Measuring Regional Economic Development from the Ground Up: Gas Station Infrastructure as an Alternative to Nighttime Lights
This paper introduces the Gas Station Index (GSI), a novel bottom-up indicator derived from open-source geospatial data on gas stations and their surrounding amenities, which effectively measures regional economic development with accuracy comparable to nighttime lights while providing complementary ground-level insights into infrastructure and consumption environments.
Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
Economists have long relied on a single, stubborn metric to gauge the health of a place: the gross domestic product, or GDP. This number attempts to sum up everything a region produces, but at the local level, it is often a ghost. Official statistics are frequently released years after the fact, or they exist only for broad, blurry areas that hide the true differences between a bustling city center and a struggling rural town. To fill this gap, researchers have turned to the sky. For decades, satellite images of nighttime lights have served as a reliable stand-in for economic activity; where the lights are bright and steady, the economy is usually strong. It is a powerful tool, but it looks down from above, capturing only the glow of human settlement and industry. It misses the texture of life on the ground, the specific ways people move, spend, and interact with their surroundings.
A new study suggests there is a way to measure the economy from the ground up, using a feature of daily life that is often overlooked: the gas station. By mapping nearly 100,000 fuel stations across 18 countries, researchers have built a new index that captures the pulse of local economies in a way satellites cannot. This approach does not just count the stations; it examines the quality of service they offer, the variety of shops and cafes nearby, and how easily people can reach them. The result is a detailed picture of regional development that complements the view from space, revealing that the infrastructure of everyday commerce holds a secret code to a region's wealth.
The researchers behind this work, based in North Macedonia, started with a simple observation. Gas stations are not isolated pits of fuel; they are hubs of activity that reflect the needs and habits of the people around them. A station in a wealthy, busy district will likely offer more services, stay open later, and be surrounded by a dense cluster of restaurants, banks, and repair shops. A station in a poorer or more remote area will likely be simpler, with fewer neighbors. To turn this intuition into data, the team created the Gas Station Index. They did not simply tally the number of pumps. Instead, they looked at six specific traits for each station, such as whether it was part of a major brand, if it accepted multiple payment methods, and if it had a shop or a car wash. They then looked at the immediate neighborhood, measuring how many different types of businesses existed within a short walk or drive. Finally, they calculated how accessible these stations were to the local population. By combining these factors into a single score for each region, they created a map of economic vitality that rises from the pavement.
When they tested this new index against official economic data, the results were striking. The score for a region's gas station infrastructure matched its GDP per capita with a strength comparable to the famous nighttime lights. In their analysis of 207 regions across Europe, East Asia, South America, and Africa, the index explained about 75 percent of the differences in local wealth. This means that if you know the quality and density of the gas stations and their surrounding amenities in a town, you can make a very accurate guess about how rich that town is. However, the study found something even more interesting: the gas station index and the satellite lights were not saying the same thing. While both predicted wealth well, they were only weakly related to each other. This suggests they are looking at different sides of the same coin. The lights show where the energy is being used, while the gas station data shows where the money is being spent and how people are moving through the landscape.
The power of this new method becomes clear when you look at the places where the two measures disagree. In some regions, the gas stations and the lights both suggest a thriving economy, but the official numbers say otherwise. These areas often have large informal economies or rely on money sent from abroad, meaning people have the means to drive and shop, even if their local businesses don't show up in official tax records. In other places, the lights might be bright, or the gas stations might be plentiful, but the actual economic output is lower than expected. This happens in areas dominated by heavy industry or mining, where a massive amount of value is created by a few large machines, but the surrounding towns remain small and the local consumer economy is thin. The gas station index captures this nuance because it reflects the reality of the local service environment, not just the industrial output.
The study also highlights how this ground-level view handles different types of landscapes. In dense, crowded cities, satellite lights can sometimes get saturated, meaning the glow is so bright that it becomes hard to tell the difference between a very rich neighborhood and a slightly less rich one. The gas station index, however, can still find differences by looking at the variety of services and the quality of the stations. Conversely, in remote areas with snow or large bodies of water, satellite images can be distorted by the environment, making it hard to see the true pattern of lights. The gas station data, being based on fixed, man-made structures on the ground, is less affected by these natural obstacles. This makes the two tools a perfect pair: one sees the glow from above, and the other sees the infrastructure below.
Ultimately, this research offers a new way to understand the uneven map of human development. It proves that the everyday objects we pass without a second thought—the fuel pump, the convenience store, the car wash—are actually rich sources of information about our economic lives. By combining these ground-level details with the broad view from space, researchers can now see regional inequalities with much greater clarity. This is not just a new way to count money; it is a new way to see the world, revealing that the health of a community is written in the density of its services and the quality of its connections, waiting to be read by anyone willing to look down from the sky and then back to the street.
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