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Truck parking – analytical challenges
Presentation on Draft Work to Date July 26, 2016
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History to date Cheryl asked about Truck Parking Study
Conference call in February Call is to discuss truck parking analytical challenges
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Why Do trucks Need parking
Load cargo Terminal mgmt. Scheduling Space In transit Congestion Weather Legal rest Fueling, etc. Route choice Tolling (WIM) Deliver cargo Terminal mgnt. space 2 Elements to ask: Who controls each element at each decision? What activity is being recorded?
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Time and Type of Parking
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Who pays for truck parking
What is often forgotten… How was shipping rate developed? Growth of ecommerce, 3PLS, and logistics management? How will payment occur?
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Where and when do Trucks need parking-Overdrive
Frequency of Delay Regional Needs
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Jason’s Law- Truck Parking by State and Highway
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Missouri Profile-FHWA Jason’s Law Report
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Regionally, we are interested in corridors
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In Sum, National Problem Tends to be near urban areas
Mismatched pricing/operational metrics Ultimately, it is more of corridor, node challenge than a “statewide” problem
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Role of planning for trucking at State dots
Freight Planning Reducing system risks/exposure Pavement deterioration/asset management Emerging Performance measures
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Some studies related to truck parking
TRB NCHRP 824-Methodology for Estimating the Value of Travel Time Reliability for Truck Freight System Users Circular Num 3-c146 Trucking 101, An Industry Primer NCHRP Dealing with Truck Parking FHWA Jason’s Law Truck Parking Survey Results and Comparative Analysis Study of the Adequacy of Commercial Truck Parking Facilities – Technical Report ATRI Managing Critical Truck Parking Tech Memo #1: Commercial Driver Perspectives on Truck Parking
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State reports Arkansas Florida Georgia Virginia
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Arkansas Time Series Worked with Highway Patrol with surveys
Assessed Public and Private
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Florida Trends of Parking Problem
Site visit and surveys of Parking Needs Recommended occupancy predictive modeling
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Georgia Component of Freight Plan
Focused on truck parking supply of key corridors using mileage indicators
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Virginia Most complete of the state reports Surveys and metrics
Worked with district and highway patrol
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Data Sources for trucking studies
Traffic count data GPS and emerging technologies Surveys Non-Traditional Databases Regulatory Actions
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Traffic Counts Traditional Approach – ground truth to data activities
Tie to other traffic counting activities (WIM, tolling, etc.) See if captive data could be linked to a corridor (time stamps)
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GPS and emerging technologies
ATRI Bottlenecks Study Florida Bluetooth technologies Terminal Scheduling activities
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Savannah 500 Truck Sample
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Same 500 Trucks After 24 Hours
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Same 500 Trucks After 48 Hours
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Same 500 Trucks After 72 Hours
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Same 500 Trucks After 5 Days
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Same 500 Trucks After 7 Days
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Non-Traditional Databases-Modeling Approaches
Simulation tools Fleet management tools Statewide models SHIFT Model development
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Regulatory Safety Data Inspection data Cargo Theft Hours of Service
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Some Recommendations to consider when studying Truck Parking options
Using O/D Pairs to examine long distance need Using Freight establishments to evaluate local need Performance metrics based on Operational Data Examine Regulatory Data
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Some Items to consider regarding Truck Parking
Infrastructure Convert DOT facilities into truck only rest areas Utilize other publically owned land in urban areas Regulatory Hours of Service studies Local ordinances Signage Shipper-Carrier Dynamics Consider other policy actions for lessons learned: Chassis drivability, fuel surcharges, etc. Understand who bears the risk Land Use Incentives NIMBYism, business permitting, etc. Ties to Truck routes Improve Operational Communications Apps (Haystack, reservation systems) Driver notifications Emissions Reductions- mobile deployment Public Private Partnerships Rest area commercialization Truck stop expansion Tax credits for temporary uses
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Summary Truck parking data may become more available to the public sector Push for freight planning and performance measures may create opportunities to examine truck parking in a proactive manner Truck parking data could be tied to land use and traffic generation models Understanding corridor related needs remains critical
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