  In urban cities, with increasing acceptability of shared spaces used by
pedestrians and personal mobility devices (PMDs), there is need for pragmatic
socially ac-ceptable path planning and navigation management policies. Hence,
we propose a socially acceptable global route planner and assess the legibility
of the resulting global route. Our approach proposed for choosing global route
avoids streets penetrating shared spaces and main routes with high probability
of dense usage. The experimental study shows that socially acceptable routes
can be effectively found with an average of 10 % increment of route length with
optimal hyperpa-rameters. This helps PMDs to reach the goal while taking a
socially acceptable and safe route with minimal interaction of different PMDs
and pedestrians. When PMDs interact with pedestrians and other types of PMDs in
shared spaces, mi-cro-mobility simulations are of prime usage for acceptable
and safe navigation policy. Social force models being state of the art for
pedestrian simulation are cal-ibrated for capturing random movements of
pedestrian behavior. Social force model with calibration can imitate the
required behavior of PMDs in a pedestrian mix navigation scheme. Based on
calibrated models, simulations on shared space links and gate structures are
performed to assist policies related to deciding wait-ing and stopping time.
Also, based on simulated PMDs interaction with pedestri-ans, location data with
finer resolution can be obtained if the resolution of GPS sensor is 0.2 m or
less. This will help in formalizing better modelling and hence better
micro-mobility policies.
