Let me start with a number that should stop every policymaker, driver, passenger, platform executive, vehicle owner, and digital-economy investor in Kenya in their tracks:

KSh500.

That is one of the figures reportedly under discussion as Kenya considers introducing minimum fare protections for ride-hailing drivers.

For context, the current minimum fare in some of the country’s mass-market ride-hailing categories is closer to KSh220. Moving from KSh220 to KSh500 would represent an increase of approximately 127 per cent.

That is not a routine fare adjustment.

It is not a small inflationary correction.

It is a major intervention in one of Kenya’s most important digital marketplaces.

To be clear, no final KSh500 minimum fare has been formally gazette, yet. The figure should therefore be treated as a scenario under discussion rather than the final government policy. The eventual framework may be lower, phased, differentiated by vehicle category, or calculated using a more sophisticated formula.

But the number is still useful because it forces Kenya to confront the real question at the centre of this debate:

How do we improve the livelihoods of ride-hailing drivers without pricing passengers out of the market that provides those livelihoods?

That is the challenge.

Therefore, it is much more complicated than simply increasing the amount displayed on the passenger’s screen.

The Problem Kenya’s Government Is Trying To Solve Is Real

Before examining what could go wrong, it is important to acknowledge what is already wrong.

Kenya’s ride-hailing drivers are under genuine economic pressure.

Fuel prices have increased sharply during the last few months. Vehicle financing has become more expensive. Insurance, maintenance, tyres, lubricants, spare parts, parking, car washing, and mobile data all consume a significant share of their daily earnings.

Traffic congestion adds another invisible cost. A driver may spend hours online but complete relatively few trips because significant portions of the day are spent waiting, repositioning, driving towards a pickup point, or sitting in traffic without a paying passenger.

Drivers who do not own their vehicles face an additional burden: daily or weekly rent payable to vehicle owners and fleet operators, regardless of whether the driver has had a good day or a bad one. Think about that for a second, or two, to realize how daunting this must be for the affected parties.

These are real problems.

The government is therefore right to be concerned about driver welfare. The Ministry of Transport is also right to examine whether Kenya’s existing pricing model produces sustainable returns for the people doing the work.

The question is not whether Kenya should regulate this market.

It should.

The question is whether a blunt minimum fare is the most effective instrument for addressing the problem.

Because a well-intentioned intervention can still produce damaging results if it targets the wrong part of the economic system.

Ride-Hailing Is A Marketplace, Not Just A Taxi Fare

Much of the public conversation has been packaged as a dispute between drivers and platforms.

Drivers argue that fares are too low and operating costs are too high. Platforms argue that prices must remain affordable enough to sustain demand.

Both positions contain some truth.

But this isn’t the complete picture because ride-hailing is not a two-player contest between a driver and a mobile app.

It is a marketplace.

At the most basic level, it has three essential participants:

· The driver, who supplies the ride.

· The passenger, who creates the demand.

· The platform or mobile app, which matches the two and provides the technology, payments, pricing, safety, support, and accountability infrastructure.

Around them sits a much larger economic system: vehicle owners, fleet managers, banks, SACCOs, insurers, mechanics, fuel stations, mobile-money providers, regulators, tax authorities, and thousands of businesses that rely on predictable urban mobility.

If one part of that system weakens, the impact does not remain contained.

It travels through the market.

If drivers cannot earn enough, supply deteriorates.

If platforms cannot operate sustainably, investment and service quality decline.

If passengers cannot afford the fare, demand disappears.

The passenger is therefore not a secondary consideration in this debate.

Ultimately, the passenger is the source of the revenue everyone else is trying to divide.

Kenya’s Gig Economy Is Too Important For Regulatory Guesswork

A recent Ipsos assessment of Kenya’s gig economy which I wrote about here a few months ago estimated that the market is now worth slightly more than US$1 billion and supports more than 1.5 million workers across ride-hailing, e-commerce, delivery, freelancing, micro-tasks, and remote work.

Ride-hailing accounts for approximately one-fifth of this activity.

That means this debate is no longer merely about taxis.

It is about employment.

It is about household income.

It is about youth participation in the economy.

It is about how people who cannot access formal jobs create their own pathways to earning a living.

For a significant proportion of workers, platform income is not spare money earned after office hours. It is the main source of rent, food, school fees, loan repayments, and daily household cash flow.

Ride-hailing has also become part of the transport operating system for urban Kenya.

People use it to travel to work, take children to school, attend meetings, get home at night, reach hospitals, connect with public transport, and move safely through parts of the cities and towns where other options may be unreliable.

It occupies a valuable position between private-car ownership and conventional public transport.

It is more expensive than a matatu but usually cheaper and more accessible than a traditional taxi. It offers door-to-door movement without the capital cost of owning a car.

That middle position is the source of its value.

It is also the source of its vulnerability.

If the price moves too far away from the alternatives, passengers will not remain loyal out of sympathy for drivers.

They will change behaviour.

The Passenger Is Already Under Financial Pressure

The proposed intervention is arriving at a difficult moment.

Kenya’s transport costs have been rising rapidly, with transport inflation significantly outpacing the broader rate of inflation in recent months.

This matters because the same economic forces hurting drivers are also hurting passengers.

Drivers are paying more for fuel.

Passengers are paying more for food, rent, electricity, school fees, and transport.

Vehicle owners are facing higher financing and maintenance costs.

Businesses are operating in an environment of constrained consumer spending.

The minimum fare debate is therefore not a contest between one group experiencing hardship and another group enjoying abundance.

Everyone in the system is under pressure.

Consider a passenger who currently budgets KSh500 a week for short ride-hailing trips. If the minimum cost of each journey rises sharply, that person may continue spending KSh500.

But they will complete fewer trips.

The passenger’s budget does not automatically increase because a regulation has changed.

This distinction is critical.

A higher fare does not necessarily create more money in the transport ecosystem.

It may simply divide the same passenger budget across fewer transactions.

The Economics Of A Driver Are More Complicated Than Just Commissions

The public debate often reduces the driver-income problem to one figure: the platform commission.

Kenya’s 2022 Transport Network Company Regulations cap the commission payable to a platform at 18 per cent of total trip earnings.

When the standard 16 per cent VAT charged on that commission is included, the commission-related deduction is equivalent to approximately 20.88 per cent of the gross fare.

That is clearly quite significant.

It is entirely legitimate for regulators and drivers to demand transparency around how commissions are calculated, what services they fund, and whether platforms are complying with the legal cap.

But it is misleading to treat commission as the entire driver-cost problem.

A driver’s economic reality includes several other costs:

· Fuel.

· Vehicle rent or loan repayments.

· Insurance.

· Maintenance.

· Tyres and spare parts.

· Mobile data.

· Licensing and inspection costs.

· Time spent without a passenger.

· Distance travelled to collect a passenger.

· Depreciation of the vehicle.

The relative importance of these costs changes dramatically depending on whether the driver owns or rents the vehicle.

This may be the most important distinction missing from the current debate.

The Owner-Driver & The Rental Driver Are NOT The Same Business

An owner-driver pays for fuel, insurance, maintenance, and the financing or depreciation of the vehicle. Once those obligations are covered, the driver retains the remaining income.

A rental driver faces a different model.

The rental payment is normally fixed. It must be made whether the driver completes twenty trips, ten trips, or no trips.

This makes the rental driver especially sensitive to trip volume.

Industry cost modelling suggests that some owner-driver categories can remain reasonably profitable at current volumes, while rental drivers in equivalent categories may be close to break-even or already operating at a loss.

The reason is not difficult to identify.

Vehicle rent and fuel can consume most of the gross fare before the driver takes anything home.

This is why the relevant measure is not the amount earned from one trip.

It is monthly net income after all costs.

A driver may earn KSh500 from a trip and still be worse off if the higher fare means completing only four trips instead of ten.

That is the economic paradox Kenya must avoid.

The price of an individual ride can rise while the driver’s total income falls.

The Demand-Elasticity Question

Economists use the term price elasticity of demand to describe how consumers respond when a price changes.

The concept sounds technical.

The behaviour is actually quite familiar.

When the price of something rises, people buy less of it, substitute it with something cheaper, or stop buying it altogether.

Ride-hailing is particularly exposed to this behaviour because passengers have alternatives.

They can take a matatu.

They can use a boda boda or tuk-tuk.

They can carpool.

They can negotiate directly with a driver.

They can walk shorter distances.

They can combine several errands into one journey.

They can postpone a trip.

They can work remotely.

Or, they can decide that the journey is no longer worth making.

An illustrative elasticity assumption of minus 0.75 has been used in industry modelling of the proposed fare change. Applied mechanically, this would suggest that a 50 per cent fare increase could produce a demand reduction of roughly 37.5 per cent.

An 80 per cent increase could produce a reduction of around 60 per cent.

Applying the same number to a 127 per cent increase produces an extreme result approaching a 95 per cent reduction.

Let me be clear: this should not be treated as a precise forecast.

Elasticity is not necessarily constant across a price movement of that magnitude. Consumer behaviour differs by city, trip length, income group, time of day, vehicle category, and reason for travel.

A single mathematical assumption cannot perfectly predict how millions of passengers will behave.

But it is a useful stress test.

Even if the eventual demand response were only half as severe, it would still massively alter the economics of the market.

Therefore, the central insight remains valid:

A significant increase in fares will reduce the number of rides passengers take.

The debate should therefore focus not only on how much more a driver earns per trip, but also on how many trips remain after the price changes.

The Short-Term Uplift May Be An Illusion

A sharp fare increase could appear successful during its first few weeks.

Passengers do not change established habits immediately.

People who regularly use ride-hailing may continue booking the same journeys for a while. Drivers may receive more revenue from each completed trip. Daily gross earnings may initially improve.

The intervention may therefore appear to have achieved its objective.

Drivers celebrate.

Policymakers point to improved per-trip earnings.

Platforms record a temporary increase in average transaction value.

But this may be price stickiness rather than a sustainable equilibrium.

Over time, passengers notice that their transport budgets are being exhausted earlier.

They begin to adjust.

A Comfort passenger moves to Economy.

An Economy passenger moves to a boda boda.

A regular user becomes an occasional user.

A short trip becomes a walk.

A digitally booked journey becomes a direct cash arrangement with a driver.

The first phase is the illusion of uplift.

The second is the demand cliff.

As trip volumes decline, drivers remain online longer waiting for fewer passengers. Idle time rises. Fuel may still be consumed while repositioning. Rental and loan obligations remain fixed.

The driver earns more when a trip happens.

But trips happen less frequently.

This is how a policy designed to increase driver earnings could actually reduce them.

One Minimum Fare For Which Ride?

There is another unanswered question.

What exactly would the minimum fare apply to?

A standard car?

An economy vehicle?

A premium vehicle?

An XL vehicle?

A tuk-tuk?

A boda boda?

A short trip?

A long trip?

A peak-hour trip?

An off-peak trip?

A corporate journey?

A scheduled airport transfer?

These are not interchangeable services.

They have different operating costs, passenger profiles, vehicle economics, and competitive alternatives.

A minimum fare that makes sense for a car may be absurd for a boda boda. A minimum that works in Nairobi may be unaffordable in a smaller town. A minimum appropriate for peak traffic may distort pricing during low-demand periods.

The Ministry of Transport has already indicated that its broader taxi-policy review will consider boda bodas, tuk-tuks, and electric bicycles alongside conventional and app-based taxis.

That is encouraging.

But it also illustrates why a single politically attractive figure is unlikely to be an adequate solution.

Kenya does not need one number.

It needs a methodology.

Tanzania’s Experience Should Be Read Carefully

Kenya has a relevant case study next door.

In 2022, Tanzania introduced a regulated ride-hailing tariff framework that included a minimum fare, fixed distance and time rates, the removal of booking fees, and a commission cap of 15 per cent.

The stated objective was similar: improve fairness for drivers and keep transport affordable.

But the commercial framework proved difficult for platforms to sustain.

One of the largest ride-hailing operators suspended its Tanzanian operations shortly afterwards. Other operators reconsidered or reduced parts of their services.

The regulator later amended the framework, allowing commissions of up to 25 per cent and reinstating booking fees of up to three per cent.

The lesson is not that Tanzania should never have regulated ride-hailing.

Nor is it that platforms should be permitted to set whatever prices or commissions they want.

The lesson is about sequencing and calibration.

When the regulator constrained both the fare structure and the platform’s commercial margin at the same time, the market lost the flexibility required to respond.

When platform economics deteriorated, passengers lost options.

When passenger volumes declined, drivers lost trips.

The regulation intended to improve driver income could not manufacture passenger demand.

Kenya should learn from this experience.

A regulation can be described as driver-friendly and still produce driver-hostile results.

The Hidden Public Goods Inside The Application

There is a further dimension that is frequently overlooked.

A ride-hailing application is not only a booking interface.

It is also a formalization layer.

The trip is digitally recorded.

The passenger sees an estimated price.

The vehicle and driver are identifiable.

The journey can be GPS-tracked.

A receipt is generated.

Payment can be digital.

Both parties can be rated.

Insurance and licensing requirements can be monitored.

Complaints can be investigated.

The existing Kenyan regulations require platforms to provide information to NTSA, maintain vehicle and insurance compliance, respond to complaints, report serious accidents, and provide panic buttons connected to continuously staffed response centres.

These are public-interest functions.

They do not eliminate crime, misconduct, unsafe driving, or disputes. No platform can make that claim.

But they create accountability mechanisms that do not exist in an informal cash journey.

If a steep fare floor pushes passengers and drivers into off-platform arrangements, the trip may still happen.

It simply disappears from the formal system.

No digital receipt.

No GPS trail available through the platform.

No rating.

No platform-supported emergency response.

Less consumer protection.

Less tax visibility.

Less regulatory data.

This is another example of the difference between the first-order and second-order effects of policy.

The first-order effect is a higher fare.

The second-order effect may be greater informality.

Government Revenue Moves With Market Activity

Formal digital transactions create a tax trail.

Ride-hailing platforms and the surrounding ecosystem generate VAT, corporate taxes, driver income, vehicle financing activity, insurance premiums, fuel purchases, and mobile-payment transactions.

When the formal market expands, government gains visibility.

When activity moves into unrecorded cash transactions, that visibility weakens.

The relevant fiscal question is therefore not simply whether a higher fare generates more tax from each completed trip.

It is whether enough trips continue to take place within the formal digital system.

A higher tax yield per transaction is of limited value if the number of transactions falls sharply.

This is the same policy paradox seen elsewhere in Africa’s digital economy.

When governments raise the cost of using formal digital infrastructure beyond the value users believe they receive, people do not necessarily pay indefinitely.

They adapt.

They move to cash.

They use the service less.

They seek informal alternatives.

The formal economy becomes smaller, even when the policy was intended to extract more value from it.

This Is Also A Signal To Digital Investors

Kenya is one of Africa’s most important digital markets.

Its reputation rests on more than mobile money adoption and smartphone penetration. It also rests on the perception that innovative companies can enter the market, invest, operate under clear rules, and engage constructively with regulators.

Ride-hailing is therefore a test case.

Investors in fintech, logistics, e-commerce, digital labour, insurance, and mobility will watch how Kenya handles this debate.

They will not object to regulation merely because it exists.

Serious investors expect regulation.

What concerns capital is unpredictability: sudden interventions, unclear methodologies, overlapping controls, or rules that make an operating model commercially unviable without a credible transition period.

Kenya should protect workers.

But it should also avoid sending the message that platform markets will be regulated through isolated price directives rather than transparent economic analysis.

The two objectives are not mutually exclusive.

A well-designed framework can protect workers and preserve investment.

What Smarter Regulation Could Look Like

The government’s objective is legitimate.

Driver livelihoods need improvement.

But a flat fare floor should be one option within a broader policy package, not the entire strategy.

Publish The Model

Before a fare is gazetted, the government should publish the assumptions behind it.

What operating costs were included?

What vehicle categories were analysed?

What level of daily utilisation was assumed?

What passenger-demand response was modelled?

How was the difference between owner-drivers and rental drivers treated?

Public policy is stronger when stakeholders can examine the evidence rather than debate an unexplained final number.

Measure Passenger Willingness To Pay

The passenger side needs independent research.

What increase can frequent users absorb?

At what price do they reduce usage?

Which categories are most sensitive?

Which journeys are essential and which are discretionary?

Without this data, the government risks solving the supply-side problem by creating a demand-side crisis.

Regulate Earnings, Not Just Fares

New York City offers an instructive alternative.

Rather than relying exclusively on a flat passenger fare, its driver-pay framework calculates minimum driver payments using trip distance, time, vehicle expenses, and the platform’s utilisation rate.

Utilization matters because it captures the time a driver spends available for work but without a passenger.

The model is not directly transferable to Kenya. New York has different incomes, transport systems, vehicle costs, and market structures.

But the principle is powerful.

The objective should be a sustainable minimum level of driver earnings after costs and idle time, not simply a higher sticker price for every passenger.

Differentiate By Category

Cars, boda bodas, tuk-tuks, premium vehicles, and larger vehicles require different treatment.

The fare structure should reflect actual operating costs and consumer use cases.

A universal minimum risks creating unnecessary distortions and pushing demand towards whichever category is exempt or cheapest.

Address Vehicle Rent & Financing

If vehicle rent and loan payments are among the largest causes of driver distress, policy should address them directly.

Government, banks, SACCOs, insurers, fleet operators, and platforms could explore:

· More affordable asset financing.

· Restructuring mechanisms during fuel-price shocks.

· Transparent rental agreements.

· Pooled insurance products.

· Maintenance partnerships.

· Fuel-discount arrangements.

· Incentives for electric mobility where the economics are viable.

These interventions improve driver net income without requiring the passenger to absorb the full burden.

Enforce Existing Rules

Kenya already has an 18 per cent commission cap.

Before introducing another major price control, NTSA should ensure the existing framework is consistently enforced and transparently reported.

Platforms should be required to show drivers the fare, commission, tax treatment, incentives, and final earnings clearly.

Driver trust requires visibility.

Implement Gradually & Review Quickly

Any fare adjustment should be phased.

The regulator should track:

· Completed trips.

· Passenger retention.

· Driver net earnings.

· Driver utilisation.

· Waiting times.

· Cancellations.

· Category migration.

· Off-platform activity.

· Safety complaints.

· Taxable platform activity.

The regulation should include predetermined review triggers.

If trip volumes, earnings, or formal-market activity deteriorate beyond an agreed threshold, the framework should be adjusted quickly.

Kenya should not wait two years to discover that a policy produced the opposite of its intended result.

The Real Question

The minimum fare debate is often presented as a moral choice.

Either support drivers or support platforms.

Either raise fares or accept exploitation.

Either regulate or allow a free-for-all.

This is far too simplistic.

Drivers deserve fair and sustainable earnings.

Passengers deserve affordable and safe mobility.

Platforms should comply with the law, operate transparently, and contribute fairly to the markets from which they earn revenue.

Vehicle owners and financiers must also operate within structures that do not transfer unsustainable risk to drivers.

Government must protect livelihoods while maintaining competition, formalisation, safety, innovation, and tax visibility.

These are not competing goals.

They are the components of a functioning market.

Final Thoughts & The Road Ahead

Kenya’s ride-hailing sector has reached an important regulatory moment.

The government is right to intervene.

Drivers cannot continue absorbing rising fuel, rent, financing, maintenance, and insurance costs without a serious policy response.

But the evidence also points to a clear warning.

A blunt fare floor, introduced too quickly and set too high, may deliver a short-lived increase in revenue per trip while destroying the volume drivers need to earn a living.

It may move passengers to cheaper categories.

Then to public transport.

Then to informal cash arrangements.

It may increase idle time, vehicle-financing defaults, and driver frustration.

It may reduce safety visibility, tax transparency, platform investment, and consumer choice.

This would not be a victory for passengers.

It would not be a victory for platforms.

Most importantly, it would not be a victory for drivers.

The question is not whether Kenya can introduce a minimum ride-hailing fare.

It can.

The question is whether a minimum fare is the most effective way to deliver sustainable minimum earnings.

That is a very different question.

It deserves a much more sophisticated answer than one number.

The objective should not be to make each individual ride more expensive.

It should be to make the entire mobility ecosystem more sustainable.

For the driver.

For the passenger.

For the vehicle owner.

For the platform.

For the government.

Ultimately, for Kenya’s digital economy.