A Data-Driven Method for Prioritizing Projects in Central Idaho Prepared for the 2012 ITE Western District Meeting Santa Barbara, California Prepared by.

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Presentation transcript:

A Data-Driven Method for Prioritizing Projects in Central Idaho Prepared for the 2012 ITE Western District Meeting Santa Barbara, California Prepared by Bob Schulte, DKS Associates June 2012

Presentation Outline 1. Development of Corridor Needs Assessment Tool 2. Findings and Conclusions 3. Next Steps

Coverage Area – District 4

Need for Assessment Tool  District 4 Needs Support was needed for pre-STIP project development process Support was needed for pre-STIP project development process Dist. 4 had no structured, systematic method for needs identification Dist. 4 had no structured, systematic method for needs identification Method had to be practical, efficient, and sustainable Method had to be practical, efficient, and sustainable  ITD Headquarters Requirements  Headquarters grades each district on on-time, on- budget project delivery performance

Corridor Needs Assessment Tool

Corridor Health Tool

STIP Funding Categories Minor Pavement Preservation (1R) Minor Pavement Preservation (1R) Pavement Maintenance Pavement Maintenance Pavement Restoration Pavement Restoration Bridge Preservation Bridge Preservation Bridge Restoration Bridge Restoration Expansion Expansion Highway Safety Improvement Highway Safety Improvement

Filtering Factors  Filtering factors are applied prior to calculating need scores  Factors reflect minimum eligibility requirements within each funding program  Example – Minor Pavement Preservation Program  Pavement has not structurally failed, but is not in good structural condition  This means: 2.5 < Cracking Index < 3.5

Identification of Need Score Factors and Weights  Factors needed to reflect: Requirements from ITD Headquarters for project development Requirements from ITD Headquarters for project development Factors considered by Dist. 4 in their project selection process Factors considered by Dist. 4 in their project selection process  Weights:  Initial set of weights developed once factors defined  Weights revised based on Dist. 4 input

Need Score Formula - Pavement Preservation

Data Sources  Example data sources:  Highway Data Quest (on-line roadway database)  Dist. 4 High Accident Location (HAL) listing  Traffic volume data from ITD Road Section  Bridge data from ITD Bridge Section  WebCARS (on-line crash records database)  Only new data developed was LOS data

System Implementation Corridor Needs Assessment Tool consists of two components:  Excel spreadsheets for calculating and reporting need scores  GIS shape files for graphically displaying levels of need for highway segments

Need Score Spreadsheet - Pavement Preservation

Need Score Summary

Need Score Map - Pavement Preservation  Segments are color-coded by percentile need category  Gray segments are segments that do not meet filters  Maps allow quick first assessment of highest-need segments  Additional information can be obtained by “drilling down” into spreadsheets

Findings and Conclusions  Corridor Needs Assessment Tool:  Valuable first-cut method for identifying needs by funding category  Provides a systematic, defensible process for establishing project needs  Identified issues:  Data collection more labor-intensive than anticipated  Needs data is static and reflects existing conditions only

Next Steps  Short-term improvements:  Integration of Tool with ITD Transportation Asset Management System (TAMS)  Development of capability to produce future need scores Long-term improvements: Long-term improvements:  Variable segmentation of highways for analysis  Linkage of Tool with needs-related databases

Bob Schulte DKS Associates TRANSPORTATION SOLUTIONS 720 SW Washington Street, Suite 500 Portland, Oregon Ph: |Cell: |