Path Analysis Using Smartphone Location Data: Practical On-site Optimization Anyone Can Use

Table of Contents

• What is path analysis? The significance of visualizing on-site movement

• How smartphones obtain location information

• Visualization and analysis of movement data

• Benefits of on-site optimization from path analysis

• Use cases of path analysis

• Points and cautions when implementing

• Simple surveying with a smartphone: using LRTK

• Conclusion

• FAQ

What is path analysis? The significance of visualizing on-site movement

"Path analysis" means recording and analyzing the routes (paths) that people and things take as data, and visualizing on-site movement. On worksites, workers, customers, and others move in various ways every day, and understanding those movement traces can provide clues for improving efficiency. For example, you can capture data on where workers traveled, how far and how long they moved, and which locations they stayed at for long periods. This makes it possible to discover points useful for layout improvements and revising movement plans, such as "Is there wasted movement on frequently used routes?" or "Are materials and products placed appropriately?"

Traditionally, understanding on-site movement relied on manual observation or checking video footage, which required enormous effort. Decisions were often based on intuition, and oversights were common. By adopting path analysis, you can visualize such on-site "movement" as objective data. Because improvements can be made based on data rather than only experience or intuition, this approach is gaining attention as part of recent on-site DX (digital transformation). While analyzing user behavior is already common in online retail, using data on real-world human movement is only now becoming widespread. As path analysis spreads, the wave of data-driven improvements is beginning to reach physical worksites as well.

How smartphones obtain location information

Modern smartphones are equipped with high-performance location acquisition functions that greatly help collect data for path analysis. Outdoors, satellite positioning (GNSS) such as GPS allows a smartphone alone to determine its current position with an accuracy on the order of a few meters (a few ft). Recent technologies also support satellite positioning enhancement methods called RTK, enabling precise location measurements on the order of a few centimeters (a few in). By attaching a small dedicated device to a smartphone or using augmentation signals from satellites, high-precision positioning that previously required specialized equipment is increasingly possible with just a smartphone.

In environments where GPS signals are weak, such as inside buildings, smartphones obtain location information using other approaches. A typical method is Bluetooth beacons or Wi‑Fi. When a smartphone comes near a transmitter installed indoors, the position is estimated from signal strength. There are also inertial-navigation-like methods that use built-in accelerometers and gyroscopes to estimate routes from step counts and direction. Advanced techniques that use cameras and AR to recognize surrounding features and determine position are also emerging. By combining these methods, it is possible to acquire location data and record movement with only a smartphone even indoors where GPS is unavailable.

Because nearly everyone now has a smartphone, onsite projects can often collect location data using workers’ own devices, which makes it easy to start without introducing dedicated hardware.

Visualization and analysis of movement data

You visualize and analyze actual paths from the location data collected by smartphones. Specifically, you overlay the acquired movement history onto a site map or floor plan, draw the routes taken as lines, or use heat maps to color-code locations with long dwell times. This allows you to understand movement patterns at a glance. For example, graphing the total distance a worker traveled in a day or the time required lets you quantitatively evaluate task efficiency. Overlaying multiple people’s paths can reveal areas where many people linger or, conversely, blind spots that no one passes through.

In path data analysis, it is important to test hypotheses set in advance. If site staff suspect based on intuition that "there may be a lot of wasted movement here," check whether the data supports that. If the data confirms the hypothesis, that area becomes a priority for improvement. If movement differs from expectations, it becomes a new finding to investigate further. After implementing improvements such as layout changes or revising routes based on insights from analysis, measure and analyze again. Comparing before-and-after data lets you quantitatively evaluate the effect of measures. By repeating this cycle (measure → analyze → improve → re-measure), you can achieve continuous on-site optimization.

Benefits of on-site optimization from path analysis

Using the insights and data obtained from path analysis provides many benefits that lead to improved on-site productivity. First, it can eliminate wasted work. If unnecessary back-and-forth or detours are found, you can shorten travel distances and reduce lost work time by changing layouts or adjusting item placement. As a result, the same tasks can be completed in less time, improving operational efficiency. This helps produce more output with limited personnel, which is valuable amid labor shortages.

Second, path analysis can improve on-site safety. If movement data reveals intersection points between people and vehicles like forklifts, it helps inform safety measures such as reviewing locations for safety barriers or implementing one-way routes. Visualizing hazardous areas with data makes it easier for staff to share awareness of risks. Additionally, being able to view on-site conditions objectively through path analysis can prompt reconsideration of the work process itself—questions like "Why is this movement necessary?"—leading to improvements in workflow and optimization of staffing, thereby enhancing overall on-site management.

Path analysis also reduces worker burden and can boost morale. Less wasted movement reduces physical fatigue and makes it easier to concentrate on tasks. Showing data-backed reasons for improvements makes it easier for staff to accept and cooperate with changes. Path analysis provides an opportunity to share issues across the site and tackle improvements as a team.

Furthermore, path analysis can have spillover effects on customer satisfaction and sales. Analyzing visitor movement in stores or facilities enables measures that ease congestion and improve circulation. Providing routes that allow comfortable movement enhances customer experience, which can lead to higher sales and repeat visit rates. In this way, path analysis contributes to comprehensive optimization that includes efficiency, safety, and service quality.

Use cases of path analysis

Path analysis is being adopted across a range of industries and sites. Representative use cases include:

• Manufacturing and logistics sites: In factories and warehouses, analyzing the movements of workers and forklifts can lead to changes in the placement of parts and the layout of workstations to reduce wasted movement. For example, relocating frequently used materials closer to the work area significantly shortened travel distances and improved efficiency in some cases. It’s also possible to monitor access to hazardous areas and use that information to improve safety measures.

• Construction sites: In building and civil engineering sites, tracking heavy equipment routes and worker patrols has been used to optimize layouts and route planning. On large construction sites, data can reveal where congestion or wasted movement occurs, and by adjusting the placement of temporary materials and passages, travel time can be reduced while improving efficiency and safety.

• Stores and commercial facilities: Large stores and shopping malls have analyzed in-store visitor flow to improve product placement and guidance. Changing the layout to encourage easy circulation has been reported to increase visit and purchase rates. Some facilities also use real-time crowd monitoring to adjust staff allocation and guidance, shortening wait times and improving service.

• Events and theme parks: Event venues and theme parks analyze crowd flow in real time to reduce congestion. By using smartphone app location data to understand visitor movement, organizers can detect crowded areas in advance and change routing or deploy more staff where people tend to gather, reducing visitor stress and ensuring safety. Providing smooth routes directly improves participant satisfaction.

Points and cautions when implementing

When introducing path analysis at a site, keep several points in mind.

• Be clear about your objectives: First, clarify what you want to improve with path analysis. Whether your goal is to reduce travel distances or alleviate congestion in a specific area, sharing the problem awareness focuses data collection and analysis and makes efforts more effective.

• Choose appropriate technologies: Select location acquisition methods according to the environment and required accuracy. For large outdoor sites, use smartphone GPS and consider supplementing with RTK-capable devices if higher accuracy is needed. Indoors, install BLE beacons or use existing Wi‑Fi infrastructure. Consider costs and installation effort, and choose technology that can be introduced without undue burden.

• Consider privacy: Tracking movement requires careful attention to privacy. When recording employees’ paths, explain the purpose and obtain understanding before collecting data, and make it clear that the goal is not to monitor individuals. For third parties such as visitors, treat the data as anonymized statistics or use location data only from users who have given prior consent; protecting personal information is essential.

• Establish a data utilization framework: Collecting location data is useless without mechanisms for analysis and utilization. Using software or cloud services to visualize and analyze movement data is effective. Since tools usable without specialized knowledge are increasingly available, set up a system that allows site staff to check results themselves.

• Start small: Rather than applying it site-wide at once, pilot in a limited area or period first. A small start allows low-cost, low-risk validation of effects, and makes it easier to gain internal buy-in. Gradually expanding application lets you promote site-wide DX without strain.

• Pursue continuous improvement: Path analysis is not a one-time implementation; it is important to continuously collect data and iterate improvements. It’s rare that a single layout change will be perfect, so regularly review movement data to check for new issues. By keeping the PDCA cycle running, you can maintain and raise the level of on-site optimization.

Simple surveying with a smartphone: using LRTK

As you pursue on-site improvements through path analysis, another smartphone use worth knowing is "simple surveying." Improving site layouts requires accurate dimensions and understanding of positional relationships, which previously required specialized surveying equipment and expertise. Solutions that allow easy surveying with a smartphone have since appeared.

LRTK is one example of an innovative tool that turns a smartphone into a high-precision surveying instrument. By attaching a thin dedicated GNSS receiver to a smartphone and using a dedicated app, you can apply real-time corrections to satellite positioning data and measure current position with an error range of a few centimeters (a few in). This makes it possible to instantly obtain coordinates for control points across large outdoor sites, or to accurately measure heights and distances at specific points. Combining the smartphone camera allows scanning the surroundings to acquire 3D point-cloud data and record detailed terrain and structure shapes. On the acquired data you can measure lengths, areas, and volumes or compare against design data on drawings, all on the smartphone.

Tasks that traditionally required a surveying specialist can be handled on-site by staff themselves using LRTK. For example, if path analysis suggests "moving this machine to another location in the factory would improve efficiency," LRTK can be used to accurately measure candidate space dimensions or mark installation coordinates, quickly turning a layout change plan into concrete steps. No complicated setup or adjustment is required—just a smartphone and an LRTK device make it easy to measure and check on-site. The realization of simple surveying that "anyone can use" further expands the possibilities for on-site optimization.

Conclusion

Path analysis using smartphone location data is a powerful method for improving and optimizing worksites that does not require special expertise. By visualizing and analyzing people’s movement as data, you can discover previously unnoticed waste and opportunities, and optimize sites using a scientific approach. Because smartphones are familiar devices, barriers to introduction are low, and with the right ideas, path analysis can be applied to worksites of any industry or scale.

With increasing needs for labor efficiency and productivity, attention is focusing on such data-driven improvement methods. Start small using the smartphones already at hand, experience the effects, and then scale toward full-fledged on-site DX. Combining advanced tools like LRTK makes it possible to carry out surveying and analysis end-to-end on a smartphone. As a practical on-site optimization technique that anyone can use, try employing path analysis with smartphones and location data to unlock your site’s potential.

FAQ

Q: What is path analysis? A: It is recording the movement routes of people and vehicles as data, then visualizing and analyzing them. It refers to the method of making "how people move on site" visible and using that information for efficiency and layout improvements.

Q: What do I need to start path analysis? A: Basically, a smartphone with GPS capability is enough to get started. Install a dedicated app on the smartphone to record location information, and analyze that data. If higher precision is required, you can use a high-precision GNSS receiver (RTK-capable device) attached to the smartphone or indoor beacon devices. Having software or services to visualize and analyze collected data is also effective.

Q: How can I get location information indoors? A: Because GPS signals don’t reach indoors, use Bluetooth beacons or Wi‑Fi. Install transmitters indoors in advance and let the smartphone detect their signals to estimate position. There are also simple methods like integrating distance and direction from smartphone sensors or manually checking in on a map to register points. Recently, indoor positioning systems using UWB (ultra-wideband) or AR technology have emerged, and you can choose the approach that fits the site.

Q: Are there privacy issues with data collection? A: When recording employees’ or visitors’ movement, privacy considerations are important. Treat collected data so individuals cannot be identified and use it only to understand overall movement trends. For staff analysis, explain the purpose in advance and obtain understanding; for customer location data, analyze only anonymized data obtained with consent. With proper operation, you can derive useful insights without violating privacy.

Q: Is path analysis effective even at small sites? A: Yes. Path analysis is effective even in small workplaces or stores. Even with few people, reviewing each person’s movement can eliminate inefficient routes. Being small often makes it easier to implement layout changes. Try collecting path data in a familiar area and see how much a slight rearrangement affects efficiency. Such incremental improvements lead to higher productivity.

Q: What is LRTK? A: LRTK is a solution for high-precision positioning and 3D scanning with a smartphone. It consists of a small device that attaches to a smartphone and a dedicated app, using RTK-GNSS technology to measure position coordinates with accuracy on the order of a few centimeters (a few in). It is designed so that even complex sites can be surveyed with just an iPhone, and the acquired point-cloud data can be used to measure distances and areas or overlay design drawings in AR. It’s designed for non-specialists and supports quick on-site measurement and sharing.