Run vs Hike

Abstract

We tested whether running or hiking is more efficient on a sustained, lumpy 20% gradient climb (~380m horizontal, ~75m vertical), comparing an elite trail runner (Vlad, 47) and an amateur runner (Chris, 35). Each athlete completed six reps in a single session: one control rep at natural strategy, two run reps, two hike reps, and one bonus rep with poles. Time, heart rate, cadence, and RPE were recorded per rep. Heart rate was blinded during efforts. Both athletes wore matched footwear (Asics Metafuji).

Three findings stood out. First, for the amateur, running each climb saved ~80 seconds vs hiking but cost roughly 2 minutes per run rep above estimated lactate threshold, with peaks reaching 187 bpm (within 3 of his typical max). Hiking kept him below threshold throughout. Second, both athletes naturally mixed running and hiking on the lumpy gradient; the decision logic was shared, but the run-to-hike ratio reflected available cardiac headroom. Third, the elite operated in a fundamentally different cardiac system. Vlad’s max HR across the session was 164 bpm; he never crossed his estimated lactate threshold on any rep, including his hardest run rep at race effort. The amateur was at threshold for minutes per rep; the elite never reached it once.

The decision rule for amateurs is race-length dependent. For races where total time on climbs stays under 30 minutes (roughly a 20 to 30km trail race), running steep pitches is the better trade because the cumulative cost stays manageable over the race. For races over three hours of cumulative climbing (roughly 100km+ ultras), the metabolic cost of running steep grades likely outweighs the time saved, and strategic hiking becomes the faster overall strategy. Poles produced a major drop in subjective effort for the amateur even at maximum session fatigue (RPE 6 vs 9 to 10 for running) while marginally improving hiking time.

Practical implication for amateurs: comparing yourself to elite paces on steep climbs is comparing across very different physiology. Strategic hiking is the amateur’s main lever for keeping cumulative cost manageable. And in 100-mile and extremely mountainous race fields, elites also hike strategically to keep effort controlled.

Methods

Hill profile. Sustained, lumpy climb. Measured ~380m horizontal, ~75m vertical (~20% average gradient), with no flat recovery sections. Steep pulses approaching 25-30% interspersed with sustained 15-18% climbing.

Protocol. 6 reps in a single session, with ~64 minutes elapsed between the start of rep 1 and the end of rep 6 (additional activity-track time was warm-up and b-roll filming). Recovery between reps was a jog or walk back down the hill (3-8 minutes per recovery, lengthening as fatigue accumulated). Order H-R-H-R for both athletes. Run reps were instructed at race effort. Familiarisation with the climb on rep 1 typically meant rep 2 was pushed harder, so we treat rep 2 as the race-effort reference rep in the analysis. RPE called at the top of each rep on the modified Borg 1 to 10 scale.

Measurements. Coros wrist watches with HR arm strap. Per rep: elapsed time, continuous HR trace, cadence, GPS pace per 100m vertical, RPE. HR and pace data were blinded on the watch face during each rep so effort was judged on feel only.

Footwear. Both athletes wore Asics Metafuji shoes (not sponsored, purchased independently by each athlete). Matched footwear removes shoe effects from the elite-vs-amateur comparison, but worth noting the Metafuji is a carbon-plated trail running shoe optimised for running, which may slightly bias the hiking condition.

Limitations. Order was H-R-H-R for both athletes rather than counterbalanced, so both run reps followed a partial-recovery hike. Run rep 2 was actually faster than run rep 1, which we attribute to familiarisation, but a skeptical reading is that familiarisation effects could be partially masking accumulated fatigue cost. We can’t fully separate the two from this single-session design. HR data on Vlad’s bonus rep was invalid (likely strap dropout). Vlad ran the bonus rep rather than hiking, so the poles comparison is mode-asymmetric. Per-rep watch readings differed slightly between athletes (76m vs 73m) due to GPS altitude noise. Comparisons are normalised to a shared vertical (~75m). Threshold estimates (Chris ~172-175 bpm; Vlad ~165 bpm) are anchored to the standard 88-92% of max HR relationship for trained athletes, with Vlad’s also corroborated by his 167 bpm marathon average sitting at or just below threshold for elite marathon pace. Both are estimates, not lab-measured.

Per-Rep Data

Vertical Pace

Per vertical metre, normalised to ~75m for both athletes:

Hiking pace was identical. Both finished hike 1 in 4:34 exactly and hike 2 within one second of each other (Chris 4:57, Vlad 4:58). On power hiking, the elite-amateur gap was zero.

Running pace showed a moderate elite advantage. ~6% on means, ~10% at race effort (run rep 2). Real, but smaller than absolute time differences suggested at first glance, since the absolute time gap was partly an artefact of slightly different watch readings. With shared vertical normalisation, the elite running advantage is contained.

Run rep 2 represents race-effort. Both athletes ran faster on the second run rep, consistent with familiarisation effects from rep 1. Chris went 3:28 to 3:20 (8s faster) at +1 bpm. Vlad went 3:22 to 3:01 (21s faster) at +10 bpm. At race effort, Vlad’s per-vertical-metre pace (2.41 s/m) was 10% faster than Chris’s (2.67 s/m).

Heart Rate and Physiological Cost

Estimated relative intensity, anchored to each athlete’s typical max HR from recent hard efforts (Chris ~190; Vlad ~180, observed in the kick of a recent 2:33 marathon).

Chris’s running mean of 169.5 bpm placed him in high tempo territory, just below his estimated lactate threshold (~172-175 bpm). Run rep peaks reached 183 (Run 1) and 187 (Run 2), and the GPX trace shows him spending 115 seconds above 175 bpm on Run 1 and 144 seconds above 175 on Run 2 (using the upper end of his estimated threshold range, so these are conservative counts). Hiking kept him below threshold throughout, peaking at 168 (Hike 1) and 167 (Hike 2). By contrast, Vlad’s running mean of 142 bpm sat well below his recent marathon effort (167 bpm average over a 2:33 marathon, kick reaching 180). His max HR across the session was 164 bpm, and he never crossed his estimated lactate threshold (~165 bpm) on any rep. The intensity gap is much bigger than the bpm averages alone suggest.

Time at or above threshold across the session, side by side:

Hiking moves the amateur down to tempo. Chris’s hiking HR of 158 still represents working aerobic intensity but well below threshold. Sustainably hard rather than easy.

Hiking moves the elite into easy aerobic. Vlad’s hiking HR of 118 is around 66% of his max. Easily sustainable for hours.

Caveat on the absolute max gap. The 23-28 bpm cardiac gap between athletes is partly explained by their different max HR ceilings. Chris’s likely max sits around 190; Vlad’s around 180. That’s a 10 bpm gap on absolute max alone, leaving ~13-18 bpm of the cross-mode HR gap attributable to training and economy. Worth noting that Vlad is 12 years older, so his lower max despite being an elite is roughly age-expected. His economy advantage holds despite the age gap.

Peak HR per rep. Chris: 171 (control), 166 (hike 1), 182 (run 1), 167 (hike 2), 187 (run 2), 175 (poles). Vlad: 148 (control), 134 (hike 1), 152 (run 1), 129 (hike 2), 164 (run 2), unreliable (poles, strap dropouts). Three observations. First, Chris’s run rep 2 peak of 187 sat within 3 bpm of his typical max (~190); on Run 2 he was effectively redlining at the top. Run 1 peaked at 183, hard tempo but a few bpm below max. Vlad’s run rep 2 peak of 164 sat 16+ bpm below his typical max (~180); on the same climb at the same effort, Chris was at his ceiling while Vlad still had substantial headroom. Second, the peak-to-average spread is wider on running reps (~13-17 bpm) than hiking reps (~8-9 bpm) for both athletes, consistent with running being a ramp effort that peaks at the top of the climb while hiking is steadier throughout. Third, Chris’s bonus poles rep peaked at 175 bpm, sitting cleanly between his no-poles hike peaks (166-167) and run peaks (182-187), confirming that poles let him push harder than no-poles hiking but not to running intensity. Vlad’s poles rep had unreliable HR data (multiple strap dropouts) so we cannot comment on his cardiac response there.

Perceived Effort

Both athletes rated each rep identically on the modified Borg 1-10 scale: control 7, hike 1 6, run 1 9, hike 2 7, run 2 10. Vlad’s bonus poles rep RPE was unrecorded (presumed high since he ran with poles).

Chris’s bonus poles rep was rated RPE 6, tied with hike 1 (the freshest rep of the day) despite being the most fatigued state. Subjectively, poles dropped the effort of hiking back to fresh-legs levels even at session-end fatigue. Burn shifted from legs to upper body.

Natural Strategy on Lumpy Terrain

Both athletes naturally mixed running and hiking in the control rep. The lumpy gradient with steep pulses encouraged this: the steepest sections demanded hiking, the more moderate sections allowed running.

• Vlad’s control: ~70% running, ~30% hiking (estimated from cadence and HR averages). Time 3:27, HR 130.
• Chris’s control: estimated ~60% running, ~40% hiking (from time and HR interpolation against his pure-run and pure-hike means). Time 3:55, HR 160.

Both athletes responded to the steep pulses the same way (by hiking them). The difference was the ratio: how much running each could afford. The decision logic was shared. The cardiac headroom was not.

Poles Findings

Chris’s hike-with-poles rep was 22 to 33 seconds faster than his no-poles hikes (4:24 vs 4:34, 4:57) at higher HR (166 vs 158) and dramatically lower RPE (6 vs 6 to 7). Poles let him push harder, with the harder push translating to faster time and meaningfully lower subjective leg burn.

Vlad’s poles rep was a different mode entirely (running with poles, cadence 183), so the data answers a different question: for an elite, poles in hand on this gradient mean running becomes the dominant strategy. Vlad’s run-with-poles time (3:10) sat between his two no-poles run reps (3:22, 3:01), at running cadence. HR data on Vlad’s bonus rep was unreliable and is excluded.

When to Run, When to Hike

The experiment data, combined with established ultramarathon physiology, points to a race-length-dependent answer. For amateurs on a 20% gradient:

Confidence on the principle: high. Anchored in established gradient cost research (Minetti 2002), uphill economy literature (Vernillo et al), and elite trail running practice. Confidence on specific thresholds: medium. Individual variation is large. Treat the gradients above as starting points, not universal rules.

Why the Right Answer Changes by Race Length

Running and hiking the same climb create different trade-offs. Hiking takes longer but at lower intensity, contributing less to compounding fatigue. Running buys you time but the higher intensity has physiological costs: fine for a short race, bad for a long ultra. For races where total climb time stays under 30 minutes (roughly a 20 to 30km trail race), the higher-intensity option wins because time savings compound across multiple climbs and the cumulative cost stays manageable over the race. For races with 3+ hours of cumulative climbing (roughly 100km+ ultras), the higher-intensity option loses. Established ultramarathon physiology suggests above-threshold work compounds multiple costs across the day: accelerated glycogen draw, more muscle damage from harder efforts, slower recovery between hard sections. None of these clear fully during a long race, and the deficit catches up in the back half.

This is the same principle as why elite road marathoners run at a pace they could not sustain for a 50km race. Race length determines which intensity zone you can afford.

Poles for Amateurs in Long Events

Chris’s bonus rep was the most fatigued state of the day (recovery HR before it was 147 bpm, 23 bpm above his post-control baseline). His RPE for the rep was 6, tied with his freshest hike of the day. Poles produced:

• 5 to 15% faster hiking time per vertical metre (3.52 s/m vs 3.81 s/m no-poles).
• Higher HR (166 vs 158), suggesting poles let him push harder rather than reducing the same effort.
• Subjectively major leg-burn reduction, with effort displaced to upper body.

The mechanism is well-understood: poles offload work from legs to arms, shoulders, and core. For a long race where leg fatigue is the rate-limiter (any race over ~3 to 4 hours of hard hiking and running), shifting load to upper body extends the runnable distance and reduces the depth of muscle damage.

What the Elite-Amateur Contrast Actually Shows

The elite-amateur gap on hiking was zero, and the gap on running was moderate (6 to 10 percent) rather than dramatic. The bigger differences sat below the surface:

1. Cardiac cost. On the same climb that put Chris at threshold for ~2 minutes per run rep, Vlad never reached threshold once across the session. Vlad’s max HR for the day was 164 bpm; Chris hit 187 in a single 3-minute run rep.
2. Available headroom. Vlad’s hardest run rep peaked 16+ bpm below his typical max. Chris’s hardest run rep peaked 3 bpm below his. Same subjective max (both rated RPE 10), completely different physiological systems engaged.
3. Sustainability. Vlad could sustain his run-rep effort for hours across a long race. Chris could sustain his for maybe 30 to 60 minutes before cumulative physiological cost would force his pace to drop.

The amateur takeaway: amateurs comparing themselves to elite paces on steep climbs are working with very different physiology. Strategic hiking moves the amateur from high tempo down to moderate aerobic intensity, much closer to the zone the elite naturally runs in. Hiking is how the amateur buys cardiac headroom they don’t otherwise have.