# Analysis of pedestrian behaviors through non-invasive Bluetooth monitoring

arXiv: https://arxiv.org/abs/1702.00546 · HTML: https://mlsanity.com/paper/1702.00546/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 2 Feb 2017.

## Built on by (most cited first, 1 of 1)

- [Pattern Ensembling for Spatial Trajectory Reconstruction](https://mlsanity.com/paper/2101.09844/) (2021)

## Abstract (arXiv)

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.