GIS-based Modeling for Statewide and Corridor Freight Planning
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1 GIS-based Modeling for Statewide and Corridor Freight Planning GIS-T T Conference Colorado Springs, CO Presented by Erik Cempel Cambridge Systematics, Inc. March 19, 2003
2 Outline of Presentation Background Eastern Colorado Mobility Study Background GIS-based Modeling Approach Evaluation Process Project Results Application to Other Projects Conclusion
3 Background GIS used for assessing freight infrastructure needs GIS used as single platform for: Data compilation Travel modeling Analysis - Benefit/cost - Economic - Performance Display
4 Eastern Colorado Mobility Study Background GIS system used to assess freight mobility and infrastructure needs eds Improve north-south freight mobility/accessibility Integrate with Heartland Express and Ports to Plains corridor improvements Divert trucks from I-25 I corridor in the Front Range Examine base and future needs (2000 and 2025)
5 Eastern Colorado Mobility Study Background Possible Heartland Express Corridors Possible Corridor Connectors Ports to Plains
6 Eastern Colorado Mobility Study Background DATA Commodity-based Truck Trip Estimation Cost Analysis TransCAD Model & GIS IDAS REMI Economic Analysis Corridor Selection
7 GIS-based Modeling Approach - Data Inputs Truck demand (trips) Estimated using: - Reebie & Associates Commodity Flow Data - Woods & Poole Employment Data - Truck counts and payload factors Socioeconomic data from: NFR TAFS model PPACG model Woods & Poole Census
8 GIS-based Modeling Approach - Data Inputs CDOT Highway Network
9 GIS-based Modeling Approach - Data Inputs NFR TAFS Highway Network
10 GIS-based Modeling Approach - Data Inputs PPACG Highway Network
11 GIS-based Modeling Approach - Platform Selection TransCAD GIS Travel demand model Can be used for presentation of data/output Already used by many CO agencies - NFR MPO - DRCOG - CDOT (for several corridor studies and Eastern Colorado)
12 GIS-based Modeling Approach Eastern Colorado Mobility Study 2000 TAZ System
13 GIS-based Modeling Approach Eastern Colorado Mobility Study 2000 Highway Network
14 GIS-based Modeling Approach Auto demand (trips) created in TransCAD using O-D O D matrix estimation Traffic counts Employment data NCHRP 365 trip rates, occupancies Truck demand imported into GIS and modeling system Auto and truck demand assigned using multi-class assignment Capacity constraint applied to account for congestion Identified diversions of autos and trucks
15 GIS-based Modeling Approach Network updated based on CDOT programmed projects Auto demand increased with growth factors (applied using GIS) from population forecasts Truck demand increased with growth factors (applied using GIS) from: f Employment Productivity Consumption
16 Evaluation Process Data, trips, networks, and TransCAD model results stored using GISG IDAS integrated with GIS travel demand-based data to assess impacts of: Emissions Reliability Accidents Fuel consumption Other measures Project costs based on CDOT estimates Economic impact analysis using REMI and integrated with GIS system
17 Project Results Sample Output: 2025 Truck Percentages
18 Project Results Heartland Express Preferred Alternative: US 385 Possible Corridor Connectors Ports to Plains
19 Application to Other Projects Reebie data purchased by Colorado to represent: Colorado county-to to-county flows (all counties) State-to to-state flows (entire U.S.) Commodity flows by mode (rail, air, truck) TransCAD GIS system represents: Detailed eastern Colorado highway network, TAZ system, travel demand, and socioeconomic data Procedures in-place to expand system for entire state
20 Application to Other Projects These data used for Colorado: Freight analysis Passenger analysis Long-distance corridor analysis Statewide planning and transportation planning region analysis Can be expanded to build: Statewide GIS system Statewide travel modeling system Statewide intermodal/freight plan
21 Conclusion GIS can provide a single platform for: Data compilation Travel modeling Analysis Display GIS can accept, store, join data from many different platforms and a sources GIS was instrumental in successful completion of Eastern CO Mobility Study
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