Estudos de relações entre variáveis socioeconômicas, de uso do solo, participação em atividades e padrões de viagens encadeadas urbanas / Study of relationships between socioeconomic, land use, activity participation variables and trip-chaining urban patterns

AUTOR(ES)
DATA DE PUBLICAÇÃO

2007

RESUMO

One of the most important topics in transportation demand is the relationship between individual needs to carry out geographically distributed activities, urban configuration, individual and household characteristics, transportation system and travel behavior. For that reason, the main aim of this work is to analyze the individual trip-chaining behavior in terms of three variables groups: (1) activity participation; (2) socioeconomic characteristics; and (3) land use. There are also two secondary objectives derived from the main objective: (a) to propose one set of land use variables; and (b) to verify the statistical significance of the created land use group variables. This work was based on the origin-destination survey carried out in the São Paulo metropolitan area in 1997, from which six final samples were extracted, analyzed and characterized by economic sector (for workers) and level of education (for students). Applying multivariate analysis techniques, confirmatory and exploratory, it was possible to represent the dependent variable (Cluster Analysis), as well as to find relationships between the concerned variables (Decision Tree) and, finally, to measure the statistical significance of the independent variables (Multiple Regression). From the results, it was possible to analyze the influence of the three variables groups on trip-chaining: (1) socioeconomic variables (household income, transit voucher use, probable number of driver licenses per household, age, car-ownership) affect the travel mode sequence used for the trips; (2) activity participation (study, work) has an effect on the trip purpose sequence; and (3) land use variables (accumulated proportion of jobs or schools by distance buffers starting from the residence zone centroid) influence the sequence of chosen destinations. It is expected that the present work could be a contribution to the scientific community for the representation of the activities level and their geographic distribution in the urban configuration (land use variables), and the influence of such variables on individuals displacements.

ASSUNTO(S)

multivariate analysis techniques técnicas de análise multivariadas analysis techniques socioeconomic characteristics travel patterns padrões de viagens participação em atividades variáveis de uso do solo características socioeconômicas modelagem de demanda activity participation land use variables demand modelling

ACESSO AO ARTIGO

Documentos Relacionados