  In the literature on spatial point processes, there is an emerging challenge
in studying marked point processes with points being labelled by functions. In
this paper, we focus on point processes living on linear networks and, from
distinct points of view, propose several marked summary characteristics that
are of great use in studying the average association and dispersion of the
function-valued marks. Through a simulation study, we evaluate the performance
of our proposed marked summary characteristics, both when marks are independent
and when some sort of spatial dependence is evident among them. Finally, we
employ our proposed mark summary characteristics to study the spatial structure
of urban cycling profiles in Vancouver, Canada.
