Open AccessEstimation of Travel Mode Choice Using Geostatistics: a Brazilian Case Study
Author(s) -
Anabele Lindner,
Cira Souza Pitombo,
Lucas Assirati,
Jorge Ubirajara Pedreira,
Ana Rita Salgueiro
Publication year - 2021
Publication title -
rbc. revista brasileira de cartografia/revista brasileira de cartografia
Language(s) - English
Resource type - Journals
eISSN - 1808-0936
pISSN - 0560-4613
DOI - 10.14393/rbcv73n1-54210
Subject(s) - metropolitan area , estimation , socioeconomic status , geostatistics , explanatory power , mode (computer interface) , travel behavior , econometrics , geography , spatial analysis , computer science , regional science , transport engineering , statistics , spatial variability , mathematics , economics , engineering , remote sensing , population , philosophy , demography , management , archaeology , epistemology , sociology , operating system
Traditional methods for travel demand estimation are often built on socioeconomic and travel information. The information required to conduct such studies is costly and rarely available in developing countries. Besides, some conventional methods do not consider the spatial relationship of variables and, in general, a large amount of socioeconomic and individual travel data is required. The key aim of this paper is to evaluate the importance of considering spatial information when estimating travel mode choices especially considering the lack of available data. The study area is the São Paulo Metropolitan Area (Brazil) and the dataset refers to an Origin-Destination Survey, conducted in 2007. This research paper analyzes the use of Geostatistics when estimating discrete travel mode choices. The results demonstrated a satisfactory outcome for the geostatistical approach. Finally, although socioeconomic and travel variables have greater explanatory power in predicting travel mode choices, spatial factors contribute to better understand the travel behavior and to provide further information when estimating spatially correlated data.