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首页> 外文期刊>Transportation Research Record >Relationship Between Occupational, Industrial, and Sociodemographic Characteristics and Job Start Times: Evidence from Current Population Survey
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Relationship Between Occupational, Industrial, and Sociodemographic Characteristics and Job Start Times: Evidence from Current Population Survey

机译：职业，工业和社会人口统计学特征与工作开始时间之间的关系：来自当前人口调查的证据

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摘要

The journey to work has been extensively studied. The majority of travel, however, takes place outside that context. The concept of time use as applied to travel behavior has developed with the understanding that travel occurs in relation to the spatial separation of activities and according to the needs and constraints imposed on travelers by their time schedules, sociodemographic characteristics, and network characteristics. The statistical methodology used to elucidate the underlying motivations affecting travel to evening shopping activities, a largely unstudied area of travel behavior, is described. Methods of testing for selectivity bias and endogeneity are also described and applied. Corrective measures are taken and explained, including instrumental variables and system methods of regression. Travel time and activity duration are found to be endogenous and positively correlated. Travel time increases with greater vehicle ownership, duration of preceding work activity, transit use, and duration of free time preceding the trip. Travel time decreases for trips that start later in the evening and later in the week and with increased destination-node density. For teenagers aged 15 to 17, activity duration increases with number of passengers when preceded by longer shopping activities. Activity duration decreases with greater percentages of high-rent housing in the census tract, with household size, with number of workday trips, and for men.
机译：上班的途经已被广泛研究。但是，大多数旅行是在这种情况之外进行的。时间使用的概念被应用到出行行为中，是基于以下认识而发展的：出行与活动的空间分隔有关，并根据其时间表，社会人口统计学特征和网络特征对旅行者的需求和约束而发生。描述了用于阐明影响晚上购物活动出行的基本动机的统计方法，这是人们对出行行为的主要研究领域。还描述和应用了选择性偏差和内生性的测试方法。采取并说明了纠正措施，包括仪器变量和回归系统方法。发现旅行时间和活动持续时间是内生的，并且是正相关的。出行时间随着车辆拥有量，前工作时间，公交使用时间以及出行前空闲时间的增加而增加。对于在傍晚和一周中晚开始且目的地节点密度增加的旅行，旅行时间减少。对于15至17岁的青少年，在进行较长时间的购物活动之前，活动时间会随着乘客人数的增加而增加。随着人口普查中高租金住房比例的增加，家庭人数的增加，工作日的出行次数的增加以及男性的参与，活动持续时间的减少。

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