This morning, I did something that I usually try to do but somehow keep postponing. I got ready on time and decided that I would leave early for office. The plan was simple. If I reached early, I could finish my work on time and leave on time too. No last-minute rushing, no unnecessary waiting and hopefully a slightly less stressful day.

I was ready, I opened Rapido and started looking for an auto.

The fare showing on the screen was around ₹148.

I thought, fine. That is the fare, I will book it and leave. I was not expecting anything complicated. The whole purpose of these cab and auto booking apps is supposed to be convenience. You enter your destination, see the fare, book a ride and get going.

Except that is not always how it works.

I waited.

No captain accepted the ride.

I tried again.

Still nothing.

Another captain appeared for a moment, but the ride was not accepted. I kept waiting while the clock kept moving. The irony was that I had actually prepared myself early because I wanted to save time.

Instead, I was standing there watching my planned travel time disappear.

Then I started thinking about something that many people using these services probably experience regularly but have simply accepted as normal.

Why does a passenger have to keep increasing the fare before someone is willing to accept the ride?

The fare was around ₹148.

Then I increased it.

It went to around ₹191.

And suddenly, the possibility of getting a ride started looking much better.

That is where my frustration really started.

The problem is bigger than ₹43

Someone might look at this situation and say, "It is only ₹43 more."

Technically, yes.

The difference between ₹148 and ₹191 is ₹43.

But that is not really what bothered me.

What bothered me was the experience.

I was ready on time. I had planned my morning around reaching office early. I had done my part. I opened the app, entered the destination and was ready to pay the fare being shown.

But instead of simply getting a ride, I ended up waiting and increasing the fare because nobody was accepting it.

At some point, you stop thinking about whether ₹148 or ₹191 is expensive.

You start thinking about being late.

And that changes the entire decision.

When someone is already getting late for work, an interview, a meeting, a hospital appointment, a train or an airport, they may not have the luxury of waiting indefinitely.

The passenger eventually has to make a choice.

Wait longer and risk being late, or pay more and hope someone accepts the ride.

That is where convenience starts becoming stressful.

The promise of app-based transportation

Ride-hailing applications changed the way people travel.

Before these apps became common, finding an auto or taxi often meant standing on the road, waiting for one to pass, asking whether the driver would go to your destination and sometimes negotiating the fare.

The apps promised to solve that problem.

They brought technology into the process.

You could see the approximate fare.

You could enter your destination.

You could request a ride from your phone.

You could track the driver.

You could make digital payments.

You could share the ride details with someone.

For many people, these features genuinely made daily travel easier.

But after using these services regularly, another reality becomes visible.

Getting a ride and booking a ride are not always the same thing.

The app may successfully create the booking request.

But there still needs to be a driver or captain who is willing to accept it.

And that is where the passenger's experience can become unpredictable.

The passenger sees one fare, the driver sees another calculation

There is an important point here.

The passenger sees a fare and thinks, "This is what I need to pay."

The driver or captain is looking at the same trip from a completely different perspective.

They are thinking about distance, traffic, fuel, time, the possibility of getting another passenger, where the ride will take them and whether the trip is worth accepting.

That is understandable.

Drivers are not simply moving people around for fun. This is their livelihood.

Fuel costs money.

Vehicle maintenance costs money.

Insurance costs money.

Time has a value.

Traffic can turn a 20-minute trip into an hour.

And after dropping one passenger, the driver may have to travel some distance before getting another ride.

So there is a genuine economic question behind every ride.

Is the trip financially worthwhile for the driver?

The passenger, however, has another question.

Can I reach where I need to go on time?

Both sides have legitimate concerns.

The problem is when the platform does not manage that gap effectively.

Who is actually paying for the waiting time?

This is something I kept thinking about during my experience.

The ride had not even started, but I was already losing something.

Time.

If I had been able to book the auto immediately, I would have been on the road earlier.

Instead, several minutes passed while I waited for someone to accept the ride.

Eventually, I had to increase the fare.

Then more time passed before I actually got the ride.

By the time I reached office, the whole plan of leaving early had already fallen apart.

And this is something that does not always appear on the fare screen.

The app tells you the monetary price.

It does not tell you the cost of uncertainty.

Time is also a cost

For working professionals, time is not a small thing.

If you have a fixed office schedule, being delayed by 10 or 15 minutes can affect your entire day.

You may have a morning meeting.

You may need to complete something before a particular time.

You may have colleagues waiting.

You may have a child or family member to pick up later.

You may have another appointment after office.

One delayed ride can create a chain reaction.

That is why a transportation app should not be judged only by how cheap the ride is.

Reliability matters.

If a ride costs ₹148 but takes 20 minutes to get accepted, while another option costs ₹170 and arrives immediately, the second option may actually be more useful to someone who values time.

The problem is that passengers often do not know which one will happen.

Dynamic pricing is a complicated issue

Dynamic pricing exists for a reason.

When demand is high and available drivers are limited, increasing the price can encourage more drivers to accept rides.

From a basic economic perspective, it makes sense.

If there are many passengers looking for rides and not enough drivers available, the price may increase.

That higher price can attract more supply.

But from the passenger's point of view, it can feel frustrating.

You are not necessarily asking for a luxury service.

You may simply be trying to reach office.

The original fare may be within your daily budget.

Then suddenly, because enough drivers are not accepting the ride, you have to pay more.

In my case, the fare moved from about ₹148 to ₹191.

The difference may not look huge.

But imagine this happening several times a week.

Now the difference starts adding up.

₹43 can become a bigger monthly expense

Suppose someone pays an additional ₹43 on a ride because they had to increase the fare.

If that happens 20 working days a month, the extra amount can become ₹860.

If the person takes two rides a day and the same situation happens on both trips, the difference could become much larger.

This is why small increases can matter when they become regular.

For someone earning a comfortable salary, an additional ₹40 or ₹50 may not seem significant.

For someone carefully managing a monthly budget, it can be meaningful.

And transportation is already a recurring expense for many working people.

The bigger issue is predictability

What passengers really need is predictability.

If the fare is ₹191 and the app tells me clearly that this is the amount required to get a ride quickly, at least I can make a decision.

I can decide whether I want to pay it.

But when the app shows ₹148, nobody accepts the ride, then I increase it to ₹160, still nobody accepts it, then ₹175, and eventually ₹191, the experience becomes frustrating.

The passenger is effectively negotiating against an invisible market.

You do not know how many drivers are actually nearby.

You do not know how many have rejected the ride.

You do not know whether the problem is the fare, the destination, the traffic or simply a shortage of available drivers.

You just keep waiting.

And that waiting happens when you are already in a hurry

This is probably the worst combination.

If I am travelling somewhere for leisure, waiting for a ride is annoying but manageable.

If I am going to office and have planned my morning carefully, it is different.

Every minute matters.

You start checking your phone.

You check the app.

You cancel.

You try again.

You look outside to see whether an auto is available.

You consider another app.

You think about taking public transport.

You think about calling someone.

And the morning that was supposed to be organised suddenly becomes chaotic.

Are ride-hailing apps becoming less convenient?

I do not think the answer is simply yes or no.

These platforms have solved many genuine transportation problems.

But they have also created new expectations.

Once people become used to booking transportation from a phone, they expect the process to be reliable.

If I can order food and get a delivery estimate, I naturally expect transportation apps to give me a reasonable indication of whether a ride is actually available.

If there are no drivers available at a particular fare, perhaps the system should communicate that more clearly.

Instead of simply showing a booking screen and waiting indefinitely, the app could potentially tell the passenger something like, "Driver availability is currently low. A higher fare may improve the chances of acceptance."

The technology already knows quite a lot about demand and supply.

The question is how transparently that information is communicated.

Drivers also deserve a fair system

While talking about passenger frustration, it is equally important not to blame drivers.

Drivers have their own challenges.

A passenger may see a ₹148 fare.

But the driver may calculate fuel, maintenance, commissions, traffic and the time required for the trip and decide that it is not worthwhile.

If several drivers independently make the same calculation, passengers will struggle to get rides.

That does not necessarily mean the drivers are behaving badly.

It may mean the economics of the ride are not working for them.

This is why the real problem may not be the driver.

It may be the structure of the marketplace.

There has to be a balance

A transportation platform has three sides.

There is the passenger.

There is the driver.

And there is the platform.

The passenger wants an affordable and reliable ride.

The driver wants fair earnings.

The platform needs to operate a sustainable business.

If any one of these three sides becomes unhappy, the system starts showing cracks.

If fares are too low, drivers may stop accepting rides.

If fares become too high, passengers may stop using the service.

If the platform's commission becomes too high, drivers may feel that they are not earning enough.

If the service becomes unreliable, passengers may move to alternatives.

The challenge is finding a balance.

What about cancellation?

Another frustrating part of app-based transportation is cancellation.

A passenger books a ride.

A driver accepts.

Then the driver calls and asks where you are going.

Sometimes they cancel after hearing the destination.

Sometimes the passenger cancels because the driver is taking too long.

Sometimes both sides lose time.

This creates a strange situation where everyone is technically using the same platform, but neither side necessarily has enough information or incentive to make the first interaction work smoothly.

A better system should reduce this friction.

Technology should solve problems, not move them around

This is where I think technology companies have an opportunity.

The purpose of technology is not simply to put an old process inside an app.

It should improve the process.

If earlier we had to stand on the road and negotiate with an auto driver, an app should ideally make that experience more predictable.

If drivers are rejecting rides because the fare is too low, the platform should have enough data to understand that.

If certain routes regularly have low driver availability, the platform should know that too.

If morning office hours create a shortage of vehicles in a particular area, that pattern should be visible.

The technology exists.

The question is whether the system can use that information in a way that benefits both sides.

Could scheduled rides help?

One possible solution is better scheduling.

Many people know when they need to leave home.

Office workers usually have predictable schedules.

Airport passengers know their flight times.

People going to railway stations know their departure times.

If passengers could reliably schedule a ride in advance and drivers had sufficient incentives to commit to that ride, it could reduce uncertainty.

Of course, scheduled rides have their own operational challenges.

But for regular commuters, predictability could be extremely valuable.

The daily commuter is different from the occasional passenger

Someone taking an auto once a month may not care much about a ₹40 difference.

But someone travelling to office every day does.

For daily commuters, small problems become repeated problems.

A five-minute delay today may not matter.

Five minutes every day becomes a significant amount of time over a month.

An extra ₹40 once is nothing.

An extra ₹40 repeatedly becomes a budget item.

A ride cancellation once is frustrating.

Repeated cancellations become a reason to look for alternatives.

This is why platforms need to think about long-term user trust.

Convenience should mean convenience

The word "convenience" gets used a lot in the technology industry.

But convenience is not simply having an app.

Convenience means being able to depend on the service when you need it.

If I have to repeatedly increase the fare, cancel and rebook, call drivers, compare multiple apps and wait on the road, then some of the convenience has disappeared.

The app may still be useful.

But it is no longer as effortless as it was supposed to be.

My morning could have been different

What makes today's experience particularly frustrating is that I had actually planned ahead.

I was ready early.

I was not trying to leave at the last possible minute.

I had made a conscious decision that I would reach office early so that I could finish my work on time and leave on time.

That small plan depended on one basic thing.

Getting a ride.

Instead, the transportation problem became the reason for the delay.

It is a little ironic.

We have apps, GPS, digital payments, live tracking, automated pricing and huge networks of drivers.

Yet sometimes the most basic part of the journey still becomes difficult.

Can someone simply pick me up and take me where I need to go?

Maybe this is a conversation we need to have

I am sure I am not the only person who has experienced something like this.

People who regularly use Rapido, Uber, Ola and other ride-hailing services probably have their own stories.

Sometimes the ride is accepted immediately.

Sometimes it takes forever.

Sometimes the fare is reasonable.

Sometimes it suddenly becomes expensive.

Sometimes the driver is excellent.

Sometimes the experience is disappointing.

That inconsistency is what makes the issue worth discussing.

It is not about one bad ride.

It is about what people have started expecting from app-based transportation.

Should passengers simply accept higher fares?

That is another question worth asking.

If drivers are not accepting a ride at ₹148, perhaps the market is telling us that ₹148 is not attractive enough for that particular trip at that particular time.

From an economic perspective, increasing the fare can solve the immediate problem.

But should the passenger have to discover that through repeated failed booking attempts?

Perhaps the platform could provide clearer information from the beginning.

If driver availability is low, tell the passenger.

If the expected waiting time is high, show it.

If a higher fare significantly increases the likelihood of acceptance, explain that.

Transparency can make a frustrating situation easier to understand.

There is also a human side to this

Behind every ride is a person.

There is a passenger who may be trying to get to work.

There is a driver trying to earn a living.

There is a platform trying to manage millions of transactions.

It is easy to blame one side when something goes wrong.

The passenger says drivers are not accepting rides.

The driver says fares are too low.

The platform says pricing changes according to demand.

Everyone may have a point.

The real challenge is designing a system where these interests work together rather than constantly fighting against each other.

What would a better experience look like?

Imagine opening the app at 8:30 in the morning.

Instead of simply showing ₹148 and waiting, the app tells you that there are currently very few autos available in your area.

It says that at ₹148 the estimated waiting time may be 15 minutes.

At ₹170, the chances of getting a ride improve.

At ₹190, a ride is likely to be accepted quickly.

Now you have information.

You can choose.

Maybe you decide to pay ₹190 because reaching office on time is more important.

Maybe you choose ₹148 and wait.

Maybe you take the metro.

Maybe you use another service.

The important thing is that you are making the decision with better information.

That is what technology should ideally provide.

The future of urban transportation

India's cities are growing.

More people are travelling to offices, schools, colleges, hospitals, shopping centres and other places every day.

Traffic is becoming a major part of urban life.

Public transportation is expanding in many cities, but last-mile connectivity remains important.

Autos, taxis, bikes and other shared transportation options fill that gap.

This means ride-hailing platforms are likely to remain an important part of urban mobility.

But as these platforms mature, people may expect more than just availability.

They will expect reliability.

They will expect transparency.

They will expect fair pricing.

They will expect better communication.

And they will increasingly compare services based on the overall experience rather than simply the cheapest fare.

My ₹148 to ₹191 experience is actually a bigger question

When I look back at this morning, the extra ₹43 is not really the main thing I remember.

I remember the waiting.

I remember watching the time.

I remember thinking that I had done everything right by getting ready early, only to lose that advantage because I could not get an auto.

I remember eventually increasing the fare because I needed to reach office.

And I remember arriving later than I had planned.

That is the part that needs attention.

Transportation is one of those services where reliability can be just as important as price.

People are not only buying a ride.

They are buying time.

They are buying predictability.

They are buying the ability to plan their day.

The question for ride-hailing companies

The question I would put to ride-hailing platforms is simple.

Can you make the booking experience more predictable for both passengers and drivers?

Can passengers understand why their ride is not being accepted?

Can drivers see enough information to decide whether a trip makes financial sense?

Can pricing be transparent without making the passenger feel like they are being pushed into paying more?

Can the system reduce cancellations?

Can regular commuters get more reliable service during peak hours?

These are not small questions.

They are central to whether app-based transportation continues to feel like a genuine convenience.

And for passengers like us

Maybe we also need to recognise that drivers have their own economics.

₹148 may look reasonable to us, but it may not be attractive to someone spending hours in traffic and paying for fuel and vehicle maintenance.

That does not mean passengers should automatically accept every higher fare.

It means the conversation needs to move beyond "driver versus passenger."

The real question is how the entire system can work better.

A sustainable ride-hailing service needs passengers who feel that the prices are reasonable and drivers who feel that the earnings are worthwhile.

If either side feels consistently unhappy, the platform will eventually feel unreliable.

What happened this morning was frustrating, but it raised a useful question

I started my morning thinking I would reach office early.

Instead, I spent valuable time trying to get an auto.

The fare started around ₹148.

After repeated attempts and no captain accepting the ride, I increased it.

Eventually, it reached around ₹191.

The ride finally happened, but by then my carefully planned morning had already been disrupted.

Maybe tomorrow I will get a ride immediately at ₹148.

Maybe another day I will have the same problem again.

That uncertainty is the real issue.

We use technology because we want things to become easier.

We use transportation apps because we want to avoid standing on the road searching for a ride.

We want to enter a destination, request a vehicle and get moving.

That simple expectation should not feel unreasonable.

As India's cities continue to grow and millions of people depend on app-based transportation every day, the quality of that experience will matter more and more.

The future of urban mobility should not only be about having more vehicles on an app.

It should be about creating a system where passengers can plan their journeys with confidence, drivers can earn fairly and platforms can operate sustainably.

Because at the end of the day, whether the fare is ₹148 or ₹191 is only one part of the story.

The bigger question is this:

If I am ready on time, can my ride be ready too?

And maybe that is the question ride-hailing companies need to think about.

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