jersey's (NJ's) Transportation Infrastructure"). Furthermore, the project is consistent with the Moving Ahead for Progress in the 21st Century Act (MAP-21) requirement for states to develop risk-based asset management programs. The research will begin with a literature review to build on relevant new research and initiate an inventory of relevant data and methods. The research team will then develop a framework for integrating the data to support asset management functions. This is more comprehensive in terms of the types of data than the research currently being conducted as part of the UD project and more focused on demand estimation than the exploratory research that is part of the "big data" collaborative project. Using the framework, a case study focused on Sea Bright, NJ will be developed. Our clients are the mayor of Sea Bright, and chair of the Sea Bright 2020 Steering Committee but the project expects to engage other participants. The project will draw on input from the community in the form of the surveys that are about to launch, reports from community meetings, past plans and studies (for example a Smart Growth plan and a study by Bloustein School of Planning and Public Policy students), and plans, geographic information system (GIS) and transportation data from Monmouth County, North Jersey Transportation Planning Authority, and New Jersey Department of Transportation. The case study will be presented at a workshop and the framework updated to reflect comments and other inputs.


  • English


  • Status: Active
  • Contract Numbers:



  • Sponsor Organizations:

    Federal Highway Administration

    Office of Operations R&D
    1200 New Jersey Avenue SE
    Washington, DC    20590

    Township of Sea Bright

    1167 Ocean Avenue
    Sea Bright, New Jersey  United States  07760
  • Project Managers:

    Long, Dina

    Lawrence, Frank

    Szary, Pat

  • Performing Organizations:

    University of Delaware, Newark

    Department of Civil Engineering
    301 DuPont Hall
    Newark, DE  United States  19716
  • Principal Investigators:

    McNeil, Sue

  • Start Date: 20140901
  • Expected Completion Date: 0
  • Actual Completion Date: 20150831
  • Source Data: RiP Project 37205

Subject/Index Terms

Filing Info

  • Accession Number: 01537882
  • Record Type: Research project
  • Source Agency: Center for Advanced Infrastructure and Transportation
  • Contract Numbers: DTRT13-G-UTC28, CAIT-UTC-NC6
  • Files: UTC, RiP
  • Created Date: Sep 23 2014 1:00AM