  The analysis of pedestrian GPS datasets is fundamental to further advance on
the study and the design of walkable cities. The highest resolution GPS data
can characterize micro-mobility patterns and pedestrians' micro-motives in
relation to a small-scale urban context. Purposed-based recurrent mobility data
inside people's neighborhoods is an important source in these sorts of studies.
However, micro-mobility around people's homes is generally unavailable, and if
data exists, it is generally not shareable often due to privacy issues. Citizen
science and its public involvement practices in scientific research are valid
options to circumvent these challenges and provide meaningful datasets for
walkable cities. The study presents GPS records from single-day home-to-school
pedestrian mobility of 10 schools in the Barcelona Metropolitan area (Spain).
The research provides pedestrian mobility from an age-homogeneous group of
people. The study shares processed records with specific filtering, cleaning,
and interpolation procedures that can facilitate and accelerate data usage.
Citizen science practices during the whole research process are reported to
offer a complete perspective of the data collected.
