Inspite of the inherent weaknesses in aggregate demand models, they co
ntinue to be used in everyday applications, especially in developing c
ountries. The largely data intensive disaggregate model preclude its a
pplication in many cases. This paper attempts the formulation and cali
bration of an aggregate total demand model for estimating inter-distri
ct passenger travel by public transport in Sri Lanka. In its process,
an investigation is made of the common problems in the aggregate appro
ach while examining possible remedial measures to improve the accuracy
and (hence) the usability of the aggregate model. It is argued that c
ommonly used variables and functional forms are inappropriate for maki
ng accurate estimates in developing countries. Consequently, the model
calibration is shown to incorporate variables representing urbanisati
on, under-development, transfers, a mode-abstract cost function and in
trinsic features. The necessity for functional form for each variable
to be based on behavioral assumptions that are tested using the Box-Co
x transformation for ensuring the best fit of the data is also observe
d. Although, the model form was calibrated for Sri Lanka, the model is
generalised in order for its applications to other countries as well
as, both, inter-district and intercity travel demand estimation.