Modern transportation and logistics are increasingly less like classic point-to-point travel schemes. Today, they are complex systems in which routes, constraints, demand, and actual traffic conditions intersect. With the growth of e-commerce, urbanization, and transportation volumes, managing such flows is becoming increasingly difficult.

In this environment, geographic information systems (GIS) are becoming more than just a visualization tool; they are the basis for analysis and decision-making. They allow us to view transportation not as a set of routes, but as a dynamic spatial system.

Transportation as a Spatial Network

Most transportation problems are based on a simple idea: everything happens in space. Roads, warehouses, stores, transportation hubs—all are elements of a single network.

GIS allows us to represent this network as a graph, where:

• roads are links

• intersections and objects are nodes

• time or distance is the "weight" of each segment

This model enables the application of routing algorithms, availability analysis, and flow distribution. Where is GIS used in transportation?

Route optimization

One of the most common tasks is constructing an optimal route. This can be the shortest route or a route taking into account constraints such as speed, road type, or congestion.

Delivery companies like Amazon use similar algorithms to minimize delivery times and reduce costs.

Accessibility analysis

It's not always important how far away a facility is. What's more important is how long it takes to get there.

Isochrones are used here: zones showing the accessibility of a point over a given time. For example, you can estimate which areas of the city are within 15 minutes of a warehouse or store.

Such approaches are actively used in services like Uber to calculate pickup times and distribute demand.

Traffic flow management

GIS helps analyze traffic flow and identify problem areas. In cities, such systems are used to: optimize traffic lights, reduce congestion, analyze road congestion.

This allows for not just reacting to problems but also predicting them in advance.

Infrastructure planning

GIS is also used at the planning stage. Spatial analysis can help determine:

• Where is the best place to locate a warehouse?

• Which areas are underserved by infrastructure?

• How will accessibility change after road construction?

These challenges are relevant for both business and urban planning.

What data is used?

Data is the foundation of any analysis. Transportation projects most often use:
– OpenStreetMap: road network

– GPS tracks: actual traffic routes
– Traffic data (e.g., Google Maps)

– Internal company data (orders, warehouses, routes)
The more accurate and up-to-date the data, the more reliable the results.

Tools

A variety of tools for working with transportation data are available today.

QGIS is often used for in-depth analysis. It allows you to build routes, analyze networks, and configure complex scenarios. The most common solutions are QNEAT3 and ORS Tools plugins.

If speed and simplicity are needed, web platforms such as GISCARTA are more convenient. They allow:

• to build routes and isochrones

• to analyze availability

• to quickly visualize data without preparation

Learn more about the Transport Analytics widget in the documentation or on the blog.

Routing services such as OpenRouteService and Mapbox, which can be integrated into applications, are also widely used.
You can read more about constructing isochrones on our blog.

Limitations and nuances

Despite the capabilities, it is important to consider limitations.

Data may be:

• incomplete

• outdated

• not reflect real traffic conditions

Furthermore, a model always simplifies reality. Therefore, the analysis results require interpretation.

Where is the industry heading?

GIS development in transportation is moving toward more dynamic systems.

Key areas include:

• working with real-time data

• integration with IoT (sensors, transportation)

• using AI for forecasting

• creating digital twins of cities

Such systems allow not only to analyze the current situation but also to model future scenarios.

FAQ

How is GIS used in logistics?
GIS helps optimize routes, analyze delivery zones, and reduce transportation costs through more efficient planning.

Can open data be used for transportation analysis?
Yes, sources like OpenStreetMap are widely used for route mapping and transportation network analysis.

When is it better to use web GIS versus desktop solutions?
Web platforms are suitable for quick analysis and visualization, while desktop GIS is better for complex calculations and custom scenarios.

Key Takeaways

GIS allows you to consider transportation and logistics as a unified spatial system, where routes, accessibility, and timing play a key role.

High-quality and up-to-date data is essential for accurate transport and logistics analysis.

Combining spatial analysis with real-world constraints leads to more efficient decision-making in transportation systems.