个人及社会经济因素对不同工作日居民出行行为影响研究

发布时间：2018-02-01 09:00

本文关键词： 非必须出行出行参与度出行时间二元probit 线性回归周中工作日　出处：《河北工业大学》2015年硕士论文　论文类型：学位论文

【摘要】：居民出行行为特征的变化一直是交通研究领域内的一个热点。虽然基于工作日和非工作日之间差异的研究已经有许多,但是基于工作日内,周一、周中和周五之间差异的研究还处于起步阶段。本文的研究旨在探讨不同工作日内居民出行行为的波动变化,同时体现对不同工作日出行模式建模分析的重要性。研究包括工作日内居民非必需出行特征的不规律性统计分析,重点强调周一、周五与周中(周二、周三、周四)居民出行特征的差异。文章单独针对一个种类的出行,即居民的社交出行(Social)进行具体研究。通过对数据进行一般性统计特征分析,作者阐明了不同工作日类别之间的主要差异。采用合适的数学方法,对统计中的显著变量进行处理。第二部分,本文运用计量经济学分析和建模方法,采用样本选择模型对数据库进行分析。建立二元Probit和线性回归模型,同时对两个主要参数,即出行参与度和出行时间进行优化计算。特别考虑了不同工作日类别对解释变量的交互效应。部分数据的模型结果显示,在增加工作日类型变量之后,模型结果出现了明显的交互效应。因此,证实了周一、周中和周五居民社交出行特征不同的假设,并且,证实了不同工作日居民社交出行特征的变化受到居民家庭及个人属性的影响。此研究结果能给相关部门在交通规划、制定交通政策时提供有价值的依据。本研究采用2009年美国家庭出行调查(NHTS)和2009年美国时间利用调查(ATUS)数据。
[Abstract]:The change of residents' travel behavior has been a hot topic in the field of traffic research. Although there have been many studies based on the differences between workdays and non-workdays, it is based on weekdays, Monday. The study of the difference between midweek and Friday is still in its infancy. The purpose of this study is to explore the fluctuation of residents' travel behavior during different working days. At the same time, it reflects the importance of modeling and analyzing the travel patterns of different working days. The study includes an irregular statistical analysis of the non-essential travel characteristics of residents during the working day, with emphasis on Monday, Friday and midweek (Tuesday, Wednesday). On Thursday, the differences in travel characteristics of residents. The article separately focused on one type of travel, namely, the social travel of residents. Through the analysis of the general statistical characteristics of the data. The author clarifies the main differences between different working day categories and uses appropriate mathematical methods to deal with significant variables in statistics. In the second part, econometrics analysis and modeling methods are used in this paper. The sample selection model is used to analyze the database. The binary Probit and linear regression models are established, and the two main parameters are given. That is, travel participation and travel time are optimized. In particular, the interaction of different working day categories on explanatory variables is considered. The results of some data model show that after the increase of workday type variables. The results of the model showed significant interaction. Therefore, the hypothesis of different social travel characteristics of residents on Monday, midweek and Friday was confirmed, and. It is confirmed that the changes in the characteristics of social travel of residents on different working days are influenced by the family and personal attributes of the residents. The results of this study can give the relevant departments in the traffic planning. This study uses data from the 2009 US Household Travel Survey (NHTS) and the 2009 U.S. time use Survey (ATUSS).
【学位授予单位】：河北工业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U491

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