  Modelling and simulation of mixed-traffic zones is an important tool for
transportation planners to assess safety, efficiency, and human-friendliness of
future urban areas. This paper addresses problems of calibration and
transferability of existing shared space models when applied to scenarios that
differ in terms of cultural aspects, traffic conditions, and spatial layout. In
particular, the first contribution of this work is an enhancement of the
Game-Theoretic Social Force Model (GSFM) by a generic methodology for largely
automated model calibration; we illustrate the use of the calibration method
for a shared space environment in Germany. The second contribution is an
investigation into transferability of shared space models. We define criteria
for model transferability and present a case study, in which we analyse and
evaluate transferability of the model we constructed based on the ``German
dataset'' to a different shared space environment from China. Our results
indicate that although -- as to be expected -- the model faces difficulties to
replicate the movement behaviours of road users from a new environment, by
adding social norms (derived through analysis) of that environment to our
model, satisfactory improvement of model accuracy can be obtained with limited
effort.
