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 …

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 …

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 …

Urban dynamics can be characterized more effectively by considering spatial aspects in
studies. This paper, using a synthetic spatially correlated data set, aims to model the spatial …

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 …

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 …

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 …

Considering the importance of spatial issues in transport planning, the main objective of this
study was to analyze the results obtained from different approaches of spatial regression …