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arXiv · 1702.00546

Analysis of pedestrian behaviors through non-invasive Bluetooth monitoring

Yuji Yoshimura·Alexander Amini·Stanislav Sobolevsky·Josep Blat·Carlo Ratti
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Abstract

This paper analyzes pedestrians' behavioral patterns in the pedestrianized shopping environment in the historical center of Barcelona, Spain. We employ a Bluetooth detection technique to capture a large-scale dataset of pedestrians' behavior over a one-month period, including during a key sales period. We focused on comparing particular behaviors before, during, and after the discount sales by analyzing this large-scale dataset, which is different but complementary to the conventionally used small-scale samples. Our results uncover pedestrians actively exploring a wider area of the district during a discount period compared to weekdays, giving rise to strong underlying mobility patterns.

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Yuji Yoshimura, Alexander Amini, Stanislav Sobolevsky, Josep Blat, Carlo Ratti. 2017-02-02. Analysis of pedestrian behaviors through non-invasive Bluetooth monitoring. https://arxiv.org/abs/1702.00546

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