Why Cycling Trip Planning Is Broken

Planning a cycling trip still means stitching together blogs, YouTube, local knowledge, route sites, logistics research and a significant amount of guesswork.

The information exists. The problem is that it is fragmented, opinion-driven and poorly integrated.

That is why planning still feels harder than it should. Riders are not short of information. They are short of joined-up decision support.

The information exists but is not connected

The sources a serious cyclist actually uses to plan a trip include forum posts from riders who visited three years ago, YouTube videos from creators who rode the popular routes, blog articles written to rank for search terms rather than to inform, and route files from apps that reflect what data is available rather than what is worth riding.

Each source has a purpose. None of them, on its own, gives a rider what they actually need: integrated judgement that accounts for the terrain, the logistics, the fatigue curve, the transfer options and the rider's actual goals.

The result is that planning a cycling trip often requires significant expertise before you can even evaluate the information. You need to already know enough to distinguish useful advice from popular advice.

Every source has a bias that is not stated

Blog posts are written to rank for search. The content that performs best is content about popular destinations and common problems. That means the content that gets written is not necessarily the content that would be most useful.

YouTube channels optimise for engagement. The routes that get shown are the ones that look impressive on camera. That means the routes that are most worth riding are not necessarily the ones that are most visible.

Tour operators publish itineraries that fit their format. That means the recommendations reflect what the operator can deliver, not what might be better for the specific rider.

Local knowledge is genuinely valuable. But it is usually the knowledge of what locals ride, not of how visitors should plan their trip across multiple days with limited time and logistical constraints.

The decisions that need joined-up thinking

Planning a cycling trip requires a type of judgement that most tools do not support.

You have to think about fatigue accumulation across consecutive days, not just the quality of individual rides. A rider who does three consecutive hard days in unfamiliar terrain will perform worse on day four than the same rider who managed the effort curve better.

You have to think about transfers as part of the ride plan, not as logistics. A transfer day is not a day off. It is a low-output day that costs energy and disrupts the trip.

You have to think about the interaction between accommodation, logistics and riding. A base that looks good on paper may be difficult to access on arrival, may have poor cycling infrastructure, or may be poorly located for the rides you actually want to do.

You have to think about duration in the context of ride depth. Some destinations are worth a week. Others reveal themselves completely in two days.

None of these decisions are well supported by existing tools. Most tools address one dimension of the problem in isolation.

What good decision support would look like

The point is not that no information exists. The point is that the available information is not structured to support the decisions that actually matter.

The decisions that matter are:

• Which location fits the type of riding you want to do
• How many days each location needs based on ride depth
• How to sequence multiple locations so the effort curve works
• How to account for transfer overhead in the effort budget
• How to choose a base that actually supports the riding, not just the logistics

Those are the same decisions explored in more practical terms in articles like how to choose a base for a cycling trip, how many days you actually need in one cycling location, and how to plan a multi-location cycling trip.

These are not abstract questions. They are specific planning decisions with specific answers that depend on the rider and the trip. Existing tools do not handle that well.

The real problem

The real problem is not lack of information. Riders can find enough information to answer most questions if they spend enough time. The real problem is lack of integrated decision support: a way of asking a question about a specific trip and getting a considered answer that accounts for all of the relevant factors together.

That is the problem that needs solving.

What Parcours is and is not

Parcours is not trying to replace local knowledge, personal judgement or the value of experience. It is not trying to become another generic content feed, route directory or itinerary generator.

What it is trying to do is help riders make better planning decisions by joining up the factors that usually sit in separate places: destination fit, trip structure, transfer burden, ride depth, logistics and the shape of the riding itself. That is also why generic planning tools still feel incomplete, which is explored more directly in why generic AI, blogs and route apps still don't solve cycling trip planning.

That matters because the planning problem for visiting riders is not really about finding more information. It is about making better decisions with the information that already exists.

If Parcours does its job properly, it should reduce the guesswork, make the trade-offs clearer and make it easier to plan a trip that works as a whole.

And usually, a better trip.