From Trip Data to the Energy Requirements of Personal Vehicle Travel

Trancik, Jessika · 2018 · ROSA P / New England University Transportation Center

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Summary

This research addresses the challenge of reducing greenhouse gas (GHG) emissions from light-duty vehicles (LDVs), which account for approximately two-thirds of U.S. transportation emissions. The study aims to compare the cost-effectiveness and energy efficiency of various powertrain technologies—internal combustion engine vehicles (ICEVs), hybrid electric vehicles (HEVs), plug-in hybrid electric vehicles (PHEVs), battery electric vehicles (BEVs), and fuel cell vehicles (FCVs)—against realistic travel behaviors and climate goals. The motivation stems from the need to understand the technological and behavioral changes required to meet climate targets, as well as to address barriers to EV adoption such as range anxiety and upfront costs. The researchers developed two primary models. First, a parameterized lifecycle emissions and cost model estimates GHG emissions (gCO₂eq/km) and ownership costs ($/km) for over 20,000 vehicle model-trim combinations sold in the U.S. between 2000 and 2018. This model integrates data from the Argonne National Laboratory’s GREET model, EPA fuel economy data, and sales data, accounting for vehicle production, fuel production, and combustion. Second, the TripEnergy model combines travel survey data, GPS speed profiles, and local climate data to calculate detailed, stochastic energy consumption distributions for specific locations and vehicle models. This approach captures variability in driving behavior and auxiliary energy use, rather than relying on average per-mile values. Key findings indicate that alternative powertrain technologies generally offer lower lifecycle emissions and comparable or lower costs than ICEVs. For instance, the Nissan Leaf was found to cost 20% less than the average 2014 ICEV while emitting half the GHGs. BEVs exhibited the lowest emissions among alternatives, followed by PHEVs and HEVs. While several vehicles met the 2030 GHG intensity target, none met the more stringent 2040 and 2050 targets, implying that consumer shifts toward low-emission vehicles must occur well before 2030. Regarding range, the study found that a 2013 Nissan Leaf could cover 87% of vehicle-days without mid-day recharging. However, a small fraction of high-energy travel days remains difficult to cover even with improved battery technology, suggesting a need for mid-day charging infrastructure or shared vehicle services. Regional analysis revealed that emissions and cost savings vary significantly by location, driven by electricity mix, driving patterns, and climate. The significance of this work lies in its demonstration that vehicle decarbonization can be achieved at little to no additional cost to consumers, challenging the perception that EVs are prohibitively expensive. The study highlights the importance of location-specific factors in determining EV viability and suggests that informational tools, such as the developed website Carboncounter, can influence consumer purchasing decisions. Furthermore, the findings imply that achieving mass electrification requires not only battery improvements but also strategic investments in workplace charging infrastructure to manage grid demand and align with renewable energy availability.

Key finding

A 2013 Nissan Leaf with a 19.2 kWh battery can replace 87% of vehicles on the road on a given day without requiring mid-day recharging.

Methodology

modeling

Sample size: 20000

Provenance

The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed. Discovered via bulk_ingest_rosap on 2026-05-23 (6 acquisition events logged).

Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.

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