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Industrial parks: how to serve the shift change

Industrial parks concentrate thousands of trips into a few minutes and at odd hours. How to prepare the fleet for shift change, look after night shifts, work with companies and measure each window.

10 min readEquipo Cabgo · Mobility platform
Isometric illustration of an industrial plant with a clock, taxis waiting at the entrance and a road towards the city.

In many mid-sized cities in Mexico and Latin America, the industrial park is the largest employer in the area. Thousands of people enter and leave the plants three times a day, at fixed hours, and a large share of them have no car of their own and no public transport running at five in the morning or eleven at night. For an app-based taxi fleet, that is huge demand, predictable and repeated every working day. And yet many fleets serve it poorly or don't even see it, because it all arrives within a few minutes and at hours when few drivers are online.

The thesis of this article is that industrial parks are a market of their own, with rules different from the urban trip: demand concentrates at shift change, night-time hours demand reliability and safety, and the paying customer can be the worker or the company itself. A fleet that organises itself around those hours turns a chaotic peak into a stable base of trips. We'll look at what makes this market different, how to prepare the fleet for shift change, what to watch at night, how to work with the companies in the park and how to measure whether it is really working.

Why the industrial park is a market of its own

The first difference is timing. In the city centre, demand rises and falls during the day more or less smoothly. In an industrial park, by contrast, almost everything happens in three short windows: the start and end of the first shift, the second and the third. Between one window and the next, the area can be practically empty of trips. A driver who heads to the park at midday without knowing this wastes their time; one who arrives ten minutes before the shift ends can chain several trips in a row.

The second difference is distance. Parks are usually on the outskirts, next to a highway or a motorway, and many workers live in working-class neighbourhoods on the other side of the city or in nearby towns. These are longer-than-average trips, with a return that is often made empty, and that changes the maths for the driver. If the fare doesn't recognise it, drivers soon learn to avoid the park, precisely at the hours when they are most needed.

The third difference is the passenger. The plant worker travels every day, at the same time and almost always along the same route. They are exactly the kind of recurring passenger any fleet wants, but also one very sensitive to price and punctuality: arriving late at the plant can cost them a pay deduction, a written warning or even their job. They don't compare your service with another app; they compare it with the company's staff transport, with the minibus or with getting a lift from a colleague.

Shift change: a lot of demand in a few minutes

The critical moment is the end of the shift. Hundreds of people leave through the same gate at the same time, and if at that moment there are only three or four drivers nearby, waiting times shoot up, passengers cancel and walk to the road to look for another option. The problem isn't a lack of drivers in the city, but that they aren't in the right place at the right minute. The solution is to get ahead of it:

  • Know the start and end times of the largest plants in the park.
  • Give drivers advance notice of each shift-change window.
  • Set waiting points near the gates, where stopping is allowed.
  • Stagger drivers' arrival so as not to clog the park entrance.
  • Review after each peak how many trips were requested and how many were served.
  • Adjust the following week based on what was learned on each shift.

Finding out the shift times is easier than it seems. Drivers who already live near the park know them, workers mention them when booking the trip and, in many cases, it's enough to ask at the security booth or in human resources. With a simple table of plants and times, dispatch can know every day when the peak is coming and alert the fleet half an hour in advance.

Waiting points matter too. A group of taxis double-parked in front of a plant gate generates complaints from the company, the neighbours and park security. Agreeing on one or two places where drivers can wait without getting in the way, and telling passengers they are the meeting point, brings order to the exit and avoids conflicts that are hard to repair afterwards.

Night and early-morning shifts

The third shift is the hardest to cover and, at the same time, where a reliable fleet stands out most. At five in the morning or at midnight there is hardly any public transport, the streets leading to the park may be poorly lit and the worker leaving the plant just wants to get home safely. At those hours, reliability weighs more than price: the passenger would rather pay a little more than be left waiting by the road.

For drivers, the early hours also have costs. They have to get up very early or work through the night, and the return from the park is usually empty. That's why it makes sense for the drivers covering these hours to be those who live near the area or near the neighbourhoods where the workers live, and for the fleet to recognise that effort with a clear night fare or with incentives for the least attractive shifts.

Safety deserves explicit rules. The driver waiting until the person is inside the car before setting off, dispatch knowing which trips are in progress on the third shift and having a clear channel to report any incident are simple details, but they're what make a worker recommend the service to their colleagues on the line. In plants, word of mouth spreads very quickly, for better and for worse.

Working with the companies in the park

Besides the worker who pays for their own trip, the industrial park offers another customer: the company. Many plants have transport needs their staff transport doesn't cover, such as a supervisor leaving outside normal hours, a technician arriving from another city, a worker who feels unwell mid-shift or a group staying on for overtime after the bus has gone. An agreement with the company to handle those trips, with monthly invoicing and clear rules, can become a stable source of income.

For that agreement to work, the company needs control above all. It wants to know who booked each trip, when, from where and how much it cost, and it wants to be able to review it at the end of the month without chasing receipts. It also wants to know whom to call when something goes wrong. Before signing, it's worth agreeing these points with the human resources or purchasing department:

  • Who can book trips on the company's account.
  • During which hours and for which kinds of journeys the agreement applies.
  • How the fare is calculated and whether there are night surcharges.
  • What data appears in the monthly trip report.
  • How and when the invoice is issued.
  • Whom to contact in case of a complaint or incident.

Starting with a single plant is usually better than trying to close deals with the whole park at once. A first company that is well served becomes the reference for the others, because in industrial parks HR managers know each other and share suppliers. A bad start, on the other hand, closes doors at several plants at the same time.

For months we saw the industrial park as a dead zone: at midday there was nothing. When we started alerting drivers ten minutes before each shift ended and agreed a waiting point with security, trips from the area multiplied. Today the afternoon shift change is one of our best moments of the day.
— Operations manager of an app-based taxi fleet in an industrial city of 200,000 in Guanajuato, Mexico

Fares and payment designed for the worker

The plant worker does the maths every day. If the trip to work costs a significant part of their daily wage, they'll look for alternatives even if the service is good. That's why it makes sense for the fare to and from the park to be clear and stable, ideally a fixed fare or a published range from the neighbourhoods where most trips start, as is done with the airport or the bus station. A price that changes a lot from one day to the next breaks the trust of a passenger who travels daily.

Payment matters too. Many workers are paid weekly or fortnightly and prefer to pay cash, while others already use cards or transfers. Accepting the payment methods workers actually use, and explaining them clearly when booking, avoids arguments at the end of the shift, when everyone is in a hurry. And if the fleet offers some benefit to frequent passengers, this is the segment where it makes the most sense, because it's the one that repeats the most trips.

How to tell whether it's working

Because the park's demand is concentrated in such short windows, daily averages are misleading. A fleet can have a good average waiting time and, at the same time, leave half the workers who booked at the end of the second shift unserved. That's why it's worth measuring the park separately and by shift: how many trips were requested in each window, how many were completed, how long the passenger waited and how many cancelled before the driver arrived.

With those numbers, the conversation with drivers changes. Instead of telling them to go to the park because there's work, dispatch can show them that the afternoon shift exit has many unserved trips and that those who wait there chain several jobs. It's the kind of data that convinces more than any incentive, and that makes it possible to spread the fleet better between the park and the rest of the city.

A predictable peak is an opportunity

Industrial parks have something few areas of the city offer: demand that can be predicted precisely, day after day, with passengers who repeat the same trip for months or years. What makes them difficult, the short peaks, the early hours and the long distances, is exactly what an organised fleet can solve better than the minibus or the rank taxi. Knowing the shift times, having drivers in the right place and taking care of night-time safety are the basis of everything else.

If your city has an industrial park and you still see it as an area with few trips, try for a month to organise the fleet around shift changes and to measure each window separately. You'll probably discover a market that was already there, waiting for someone to arrive on time. And with Cabgo you can launch your own branded taxi app to serve it from day one.

Topicsindustrial park taxishift change transporttaxi for plant workersnight shift taxiindustrial park worker transporttaxi demand shift hours