Process / pipelineTourismTourism geography / visitor mobility analysisPipeline

Tourist GPS Tracking

Also known as: GPS Visitor Tracking, Tourist Movement Tracking, Spatio-Temporal Visitor Tracking, Advanced Tracking of Tourist Mobility

OriginatorNoam Shoval & Michal IsaacsonYear2007Sources3Related methods5

Tourist GPS tracking is a spatio-temporal research pipeline that records where and when visitors move within a destination by equipping consenting tourists with GPS loggers or smartphone trackers and then reconstructing their trajectories. Introduced into mainstream tourism research by Noam Shoval and Michal Isaacson, whose 2007 Annals of Tourism Research paper laid out both the data-collection methodology and the analytic toolkit, the approach replaced unreliable recall-based diaries with continuous, objective position fixes. Their 2010 book consolidated the field, and McKercher and Lau showed how the recovered trajectories reveal a rich typology of movement patterns within a destination. The method couples careful field deployment with trajectory cleaning, stop-and-move segmentation, and spatial aggregation to map the geography and rhythm of visitor activity.

Key highlights

  • Captures objective, high-resolution spatial and temporal data on actual movement, eliminating the recall error and rounding of travel diaries.
  • Reveals dwell times, route choices, and crowding rhythms that are invisible to survey methods, enabling fine-grained density mapping.
  • Supports a clean analytic pipeline from raw fixes to stop-and-move segmentation to aggregated hotspot surfaces.
  • Uncovers a structured typology of movement patterns within destinations rather than treating visitor flows as undifferentiated.

Intuition

This section is available to Pro members. Upgrade to Pro

How it works

This section is available to Pro members. Upgrade to Pro

When to use it

Use tourist GPS tracking when you need accurate, fine-grained data on where and when visitors actually move within a destination, attraction, park, or urban area, and when recall-based methods would be too coarse or biased. It is well suited to studying dwell times, route choice, the concentration and dispersal of visitors, and the temporal rhythm of crowding, and it underpins applications in congestion management, signage and itinerary design, and carrying-capacity assessment. The method requires the ability to recruit and equip a representative sample, obtain informed consent, and invest in data cleaning and trajectory processing. It is less appropriate where sample sizes must be very large at low cost, where indoor or canyoned environments degrade GPS signal severely, or where the research question concerns motivations and meanings rather than observable movement, for which interview-based methods remain better.

Strengths & limitations

Strengths
  • Captures objective, high-resolution spatial and temporal data on actual movement, eliminating the recall error and rounding of travel diaries.
  • Reveals dwell times, route choices, and crowding rhythms that are invisible to survey methods, enabling fine-grained density mapping.
  • Supports a clean analytic pipeline from raw fixes to stop-and-move segmentation to aggregated hotspot surfaces.
  • Uncovers a structured typology of movement patterns within destinations rather than treating visitor flows as undifferentiated.
Limitations
  • GPS signal degrades or drops indoors, in tunnels, and among tall buildings, biasing coverage toward open outdoor space.
  • Recruiting and equipping a representative sample is logistically demanding and can introduce self-selection bias.
  • Trajectories record where people go but not why, so motivations and experiences must be inferred or gathered separately.
  • Data cleaning, segmentation, and storage of detailed location data demand technical effort and raise privacy and consent obligations.

Common pitfalls

This section is available to Pro members. Upgrade to Pro

Applications

This section is available to Pro members. Upgrade to Pro

Frequently asked

Why use GPS tracking instead of asking tourists where they went?

Because human recall of movement is systematically inaccurate. Visitors forget minor stops, misremember the order of places, compress time, and overstate famous landmarks. Shoval and Isaacson introduced GPS tracking precisely to replace this unreliable recall with continuous, objective position fixes recorded every few seconds. The result is a precise spatio-temporal record of where people actually went and how long they stayed, supporting measures of dwell time, route choice, and crowding that no questionnaire can deliver at comparable resolution.

How are raw GPS trajectories turned into usable information?

Through a defined pipeline. Raw fixes are first cleaned to remove signal drift and physically impossible jumps. The cleaned trajectory is then segmented into stops, where the tourist is roughly stationary for a minimum dwell time, and moves connecting them, converting a coordinate stream into an interpretable sequence of activities and trips. Individual trajectories are aggregated, often via kernel density estimation, into intensity surfaces that reveal hotspots and can be sliced by time of day. Finally, segmented trajectories are classified into movement patterns following the typology logic of McKercher and Lau.

What are the main limitations of GPS tracking of tourists?

GPS signal degrades indoors and among tall buildings, so coverage is biased toward open outdoor environments. Recruiting and equipping a representative sample is costly and prone to self-selection. The data show where people go but not why, so motivations require separate interviews or surveys. And because individual location traces are highly sensitive, the method carries serious informed-consent and data-protection obligations. Careful cleaning, validated stop-detection thresholds, and honest acknowledgement of sample limits are needed to keep conclusions sound.

Sources

  1. 1.
    Shoval, N., & Isaacson, M. (2007). Tracking tourists in the digital age. Annals of Tourism Research, 34(1), 141-159.
  2. 2.
    Shoval, N., & Isaacson, M. (2010). Tourist Mobility and Advanced Tracking Technologies. Routledge.
    ISBN 9780415963527
  3. 3.
    McKercher, B., & Lau, G. (2008). Movement Patterns of Tourists within a Destination. Tourism Geographies, 10(3), 355-374.

You have read it. What now?

Cite this page

ScholarGate. (2026, June 23). Tourist GPS Tracking. ScholarGate. https://scholargate.app/tourism/tourist-gps-tracking