Evidence · Fleet trials

ALSOK (Kanagawa) — Japan

14 security transport vehicles operated by ALSOK in Kanagawa were measured in two different ways, and the two ways do not agree. The 11 vehicles compared against the same period a year earlier give a median of +8.8%, spread from +4.3% to +20.2%. The 3 measured directly before and after treatment give +50.3%, +30.2%, +21.6% — every one of them above the highest year-on-year result. Read the method column before the result column.

Operator record from the master dataset Security transport fleet

One operator, one fleet, two measurement methods — and a gap between them that is larger than the effect either method is trying to measure.

+8.8%Median of the 11 year-on-year measurements
+21.6% … +50.3%The 3 before-and-after measurements
14 of 14Vehicles recorded above their baseline
-35 g/kmMedian calculated CO₂ change per kilometre
ALSOK (Kanagawa) trial — at a glance
OperatorALSOK — recorded as 警送神奈川 (Kanagawa security transport) and 川崎支社 (Kawasaki branch)
Vehicles14 — Nissan Caravan, Isuzu Elf, Isuzu Como, Succeed
FuelPetrol (12 vehicles), diesel (1)
Method A前年比較 — comparison with the same period a year earlier (11 vehicles)
Method B施工前後比較 — direct before-and-after comparison (3 vehicles)
Result, method AMedian +8.8%, range +4.3% to +20.2%
Result, method B+50.3%, +30.2%, +21.6%
Measurement periodNot recorded in the dataset
The result

Every measurement, not just the best one

ALSOK (Kanagawa) — All 14 ALSOK vehicles, grouped by measurement method. Fuel efficiency, higher is better.
VehicleFuelBeforeAfterChange
Nissan Caravan (1)Gasoline6.357.63+20.2%
Nissan Caravan (2)Gasoline6.837.65+12.0%
Nissan Caravan (3)Gasoline7.017.31+4.3%
Nissan Caravan (4)Gasoline7.057.49+6.2%
Nissan Caravan (5)Gasoline6.767.13+5.5%
Nissan Caravan (6)Gasoline6.787.38+8.8%
Nissan Caravan (7)Gasoline6.077.04+16.0%
Nissan Caravan (8)Gasoline6.587.29+10.8%
Nissan Caravan (9)Gasoline6.536.98+6.9%
Nissan Caravan (10)Gasoline6.727.58+12.8%
Nissan Caravan (11)Gasoline7.347.70+4.9%
Isuzu ElfDiesel5.277.92+50.3%
Isuzu ComoGasoline4.946.43+30.2%
Succeed · Kawasaki branchGasoline6.958.45+21.6%
Median across all 14 measurements+11.4%
Every ALSOK measurement, grouped by how it was compared Dot plot of fourteen vehicles in two groups. The eleven measured against the same period a year earlier spread from 4.3 to 20.2 per cent. The three measured directly before and after treatment sit at 21.6, 30.2 and 50.3 per cent — all above the highest year-on-year result. Improvement in fuel efficiency (km/L) per vehicle — grouped by comparison method 0% 13.75% 27.5% 41.25% 55% Year-on-year (前年比較) — 11 vehicles Nissan Caravan 3 4.3% Nissan Caravan 11 4.9% Nissan Caravan 5 5.5% Nissan Caravan 4 6.2% Nissan Caravan 9 6.9% Nissan Caravan 6 8.8% Nissan Caravan 8 10.8% Nissan Caravan 2 12.0% Nissan Caravan 10 12.8% Nissan Caravan 7 16.0% Nissan Caravan 1 20.2% Before/after, no seasonal control (施工前後比較) — 3 vehicles Succeed · Kawasaki 21.6% Isuzu Como 30.2% Isuzu Elf 50.3%
Grey marks the group with no seasonal control. Every grey point lies above every green one, on vehicles from the same operator and the same fleet. That gap is a property of the comparison method, not of the product — which is why we quote the year-on-year median and treat the other three as unusable.
ALSOK (Kanagawa) — how it was measured

Method before result

The 11 Nissan Caravan vans were compared against the same operating period a year earlier — the method the dataset records as 前年比較. Comparing like calendar periods removes most of the seasonal variation that makes a straight before-and-after fuel comparison hard to read, which makes these the more trustworthy figures of the two groups.

The remaining 3 vehicles — an Isuzu Elf, an Isuzu Como and a Succeed at the Kawasaki branch — were recorded as 施工前後比較, a direct before-and-after comparison with no seasonal control at all. Those three produced +50.3%, +30.2%, +21.6%.

That split is the finding worth taking away from this operator. Every single before-and-after measurement lands above the highest of the eleven year-on-year measurements (+20.2%). The vehicles are from the same fleet and the same operator; what changes is how the comparison was drawn.

Every percentage on this page was recalculated by us from the recorded before-and-after figures rather than taken from the summary column of the source; all of them reproduce the recorded value. That is a check on transcription, not on the measurement itself — it confirms the arithmetic is right, not that the reading was.

How we measure, and what makes a fuel trial credible →

ALSOK (Kanagawa) — what this result does not prove

The limits of this trial

We publish these next to the result rather than in a footnote. If a limitation would change how you read the number, you should read it at the same time as the number.

Known limitations

  • The 3 before-and-after measurements have no seasonal or operational control whatsoever. We publish them because they are in the dataset, but we do not treat +50.3% on a single Isuzu Elf as a result.
  • The two branches are recorded separately in the source (警送神奈川 and 川崎支社) and are combined on this page as one operator. If they should be read as separate fleets, the Kawasaki figure is a single vehicle.
  • What "the same period a year earlier" covers is not documented — neither the months, nor the distance driven, nor whether the routes were unchanged.
  • A separate ALSOK Vietnam record (2 vehicles, Ho Chi Minh City) sits in a different, undocumented part of the dataset. It is deliberately not merged into these figures.
  • This is a dataset entry, not a trial report. What we hold is the before-and-after fuel-efficiency figure per vehicle as recorded in the master test dataset — not the operator’s raw fuel logs, not the odometer readings behind them, and not a written test protocol.
  • There is no control group. No comparable untreated vehicle was tracked over the same period, so seasonal, route and traffic effects cannot be separated from the treatment.
  • The measurement dates and the length of each measurement period are not recorded in these entries. We therefore cannot say how far each vehicle ran between the two readings, or which months the comparison covers.
  • The figures were recorded by the operator or by the local distributor, not by an independent party, and we cannot re-derive them from primary records.
ALSOK (Kanagawa) — what it means

Reading this evidence in context

For an operator, this is the most useful page in the section, because it is a controlled illustration of an uncontrolled problem: the same product on the same fleet produces a median of +8.8% or a set of results up to +50.3% depending only on how the comparison is drawn.

Our reading is that the +8.8% median is the number to plan with and the before-and-after figures are the number to distrust — including, and especially, when they favour us.

It is also why we design pilots around a control group rather than a before-and-after snapshot. The methodology page sets out what that looks like in practice.

ALSOK (Kanagawa) — FAQ

Questions operators ask about this trial

Which of the two figures should we believe?
The year-on-year one. Comparing a period against the same period a year earlier controls for season, weather and traffic pattern, which a plain before-and-after comparison does not. That gives a median of +8.8% across 11 vehicles. The three before-and-after results run from +21.6% to +50.3%, and we regard the gap between the two groups as a property of the method rather than of the product.
Why publish the +50.3% figure at all if you do not stand behind it?
Because it is in our dataset, and a supplier who quietly drops the measurements that do not survive scrutiny has told you nothing about the rest. We publish every measurement we hold for this operator and label which method produced it, so you can weight them yourself.
Was the driver aware of the treatment?
Not recorded. Blinding is documented for the Waste Services trial and for no other dataset in our records, including this one. Where we do not know, we say so rather than assume the favourable answer.
Does this dataset support a fleet-wide figure for security transport?
It supports a direction across 14 vehicles in one operator’s fleet, measured without a control group. It does not establish a figure you can apply to another security transport fleet — that is what a pilot on your own vehicles is for.
ALSOK (Kanagawa) — where this data comes from

Provenance

Source
Eco-Spray / NanoEFX master test dataset, compiled 22 March 2020 — operator-named section
Recalculation
All percentages recomputed from the recorded before-and-after figures
Raw records
Held by the operator or the local distributor — not in our possession
Operator entries
警送神奈川 (13 vehicles) and 川崎支社 (1 vehicle)
Method as recorded
前年比較 (year-on-year) and 施工前後比較 (before/after)
Name release
Operator naming approved by ECO EFX Solutions, 15 August 2026
Last checked
15 August 2026
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