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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Estimation of transit trip production using Factorial Kriging with External Drift: an aggregated data case study

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Author(s):
Lindner, Anabele ; Pitombo, Cira Souza ; Rocha, Samille Santos ; Quintanilha, Jose Alberto
Total Authors: 4
Document type: Journal article
Source: GEO-SPATIAL INFORMATION SCIENCE; v. 19, n. 4, p. 245-254, 2016.
Web of Science Citations: 1
Abstract

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 models seems reasonable. The main objective of this paper is to estimate transit trip production using Factorial Kriging with External Drift (FKED) through an aggregated data case study of Traffic Analysis Zones in Sao Paulo city, Brazil. The method consists of a sequential application of Principal Components Analysis (PCA) and Kriging with External Drift (KED). The traditional Linear Regression (LR) model was adopted with the aim of validating the proposed method. The results show that PCA summarizes and combines 23 socioeconomic variables using 4 components. The first component is introduced in KED, as secondary information, to estimate transit trip production by public transport in geographic coordinates where there is no prior knowledge of the values. Cross-validation for the FKED model presented high values of the correlation coefficient between estimated and observed values. Moreover, low error values were observed. The accuracy of the LR model was similar to FKED. However, the proposed method is able to map the transit trip production in several geographical coordinates of non-sampled values. (AU)

FAPESP's process: 13/25035-1 - Incorporation of kriging in modal choice models
Grantee:Cira Souza Pitombo
Support type: Regular Research Grants