This paper aims to compare the results of two techniques of Kriging (Ordinary Kriging and
Indicator Kriging) that are applied to estimate the Private Motorized (PM) travel mode use …

Conventional analysis of transportation demand is usually carried out using socioeconomic,
travel, and land use attributes. Despite the effectiveness on travel demand forecasting, it is …

Transport planning depends on modeling variables, and because their collection usually
requires high resources, they have limited sampling. However, since they are spatially …

Individuals choose the travel mode considering their own characteristics, those of the
journey and the transport systems. Despite the current wide availability of georeferenced …

Studies in transportation planning routinely use data in which location attributes are an
important source of information. Thus, using spatial attributes in urban travel forecasting …

Travel demand models have been developed and refined over the years to consider a
characteristic normally found in travel data: spatial autocorrelation. Another important feature …

The main objective of this study is to propose a sequential method for spatial interpolation of
mode choice for household locations where choices are unobserved based on Decision …

Using spatial statistics techniques is a way to improve the forecast of travel demand
variables considering their spatial dependence. The semivariogram is a proper geostatistic …

Data on household travel patterns represent key information to the development of travel
demand models. The technology of Global Positioning Systems (GPS) may substitute or be …

How consumers acquire dynamic traveller information to adjust their travel behaviour is a
key component of Intelligent Transportation Systems (ITS). The association between …