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首页> 外文期刊>Transportation >How do people respond to congestion mitigation policies? A multivariate probit model of the individual consideration of three travel-related strategy bundles
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How do people respond to congestion mitigation policies? A multivariate probit model of the individual consideration of three travel-related strategy bundles

机译:人们如何应对缓解拥堵的政策?三种旅行相关策略组合的个体考虑的多元概率模型

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摘要

This study explores the relationships between adoption and consideration of three travel-related strategy bundles (travel maintaining/increasing, travel reducing, and major location/lifestyle change), linking them to a variety of explanatory variables. The data for this study are the responses to a fourteen-page survey returned by nearly 1,300 commuting workers living in three distinct San Francisco Bay area neighborhoods in May 1998. We first identified patterns of adoption and consideration among the bundles, using pairwise correlation tests. The test results indicate that those who have adopted coping strategies continue to seek for improvements across the spectrum of generalized cost, but perhaps most often repeating the consideration of a previously-adopted bundle. Furthermore, we developed a multivariate probit model for individuals' simultaneous consideration of the three bundles. It is found that in addition to the previous adoption of the bundles, qualitative and quantitative Mobility-related variables, Travel Attitudes, Personality, Lifestyle, Travel Liking, and Sociodemographics significantly affect individual consideration of the strategy bundles. Overall, the results of this study give policy makers and planners insight into understanding the dynamic nature of individuals' responses to travel-related strategies, as well as differences between the responses to congestion that are assumed by policy makers and those that are actually adopted by individuals.
机译:这项研究探讨了与旅行相关的三个策略捆绑(旅行保持/增加,旅行减少和主要位置/生活方式改变)的采用与考虑之间的关系,并将它们与各种解释变量联系起来。这项研究的数据是对1998年5月居住在三个不同的旧金山湾地区居民区的近1300名通勤工人返回的长达14页的调查的答复。我们首先使用成对相关性检验确定了捆绑方式中的采用和考虑方式。测试结果表明,那些已经采用应对策略的人正在寻求在广义成本范围内的改进,但也许最经常重复考虑以前采用的捆绑软件。此外,我们开发了一个多元概率模型,供个人同时考虑这三个捆绑。结果发现,除了先前采用的捆绑软件外,定性和定量的出行相关变量,旅行态度,个性,生活方式,喜欢旅游和社会人口统计学都显着影响了对战略捆绑软件的单独考虑。总体而言,这项研究的结果使决策者和计划者能够洞悉个人对与旅行相关的策略的反应的动态性质,以及决策者所假定的对拥堵的反应与实际所采取的对拥堵的反应之间的差异。个人。

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