Alan Hooper Research Associate American Transportation Research Institute (ATRI)

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View from the Road The Trucking Industry s Top Issues Alan Hooper Research Associate American Transportation Research Institute (ATRI)

ATRI Trucking industry s NFP research organization Safety Mobility Economic Analysis Technology Environment www.truckingresearch.org

Board of Directors

Research Advisory Committee

2018 Top Industry Issues 1. Driver Shortage (1) 2. Hours-of-Service (3) 3. Driver Retention (5) 4. ELD Mandate (2) 5. Truck Parking (4) 6. CSA (6) 7. Driver Distraction (8) 8. Transportation Infrastructure /Congestion/ Funding (9) 9. Driver Health and Wellness (10) 10. Economy (11)

Top Issues Drivers vs. Carriers Commercial Drivers 1. Hours-of-Service 2. Truck Parking 3. ELD Mandate 4. Driver Distraction 5. Driver Retention 6. CSA 7. Driver Health/Wellness 8. Transportation Infrastructure /Congestion/ Funding 9. Driver Shortage 10. Automated Truck Technology Motor Carrier Execs 1. Driver Shortage 2. Driver Retention 3. Hours-of-Service 4. Transportation Infrastructure /Congestion/ Funding 5. ELD Mandate 6. CSA 7. Driver Distraction 8. Tort Reform 9. Truck Parking 10. Federal Preemption of State Regulation of Interstate Trucking (F4A)

Driver Shortage: The Top Industry Issue Top Industry Issues Driver Shortage - #1 Driver Retention - #3 Outlook and Projections ATA estimates driver shortage of around 51,000 Current trend projects shortage will reach 174,000 drivers by 2026 Driver wages #1 cost center Wages, bonuses, and benefits continue to rise

Age Demographics

Training Opportunities Program Type Public Schools Offering Program Business 96.5% Computer Technology 94.4% Mechanics and Repair 81.9% Precision Production 78.9% Construction 73.5% Childcare and Education 68.3% Healthcare 64.9% Agriculture 62.4% Other Technology 58.3% Marketing 57.9% Food Service and Hospitality 57.4% Communications and Technology 53.6% Other Occupational Programs 48.2% Personal and Other Services 48.0% Trade and Industry/Transportation 28.8% Protective Services 25.8%

Driver Safety Assessment Tool Is it possible to identify younger individuals with the same characteristics of safe, older drivers? Prior studies focus on relationship between a single driver characteristic and safety outcomes ATRI s research will investigate the relationship between multiple driver characteristics and safety outcomes

Identifying Safe Drivers Driver safety in commercial and non-commercial drivers can be reliably predicted by a number of individual factors: Personality traits Health status Driving experience Age Cognitive ability Attitudes regarding safety Next step beta test tool on ~100 drivers of varying ages, safety performance Tested at MATS in March and GATS in August

Hours-of-Service Flexibility Top RAC priority from 2017 Would flexibility in HOS rules, specifically the 10- hour break, provide opportunity to improve congestion?

HOS Flexibility Uses ATRI s truck GPS dataset to model impacts of split rest beyond current 8/2 Study area was 40-mile corridor in Atlanta Goes through top truck bottlenecks ranking #1, #4 and #17 Depending on time of day, travel times range from 40 minutes to over 90 minutes

40-Mile Corridor Across Atlanta

Two Trips Modeled Current HOS and 6/4 Split

HOS Flexibility Saves Time and $$ Scenario Drive Time 14-Hour On- Duty Window Current 10 hr 45.5 min 12 hr 45.5 min Flexible 10 hr 00 min 11 hr 30 min Flex schedule driver logged 45.5 mins less drive time and 1 hr, 15.5 mins less on-duty time Similar results for 7/3 and 5/5 split

HOS Flexibility Saves Time and $$ If just 25 trips per day avoid ATL study segment at worst times due to flexibility = 4,700 fewer hours drive time annually saved Equates to cost savings of >$300,000 per year for the 25- truck sample at one location Extrapolate to 500 congested locations nationally just 25 trips per location 2.3 million hours drive time saved Direct operating costs savings >$150 million Does not include societal benefits from decreases in truckrelated congestion and more efficient supply chains

Truck Parking Diary Report Truck Parking Diaries Drivers kept 14 days of parking activity Includes when, where, how long to find a spot, how many spots occupied by non-cmvs, lost productivity, etc 148 completed diaries were returned between June and September 2016 2,035 days of truck parking activity 4,763 unique stops

Frequency of Unauthorized/Undesignated Parking

Average Remaining Drive Time Average = 56 minutes/day Opportunity Cost = $4,600 annually ELDs: nearly 2x as likely to spend 30+ minutes looking for parking

Easy Fixes Public Sector Increase time limits at public rest areas Allow parking at weigh stations, other public facilities Reduce legal obstacles (e.g. zoning laws) for private truck stop operators to open/expand facilities

Easy Fixes Private Truck Stops Better management of available spaces Separate space for bobtails/non-cmvs Motor Carriers Carrier-paid truck parking reservation fees may offset productivity loss from pulling over early, reduce driver stress, improve retention Professional Drivers Plan, plan, plan Better utilization of available spaces

Crash Predictor 2018 Update Analysis of over 435,000 driver records to identify behaviors (prior crashes, violations, convictions) most predictive of future crash involvement Updates earlier Crash Predictor Models from 2005 and 2011

Top 10 Crash Predictor Behaviors If a driver had: Crash likelihood increased: A Reckless Driving violation 114% A Failure to Yield Right of Way violation 101% A Failure to Keep in Proper Lane conviction 83% A Failure to Use / Improper Signal conviction 82% A Past Crash 74% An Improper Lane / Location conviction 72% An Improper Pass conviction 70% A Reckless / Careless / Inattentive / Negligent Driving conviction An Improper or Erratic Lane Changes conviction 69% 66% An Improper Lane Change violation 63%

Stable Predictors of Crash Risk Across all three ATRI Crash Predictor Models, the top five stable predictors of crash risk are: 1. A Past Crash 2. An Improper Lane / Location conviction 3. A Reckless / Careless / Inattentive / Negligent Driving conviction 4. An Improper or Erratic Lane Changes conviction 5. An Improper Lane Change violation

Impact of Gender Female drivers safer than males in every statistically significant behavior Men 20% more likely to be involved in crash than women Event Reckless / Careless / Inattentive / Negligent Driving conviction Relative to Females, Likelihood for Males Increased By: 88% Seat Belt violation 78% Failure to Obey Traffic Signal / Light conviction Speeding 1-15 Miles Over Speed Limit conviction 73% 70%

State Enforcement Analysis Rank State Traffic Enforcement Inspections Percent Crashes Percent Difference (p.p.) 1 IN* 31,023 8.31% 4,833 3.45% -4.86 2 NM* 13,800 3.70% 725 0.52% -3.18 3 WA* 14,058 3.77% 1,624 1.16% -2.61 4 CA* 37,318 9.99% 10,755 7.68% -2.32 5 MD* 12,967 3.47% 2,083 1.49% -1.99 6 IA* 9,795 2.62% 1,794 1.28% -1.34 7 NV* 5,105 1.37% 360 0.26% -1.11 8 AZ* 9,985 2.67% 2,353 1.68% -0.99 9 KY* 11,118 2.98% 2,802 2.00% -0.98 10 IL 21,673 5.80% 7,080 5.05% -0.75 * One of the Top Tier states in 2011

Congestion on U.S. NHS cost trucking industry $74.5B in 2016 Cost of Congestion Lost productivity = 1.2 billion hours Equates to 425,533 commercial drivers sitting idle for entire year

State Share of Total Cost of Congestion

Congestion Costs: Urban Concentration Metropolitan Area Total Cost (Billions) Cost per Mile New York/ Newark/ Jersey City, NY/NJ/PA $4.93 $676,845 Chicago/ Naperville/ Elgin, IL/IN/WI $2.28 $405,429 Miami/ Fort Lauderdale/ West Palm Beach, FL $2.24 $921,931 Philadelphia/ Camden/ Wilmington, PA/NJ/DE/MD $1.67 $392,127 Los Angeles/ Long Beach/ Anaheim, CA $1.63 $818,124 Washington/ Arlington/ Alexandria, DC/VA/MD/WV $1.41 $429,440 Dallas/ Fort Worth/ Arlington, TX $1.38 $357,428 Houston/ The Woodlands/ Sugar Land, TX $1.36 $437,436 Atlanta/ Sandy Springs/ Roswell, GA $1.11 $342,886 Nashville/ Davidson/ Murfreesboro/ Franklin, TN $1.11 $445,088 90.9% of congestion was recorded in urban locations

2018 Top 10 Truck Bottlenecks Rank Location Average Peak Speed Y-o-Y Change in Average Peak Speed 1 Atlanta, GA: I-285 at I-85 (North) 24.7-4.10% 2 Fort Lee, NJ: I-95 at SR 4 24.9-8.18% 3 Chicago, IL: I-290 at I-90/I-94 21.2-4.70% 4 Atlanta, GA: I-75 at I-285 North 30.4-6.58% 5 Los Angeles, CA: SR 60 at SR 57 34.2-3.61% 6 Boston, MA: I-95 @ I-90 33.8 7.76% 7 Baltimore, MD: I-695 @ I-70 37.2 0.25% 8 Queens, NY: I-495 (Long Island Expressway) 17.6 0.20% 9 Cincinnati, OH: I-71 at I-75 39.1 2.58% 10 Louisville, KY: I-65 at I-64/I-71 37.4 18.77%

Transportation Infrastructure Funding Analyzes/scores six different approaches for federal transportation infrastructure revenue Fuel Tax Registration Fees General Fund Allocations Financing VMT Tax Tolling

Highway Funding Options Administration Efficiency Equity Effectiveness Score Fuel Tax 5 5 5 5 5.00 Registration Fee 3 4 4 4 3.75 General Fund 5 3 2 2 3.00 Financing 4 3 2 2 2.75 VMT Tax 1 1 5 3 2.50 Tolling 2 2 3 1 2.00

Operational Costs of Trucking Collects and analyzes realworld motor carrier operational data Covers data from 2008-2017 Calculates costs by mile and by hour Sector, regional analyses included

Operational Costs of Trucking Average Carrier Costs per Mile Motor Carrier Costs 2013 2014 2015 2016 2017 Vehicle-based Fuel Costs $0.645 $0.583 $0.403 $0.336 $0.368 Truck/Trailer Lease or Purchase Payments $0.163 $0.215 $0.230 $0.255 $0.264 Repair & Maintenance $0.148 $0.158 $0.156 $0.166 $0.167 Truck Insurance Premiums $0.064 $0.071 $0.074 $0.075 $0.075 Permits and Licenses $0.026 $0.019 $0.019 $0.022 $0.023 Tires $0.041 $0.044 $0.043 $0.035 $0.038 Tolls $0.019 $0.023 $0.020 $0.024 $0.027 Driver-based Driver Wages $0.440 $0.462 $0.499 $0.523 $0.557 Driver Benefits $0.129 $0.129 $0.131 $0.155 $0.172 TOTAL $1.676 $1.703 $1.575 $1.592 $1.691

Bonus Points Bonus Type Average Bonus per Driver Safety $1,317 On-Time Delivery $2,542 Starting $1,401 Retention $974

2018 Top Research Priorities Urban Planning and Smart City Design for Trucks Assessing the Consistency/Accuracy of CMV Crash Data Role and Impact of Government Regulations on Autonomous Vehicles Best Practices for Cannabis Intoxication Testing Inconsistencies in CDL Testing Autonomous Truck Impacts on the Truck Driver

Alan Hooper ahooper@trucking.org 770-432-0628 x 4 www.truckingresearch.org