Abstract
The objective of this work is to analyze the travel behavior of industry and commerce sector workers in terms of three variables groups: activity participation, socioeconomic characteristics and land use. This work is based on the Origin-Destination survey carried out in the São Paulo Metropolitan Area (SPMA) in 1997. Relationships were found between the concerned variables (Decision Tree), and the statistical significance of independent variables was assessed (Multiple Linear Regression). We analyzed the influence of the three variables groups on travel pattern choices: (A) socioeconomic variables (Household Income, Transit Pass Ownership and Car-ownership) affect the travel mode sequence; (B) activity participation (Study, Work) has an effect on the trip purpose sequence; and (C) land use variables (accumulated proportion of jobs by distance buffers starting from the home traffic zone centroid) influence the sequence of destinations chosen, especially in the case of industry sector workers. The different spatial distributions of economic activities (commercial and industrial) in the urban environment influence the travel of workers. This paper contributes essentially proposing the land use variable, through the intervening opportunities model as well as the presentation of a methodology, formed by application of exploratory and confirmatory techniques of multivariate data analysis.
Highlights
The objective of this work is to find relationships between travel patterns and the three independent variable groups mentioned before: (A) activity participation; (B) socioeconomic characteristics; and (C) environmental factors considering groups of individuals characterized as either industry or commerce sector workers.People generate complex urban travel patterns while engaging in out-of-home activities, which vary based on individual characteristics, household attributes and environmental characteristics
Considering the differences in the geographic distribution of jobs in the São Paulo Metropolitan Area (SPMA) and the research hypotheses that the different spatial distributions of economic activities in the urban environment influence the travel of commerce or industry sector workers, two sub-samples were identified: (a) industry sector workers and (b) commerce sector workers
This research confirmed two main hypotheses: (1) it is possible to find relationships between urban travel patterns and socioeconomic characteristics, land use and out-of-home activity participation; and (2) the different spatial distributions of economic activities in the urban environment influence the travel of commerce or industry sector workers
Summary
The objective of this work is to find relationships between travel patterns (dependent variable) and the three independent variable groups mentioned before: (A) activity participation; (B) socioeconomic characteristics; and (C) environmental factors (distribution and degree of activities, defined as land use variables) considering groups of individuals characterized as either industry or commerce sector workers. The locations where people live or work exert strong influence over urban trips Environmental factors, such as road infrastructure networking, urban configuration, localization of activity centers in the cities, density and land use influence travel behavior. Environmental factors (land use variables) are defined as the spatial distribution and degree of activity for each economic sector (industry and commerce).
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