论文标题
与行程链的多余通勤建模和分析
Modeling and Analysis of Excess Commuting with Trip Chains
论文作者
论文摘要
与其他类型的人类旅行一样，通勤本质上是复杂的，例如，链接行为涉及在两个锚点之间停止多种用途。根据2001年全国家庭旅行调查，大约一个工作日的美国工人在上下班时停止了。然而，在检查一个地区总通勤效率的过多通勤研究中，通勤被简化为从不停地从家到工作的不间断旅行。这项研究通过提出一个基于链路的模型来将旅行链条行为整合到过度通勤中，从而填补了这一空白。基于对佛罗里达州坦帕湾地区的案例研究，这项研究发现，传统的过量通勤研究低估了实际和最佳通勤，同时高估了过度通勤。例如，对于仅链式通勤旅行，从5.48分钟到9.32分钟，链接链接的平均最小通勤时间增加了70％。发现这些差距通过链活动类型进行分类分析，在链接类型的类型中有所不同。因此，警告政策制定者和规划师在制定城市运输和土地利用政策时省略了束缚行为的行为。此外，可以采用拟议的模型来研究非工作旅行的效率。
Commuting, like other types of human travel, is complex in nature, such as trip-chaining behavior involving making stops of multiple purposes between two anchors. According to the 2001 National Household Travel Survey, about one half of weekday U.S. workers made a stop during their commute. In excess commuting studies that examine a region's overall commuting efficiency, commuting is, however, simplified as nonstop travel from homes to jobs. This research fills this gap by proposing a trip-chaining-based model to integrate trip-chaining behavior into excess commuting. Based on a case study of the Tampa Bay region of Florida, this research finds that traditional excess commuting studies underestimate both actual and optimal commute, while overestimate excess commuting. For chained commuting trips alone, for example, the mean minimum commute time is increased by 70 percent from 5.48 minutes to 9.32 minutes after trip-chaining is accounted for. The gaps are found to vary across trip-chaining types by a disaggregate analysis by types of chain activities. Hence, policymakers and planners are cautioned of omitting trip-chaining behavior in making urban transportation and land use policies. In addition, the proposed model can be adopted to study the efficiency of non-work travel.
