NATMEC JUNE 5, 2012 DALLAS, TEXAS Improving MPO Decisions With Better Data: Examples in Dallas-Fort Worth Michael Morris, P.E. Director of Transportation.

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Presentation transcript:

NATMEC JUNE 5, 2012 DALLAS, TEXAS Improving MPO Decisions With Better Data: Examples in Dallas-Fort Worth Michael Morris, P.E. Director of Transportation

Analytical Policy Development 2 Data Analytical Methodology Performance Measures on Policy Options Elected Officials Selection

5 Keys to Success 3  Data Plan  Impact Decisions  Sustainable Over Time  Leverage Programs  Expand Analytics through Computer Applications

Travel Models 4  “Keys to Success”  Estimation  Calibration  Validation

5

Records2,457,123 Locations42,985 Daily counts83,009 Traffic Counts 6

Roadway Safety – Limited Access Facilities 7

5,635 Signals 8

Regional Traffic Signal Retiming Program 9 10% Reduction in Travel Time 20% Reduction in Number of Stops 15% Reduction in Emissions (CO, NOx, and VOC) 9

Cockrell Hill at I-30 – Photo taken in 2000 Cockrell Hill at I-30 – Photo taken in 2004 Cockrell Hill Interchange Example Completion Date 2001 Project Cost $16.2 million Developing employment nodes in low income areas reduces vehicle miles traveled by older vehicles and improves air quality. Increase in Total Value $4.8 million $193.4 million Sustainable Development: Cockrell Hill Interchange 10 Today – 6,000 jobs

Congested Corridors 11 Severity of Congestion Identify Bottlenecks Focus Additional Analysis Morning Observed Congestion (6:30 am to 9:00 am) Transfer Data Source to Navigational Data

Freight Data Types 12  Traffic counts  Commodity flows (Freight Analysis Framework, Ver. 3)  Waybill sample (Surface Transportation Board)  Census economic data  Foreign Trade Zone Board data  Intermodal transactions (lifts)  Commodity value (Freight Analysis Framework, Ver. 3)

13

TOWER 55 RAIL RELIEVER STUDY 14

Change in Average Speed LanePhase 1Phase 4 Phase 1 vs. Phase 4 Left Middle Right Truck Lane Pilot Study (Side-Fire Radar) 15

Planning/GIS analysis to determine percentage of transactions Receipts NTTA Tolltag NTTA Cash Transactions County Allocation 36% 34% 20% 1% 8% Toll Revenue Allocations

Innovative Finance Initiative (similar to Transportation Reinvestment Zones) 17  Sale price  Appraised value  Size (acres)  Land use  Zoning class  Access  Tax rate  City  County  Other district

Creative Uses of Vehicle Registration Data 18 Validate Ramp Volume Origin Locations Video Footage of A.M. Peak Ramp License Plates Computer A.M. Peak “Selected Link Analysis”