  In this paper, a novel transport planning model system (TPMS) is formulated
which is built on the concepts of supernetworks, multi-modality, integrity and
calibration. In the proposed formulation, activity travel pattern (ATP) choice
facets including the choices of activity, activity sequence, mode, departure
time, and parking location, are all unified into a time-dependent supernetwork.
The proposed model accounts for the dynamicity of the network, including
time-of-day and congestion effects. These help capturing the interdependencies
among all different attributes of a full transport planning system. Moreover,
the proposed TPMS explicitly formulates an operating capacitated public
transport system. To allow visiting locations multiple times and to alleviate
the complexity of the proposed supernetwork, a novel multi-visit vehicle
routing problem is proposed which does not enumerate the node and link visits.
In order to calibrate the model based on the major travel attributes of the
travel survey data, a set of splitting ratios are introduced to distribute
trips on the supernetwork. The model uses the splitting ratios to integrate the
supernetwork and the traffic assignment model in a unified TPMS structure. At
last, numerical examples are provided to demonstrate the advantages of the
proposed approach.
