Smartphone × Location Data for Path Analysis: Easy On-Site Optimization Anyone Can Use

Table of Contents

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

• How smartphones acquire location information

• Visualization and analysis of path data

• Benefits of on-site optimization brought by path analysis

• Use cases for path analysis

• Key points and precautions when introducing it

• 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) taken by people or objects as data, and visualizing on-site movement. On-site, workers, customers, and others move in various ways every day; by understanding the trajectories of those movements, you can find hints for improving efficiency. For example, you can capture data on how far or how long a worker moved, or which locations had long stays. This makes it possible to discover points that help with layout improvements and revising path planning, such as "is there unnecessary travel on frequently used routes?" or "are materials or products placed appropriately?"

Traditionally, understanding on-site movement relied on manual observation or reviewing video footage, which required enormous effort. Decisions often had to rely on intuition, making oversights common. By adopting path analysis, you can visualize these on-site "movements" as objective data. Because improvements can be driven by data rather than just experience and intuition, path analysis has attracted attention as part of recent on-site DX (digital transformation). While user behavior analysis is already commonplace in e-commerce, initiatives to utilize human movement data in real-world sites are only now becoming full-scale. As path analysis spreads, a wave of data-driven improvements is beginning to reach physical worksites as well.

How smartphones acquire location information

Modern smartphones are equipped with high-performance location acquisition functions that greatly support data collection for path analysis. Outdoors, satellite positioning (GNSS), including GPS, allows a smartphone alone to determine its current position with accuracy on the order of several meters (several ft). Moreover, recent technologies support high-precision satellite positioning methods called RTK, enabling precise position measurements at the centimeter level (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 becoming readily achievable on smartphones.

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

Because nearly everyone now has a smartphone, many sites can collect location data by using workers’ own devices, making it attractive that you can start without introducing dedicated equipment.

Visualization and analysis of path data

From the location data collected by smartphones, actual paths are visualized and analyzed. Specifically, recorded movement histories are overlaid on site maps or floor plans to display which routes were taken as drawn lines, or to color-code areas with long dwell times as heat maps. This makes it easy to grasp patterns of on-site "movement" at a glance. For example, graphing the total distance or time a worker moved in a day allows quantitative evaluation of task efficiency. By overlaying multiple people’s paths, you can discover commonly congested areas or blind spots where no one passes through.

In path data analysis, it is important to verify hypotheses you set in advance. If site personnel feel based on intuition or experience that "there may be a lot of unnecessary movement here," check whether the data backs that up. If the data supports the hypothesis, that area becomes a priority for improvement. If movement differs from expectations, that unexpected pattern becomes a new finding to investigate further. After implementing improvements such as layout changes or revising paths based on insights from analysis, measure and analyze again. Comparing data before and after improvements lets you quantitatively evaluate the effectiveness of measures. By repeating this cycle (measure → analyze → improve → remeasure), continuous on-site optimization can be achieved.

Benefits of on-site optimization brought by path analysis

Utilizing the insights and data gained from path analysis can lead to numerous benefits that improve on-site productivity. First, it reduces waste in work. If unnecessary back-and-forth or detours are found, shortening travel distances through layout changes or rearranging items can reduce lost work time. As a result, the same tasks can be completed in less time, improving operational efficiency. This helps get more done with limited personnel amid labor shortages.

Second, on-site safety can be improved. If path data reveals intersection points between people and vehicles like forklifts, it can guide safety measures such as revising placements of protective barriers or establishing one-way routes. Visualizing hazardous spots with data makes it easier for staff to share awareness of risks. Also, by enabling objective views of on-site conditions through path analysis, you may be prompted to reconsider business processes themselves—asking questions like "why is this movement necessary?" Ultimately, this leads to workflow improvements and optimized staffing, enhancing overall on-site management capabilities.

Path analysis also helps reduce worker burden and improve motivation. Reducing unnecessary movement eases physical fatigue and makes it easier to concentrate on tasks. Furthermore, because the rationale for improvements is shown with data, on-site staff are more likely to cooperate with a sense of consensus. Path analysis fosters sharing of issues across the site and becomes an opportunity for team-wide improvement efforts.

In addition, there are ripple effects on customer satisfaction and revenue. Analyzing visitor paths in stores or facilities enables measures to reduce congestion and improve circulation. Providing comfortable routes improves customer experience and can lead to increased sales and repeat visits. In this way, path analysis contributes to comprehensive optimization of efficiency, safety, and service quality at on-site locations.

Use cases for path analysis

Path analysis is being utilized across many industries and sites. Below are representative use cases.

• Manufacturing and logistics sites: In factories and warehouses, analyzing workers’ and forklifts’ paths enables revising parts storage and workstation layouts to reduce unnecessary movement. For example, relocating frequently used materials closer to work areas significantly shortened travel distances and improved work efficiency. It is also possible to monitor entry into hazardous areas and use that information to improve safety measures.

• Construction sites: In building and civil engineering sites, tracking heavy equipment routes and workers’ patrol routes has been used to optimize layouts and path planning. By using data to identify where congestion or waste occurs on a large site, you can reduce travel time and improve both efficiency and safety by adjusting temporary material placements and passageways.

• Stores and commercial facilities: Large retailers and shopping malls have analyzed in-store visitor paths to improve merchandise placement and guidance. Some report that redesigning layouts to encourage circulation increased stop-by and purchase rates. Facilities that monitor congestion in real time and reflect it in staffing and guidance have also reduced wait times and improved service.

• Events and theme parks: Event venues and theme parks analyze visitor flows in real time to mitigate congestion. Using smartphone app location data to detect crowded areas in advance, organizers can change guidance routes or increase staff where people tend to gather, reducing visitor stress and ensuring safety. Providing smooth paths directly contributes to higher attendee satisfaction.

Key points and precautions when introducing it

When introducing path analysis on site, there are several key points to keep in mind.

• Clarify the objective: First, be clear about what you want to improve with path analysis. Whether the goal is to reduce travel distance or to relieve congestion in specific areas, sharing the problem awareness helps focus data collection and analysis effectively.

• Choose appropriate technology: Select the location acquisition method according to the site environment and required accuracy. For large outdoor sites, leverage smartphone GPS and consider combining RTK-compatible devices if higher accuracy is needed. Indoors, install BLE beacons or use existing Wi‑Fi infrastructure. Balance cost and installation effort, and choose technology that can be introduced without undue difficulty.

• Consider privacy: Tracking people’s 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 purpose is not individual surveillance. For third parties such as visitors, handle data as anonymized statistical information, or use only location data from users who have given prior consent. Privacy-conscious operation is essential.

• Establish a data utilization framework: Collecting location data alone is useless without a system to analyze and utilize it. Software and cloud services for visualizing and analyzing path data are effective. There are tools that non-experts can use, so set up a system that allows on-site personnel to check results themselves.

• Start small: Rather than applying it to the entire site at once, begin with a limited area or trial period. A small start enables low-cost, low-risk validation, and results can help gain internal buy-in. Gradually expanding the scope makes it easier to drive site-wide DX.

• Continuous improvement: Path analysis is not a one-time implementation; continuously collect data and repeat improvements. It is rare that a layout change solves everything, so regularly review path data to check for new issues. Keeping the PDCA cycle running maintains and improves optimization levels on site.

Simple surveying with a smartphone: using LRTK

While advancing on-site improvements with path analysis, another smartphone technique worth knowing is "simple surveying." Improving site layout requires accurate measurements and spatial relationships, which traditionally needed surveying expertise and equipment. Now there are solutions that let you easily survey with a smartphone.

LRTK is one example of an innovative tool that turns a smartphone into a high-precision surveying device. By attaching a slim dedicated GNSS receiver to a smartphone and using a dedicated app, satellite positioning data can be corrected in real time to measure current position within an error margin of several centimeters (a few in). This enables quick acquisition of reference point coordinates across large outdoor sites and accurate measurement of heights and distances at points. Combining the smartphone camera for scanning the surroundings, you can obtain 3D point cloud data to record detailed terrain and structure shapes. On acquired data, you can measure lengths, areas, and volumes or compare with design data on plans, all on the smartphone.

Tasks that used to require professional surveyors can be handled on site by personnel themselves using LRTK. For example, if path analysis suggests "moving this machine to a different spot in the factory would be more efficient," you can use LRTK to accurately measure candidate space dimensions or mark coordinate positions for machine installation, rapidly turning layout change plans into concrete actions. LRTK requires no difficult setup or adjustments; with just a smartphone and an LRTK device, you can quickly measure and verify on site. This truly "anyone can use" simple surveying expands the possibilities for on-site optimization.

Conclusion

Path analysis using smartphones and location data is a powerful method that enables site efficiency improvements without requiring specialized knowledge. By visualizing and analyzing human movement as data, you can discover previously unnoticed waste and opportunities and optimize sites with a scientific approach. Because smartphones are familiar devices, barriers to introduction are low, and the approach can be applied to sites of any industry or scale depending on your ideas.

With increasing needs for labor efficiency and productivity, attention is growing on such data-driven improvement methods. Start small with the smartphones at hand, experience the effects, and then move toward full-scale on-site DX. Combining advanced tools like LRTK makes it increasingly possible to handle surveying through analysis entirely on a smartphone. As an "easy on-site optimization anyone can use," try implementing path analysis using smartphones and location data to unlock your site’s potential.

FAQ

Q: What is path analysis? A: It is the recording of movement routes of people or vehicles as data, and visualizing and analyzing them. It refers to methods that visualize "how people move on site" to inform efficiency and layout improvements.

Q: What do I need to start path analysis? A: Basically, a smartphone with GPS is sufficient to start. Install a dedicated app on the smartphone to record location information and analyze that data. If higher precision is needed, consider combining a high-precision GNSS receiver (RTK-compatible device) attachable to the smartphone or indoor beacon devices. It is also effective to prepare software or services to analyze and display the collected data.

Q: How can I get location information indoors? A: Because GPS signals do not reach indoors, use Bluetooth beacons or Wi‑Fi. Install transmitters indoors in advance and let the smartphone detect their signals to estimate location. There are also simple methods like integrating smartphone sensor data for distance and direction or manually checking in on a map to register points. Recently, high-precision indoor positioning systems using UWB (ultra-wideband) or AR technology have appeared, and these can be used according to site conditions.

Q: Are there privacy issues with data collection? A: When recording employees’ or visitors’ movement, privacy considerations are important. Handle collected data in a way that does not identify individuals and use it solely to understand overall movement trends. For employee path analysis, explain the purpose in advance and obtain understanding; for customer location data, obtain consent and analyze only anonymized data. With appropriate operation, you can gain useful insights without violating privacy.

Q: Is it effective even in small sites? A: Yes. Path analysis is effective even in small workplaces or stores. Reviewing each person’s movement can eliminate wasted workflows. Smaller sites are often advantageous because layout changes are easier to implement. Try collecting path data in a familiar, limited area first to feel how much efficiency can change with small rearrangements. Those accumulated improvements lead to increased 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 the phone and a dedicated app, using RTK‑GNSS technology to measure position coordinates with an accuracy of a few cm (a few in). It is designed so that surveying can be completed with just an iPhone even in complex sites, and the acquired point cloud data can be used to measure distances and areas or overlay design information in AR. It is made to be usable by non-experts and supports rapid on-site measurement and sharing.