Identificação e caracterização de grupos de indivíduos segundo padrões de seqüências de atividades multidimensionais. / Identification and characterization of groups of individuals according to patterns of multidimensional activity sequences.

AUTOR(ES)
DATA DE PUBLICAÇÃO

2009

RESUMO

The main objective of the dissertation is to identify homogeneous groups of individuals, with regard to the daily activity/travel sequences performed in a weekday. Activities are characterized by multiple attributes, thus generating mutidimensional seguences. In this study, the nature of the activity (travel purpose) and the starting period of engagement in the activity (ending time of a trip) were the dimensions considered in the characterization of activities. Access mode to the activity was also considered as a third dimension, but the results had led to the decision not to include it in the final analysis. Alternative categorizations of the activity nature dimension were also studied, that resulted in further disaggregation than adopted in previous analyses of the same data. The study used data from the 1997 Origin-Destination household survey of the Sao Paulo Metropolitan Area. The analysis considered all individuals aged 12 or over that conducted two or more trips (starting and ending at home) on the survey day, resulting in a sample of 49,616 individuals. A sequence alignment method - OT-MDSUM (uni-dimensional Optimum Trajectories-based MultiDimensional Sequence Alignment Method) - was used to compare and calculate distances between pairs of different activity/travel sequences. These distances were then fed into a Ward hierarchical clustering algorithm to create classes of groups of activity/travel patterns. These groups were then analyzed according to the characteristics of the activity/travel sequences included and to the sociodemographic and economic characteristics of individuals who performed these patterns. The data were then utilized to develop a decision tree model using CHAID - Chi-Squared Automatic Interaction Detector, having the group of activity/travel sequences as the response variable and the characteristics of individuals and their families as independent variables. The results indicate that the groups formed through this procedure present a good degree of homogeneity regarding the activity patterns they represent and that they can be clearly associated to the characteristics of the individuals which perform these patterns.

ASSUNTO(S)

activity sequences travel demand transport planning planejamento de transportes multidimensional sequence alignment

ACESSO AO ARTIGO

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