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Linking activity participation, socioeconomic characteristics, land use and travel patterns: a comparison of industry and commerce sector workers

机译:将活动参与,社会经济特征,土地使用和出行方式联系起来:工商业工人的比较

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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 S?o 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.
机译:这项工作的目的是根据三个变量组来分析工商业工人的旅行行为:活动参与,社会经济特征和土地使用。这项工作是基于1997年在圣保罗大都会地区(SPMA)进行的原产地调查。发现相关变量(决策树)之间的关系,并评估了自变量的统计意义(多元线性回归)。我们分析了三个变量组对出行方式选择的影响:(A)社会经济变量(家庭收入,过境通行证所有权和汽车拥有权)影响出行方式序列; (B)活动参与(学习,工作)对旅行目的顺序有影响; (C)土地使用变量(从家庭交通区域质心开始的距离缓冲区所累积的工作比例)会影响所选择的目的地顺序,尤其是在工业部门工人的情况下。城市环境中经济活动(商业和工业)的不同空间分布影响着工人的出行。本文通过介入机会模型以及通过运用多元数据分析的探索性和确认性技术形成的一种方法论,从本质上提出了土地利用变量。

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