Time, Spatial, and Descriptive Features of Pedestrian Tracks on Set of Visualizations

Wielebski, Łukasz; Medyńska-Gulij, Beata; Halik, Łukasz; Dickmann, Frank · 2020 · DOAJ

DOI: 10.3390/ijgi9060348

archive: archived pipeline: cataloged verified

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Summary

This study evaluates the effectiveness of multiperspective cartographic visualizations for analyzing pedestrian spatial behavior in urban environments. The research addresses the complexity of pedestrian movement, which is influenced by cognitive maps, individual preferences, and environmental factors. The primary objective was to determine the usefulness of a set of complementary static visualizations in interpreting specific behavioral features, including trajectory geometry, topographical truth, track length, visibility, walking time, motivation, speed, stops, spatial context, and trajectory similarity. The researchers conducted a field experiment in Poznań, Poland, involving 30 geography master students who were familiar with the city center. Participants walked from the main railway station to the town hall using freely chosen routes. Movement data were recorded using GPS receivers sampling positions every 15 seconds, while participants completed a questionnaire regarding their route selection motivations (e.g., shortest distance, habits, interesting objects, traffic signals, or smartphone maps). The raw GPS data underwent cleaning to remove errors and were enriched with attribute data. The authors developed six complementary visualization methods: a map with non-symbolized trajectories, a topographic map with trajectories, a schematic map, a route graph, route miniatures, and a space–time cube. To ensure consistency across these visualizations, a specific set of 30 distinguishable colors was assigned to each participant’s route based on trajectory similarity. The results demonstrate that each visualization method offers distinct advantages and limitations for analyzing pedestrian behavior. The map with non-symbolized trajectories provides a raw view of frequented streets but fails to distinguish individual tracks due to overlapping lines. The topographic map offers accurate spatial context and distance estimation but suffers from reduced visibility as the number of tracks increases, causing colors to merge with the base map. Route miniatures were identified as the most effective method for comparing the actual geometry of all routes, as they present each trajectory in a standardized scale within separate boxes. The study highlights that no single visualization fully captures all behavioral features; rather, the set of complementary visualizations allows for a more comprehensive analysis by linking different perspectives. The significance of this work lies in its contribution to geovisualization and cartography by proposing a structured approach to analyzing individual pedestrian trajectories. By utilizing complementary static visualizations, researchers can better interpret the relationship between pedestrian intentions and actual movement patterns. The study concludes that combining multiple visualization methods enhances the ability to analyze spatial behavior, offering a robust framework for future research in urban mobility and spatial cognition.

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• pedestrian behavior perception