Truck parking – analytical challenges Presentation on Draft Work to Date July 26, 2016

History to date Cheryl asked about Truck Parking Study Conference call in February Call is to discuss truck parking analytical challenges

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?

Time and Type of Parking

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?

Where and when do Trucks need parking-Overdrive Frequency of Delay Regional Needs

Jason’s Law- Truck Parking by State and Highway

Missouri Profile-FHWA Jason’s Law Report

Regionally, we are interested in corridors

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

Role of planning for trucking at State dots Freight Planning Reducing system risks/exposure Pavement deterioration/asset management Emerging Performance measures

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 317- 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

State reports Arkansas Florida Georgia Virginia

Arkansas Time Series Worked with Highway Patrol with surveys Assessed Public and Private

Florida Trends of Parking Problem Site visit and surveys of Parking Needs Recommended occupancy predictive modeling

Georgia Component of Freight Plan Focused on truck parking supply of key corridors using mileage indicators

Virginia Most complete of the state reports Surveys and metrics Worked with district and highway patrol

Data Sources for trucking studies Traffic count data GPS and emerging technologies Surveys Non-Traditional Databases Regulatory Actions

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)

GPS and emerging technologies ATRI Bottlenecks Study Florida Bluetooth technologies Terminal Scheduling activities

Savannah 500 Truck Sample

Same 500 Trucks After 24 Hours

Same 500 Trucks After 48 Hours

Same 500 Trucks After 72 Hours

Same 500 Trucks After 5 Days

Same 500 Trucks After 7 Days

Non-Traditional Databases-Modeling Approaches Simulation tools Fleet management tools Statewide models SHIFT Model development

Regulatory Safety Data Inspection data Cargo Theft Hours of Service

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

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

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