  The ubiquitous use of mobile devices and associated Internet services
generates vast volumes of geolocated data, offering valuable insights into
human behaviors and their interactions with urban environments. Over the past
decade, mobile phone data have proven indispensable in various fields such as
demography, geography, transport planning, and epidemiology. They enable
researchers to examine human mobility patterns on unprecedented scales and
analyze the spatial structure and function of cities. The relationship between
mobile phone data and land use has also been extensively explored, particularly
in inferring land use patterns from spatiotemporal activity. However, many
studies rely on Call Detail Records (CDR) or eXtended Detail Records (XDR),
which may not capture specific mobile application usage. This study aims to
address this gap by mapping mobile service usage diversity in 20 French cities
and investigating its correlation with land use distribution. Utilizing a
Shannon diversity index, the study evaluates mobile service usage diversity
based on hourly traffic volume data from 17 mobile services. Furthermore, the
study compares temporal diversity with land distribution both within and among
cities.
