Traffic congestion grew this year in U.S. cities, but NYC saw no increase

INRIX data shows Chicago overtook New York City as the most congested U.S. city in 2025, with the typical driver losing 49 hours to traffic versus 43 hours in 2024; Baltimore and Philadelphia experienced 31% jumps in delays after the Francis Scott Key Bridge collapse and mandated FRA rail-car inspections, respectively. The report notes New York’s congestion pricing likely reduced major corridor congestion and highlights municipal responses—AI-based signals, improved signal timing and predictive data—underscoring growing infrastructure needs and regulatory actions that could influence urban transportation planning and capital allocation.

Analysis

Market structure: Rising congestion (49 hours lost vs 43 in 2024, ~14% increase) reallocates value to physical builders and smart-traffic tech. Winners: engineering contractors (Jacobs J, AECOM ACM), materials (Vulcan VMC, Martin Marietta MLM) and edge-AI/telecom suppliers (Trimble TRMB, NVDA for edge compute); losers: marginal trucking/last-mile operators (J.B. Hunt JBHT) facing cost pressure and CBD-centric office landlords (SLG). Capacity is fixed short-term while demand for targeted capex and software pilots accelerates, creating pricing power for contractors and premium for low-latency compute and 5G backhaul.

Risk assessment: Tail risks include rapid municipal adoption of congestion pricing (demand destruction for ride-hailing), major infrastructure failures prompting multi-year closures, or a federal budget pause that defers projects. Immediate (days–weeks) risks are logistics disruptions and spot-cost inflation (diesel, asphalt), short-term (3–9 months) is procurement and pilot contract flow, long-term (1–3 years) is sustained capex and labor shortages. Hidden dependencies: municipal election cycles, muni-credit spreads, and supply-chain lead times for heavy equipment and semiconductors.

Trade implications: Tactical longs: establish 1.5–2% positions in J and ACM to capture municipal/RRFP cycles over 6–18 months; 1–1.5% long VMC for materials exposure. Pair trade: long J (2%) / short JBHT (1%) to play contractor pricing power vs carrier margin squeeze over next 3–12 months. Options: buy 6–9 month TRMB call spreads (15–25% OTM) sized 1.5% to capture AI traffic deployments. Rotate portfolio to overweight XLI/XLB and underweight IYT for 3–12 months.

Contrarian angles: Consensus leans tech-first; we see underpriced value in materials/engineering where payout is near-term and contractable. The market may underreact to muni issuance — a 20–30bp rise in muni/Treasury spreads would create a buying opportunity in high-grade MUB exposure. Beware of overpaying for CBD office recovery (SLG); congestion relief from pricing can be reversed by policy changes, so short-duration positions around policy catalysts are preferable.

Key Decisions for Investors

• Establish a 1.5–2.0% long position in Jacobs Engineering Group (J) within 2–8 weeks to capture expected municipal and emergency-repair contract flow; target a 6–18 month hold and take profits if stock rises >30% or backlog wins are fully priced.
• Add a 1.0–1.5% long position in Vulcan Materials (VMC) or Martin Marietta (MLM) to gain materials exposure; increase allocation if aggregate/asphalt spot prices rise >10% month-over-month or municipal bidding activity accelerates.
• Initiate a pair trade: long 2% J / short 1% J.B. Hunt (JBHT) to exploit contractor pricing power vs carrier margin pressure over 3–12 months; hedge if JBHT outperforms by >15% relative to J.
• Buy a 6–9 month TRMB call spread (15–25% OTM) sized ~1.5% of portfolio to play AI/edge deployments in traffic management; close at 50% of max gain or 40% time decay remaining.
• If 10-year muni yields widen >20 basis points versus Treasuries in the next 60 days, deploy 1–2% to high-grade muni exposure (e.g., MUB) to capture dislocated entry; exit on spread compression back to prior 20bp levels.