  Location data obtained from smartphones is increasingly finding use cases in
disaster risk management. Where traditionally, CDR has provided the predominant
digital footprint for human mobility, GPS data now has immense potential in
terms of improved spatiotemporal accuracy, volume, availability, and
accessibility. GPS data has already proven invaluable in a range of pre- and
post-disaster use cases, such as quantifying displacement, measuring rates of
return and recovery, evaluating accessibility to critical resources, planning
for resilience. Despite its popularity and potential, however, the use of GPS
location data in DRM is still nascent, with several use cases yet to be
explored. In this paper, we consider the 2017 Puebla Earthquake in Mexico to
(i) validate and expand upon post-disaster analysis applications using GPS
data, and (ii) illustrate the use of a new toolkit, Mobilkit, to facilitate
scalable, replicable extensions of this work for a wide range of disasters,
including earthquakes, typhoons, flooding, and beyond.

Physics and Society