Análise da influência da vizinhança no comportamento individual relativo a viagens através de dados em painel

Abstract

Palavras-chave: Comportamento individual relativo a viagens. Coleta de dados passiva. Smartphones. Análise de Clusters. K-médias. Análise espacial. Indicadores globais. Geoestatística.

Modeling Spatial Effect on Travel Mode Choice Using a Synthetic Spatially Correlated Data Set

“…It constituted an essential contribution, taking into account the importance of representing spatial dependence through an independent variable. This stage followed the process proposed in previous study (Assirati, 2018).…”

“…For the comparison of the Binomial Logit models (spatial and non-spatial), three metrics will be used: The adjusted rho-square values; the Akaike criterion value; the hit rate by cross-validation and likelihood values for validation sample. Such metrics are well known, however, the reader who seeks more details can consult Hosmer and Lemeshow (2000) and Assirati (2018). Equation 9defines the adjusted rho-square metric.…”

“…Finally, the main contribution of this paper is related to a methodological demonstration on how to take into account the spatial characteristics of the data, along with the usual variables. Assirati (2018) applicated this methodology considering a real data and a trip-chaining study case regarding panel data collected by smartphones. This application corroborates that the methodological procedure is feasible to real data, with different urban configuration.…”

“…So, the spatial analysis of travel demand has become a potential line of research, especially given the requirement of including spatial effects on mathematical models (Páez et al 2013). Hence, many studies (Miyamoto et al, 2004;Zhou, 2012;Páez et al, 2013;Pitombo et al, 2015;Lindner and Pitombo, 2018;Assirati, 2018;Lindner et al, 2021) started to incorporate variables related to geographic location to travel demand forecasting studies, promoting the improvement of estimates. So, this paper mainly proposes to model the spatial effect on travel mode choice, taking into account the spatial analysis of the travel demand research field.…”

Classificação de indivíduos segundo comportamento individual relativo a viagens a partir de dados em painel obtidos por smartphones

“…A cidade abriga dúas grandes institúiço es de ensino súperior: A Universidade de Sa o Paúlo (USP) qúe conta com dois campi e a Universidade Federal de Sa o Carlos (UFSCar). Júntas, as institúiço es possúem cerca de 40 mil estúdantes o qúe representa aproximadamente 18% da popúlaça o do múnicí pio (Assirati, 2018).…”