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The Effects of Commute Trip Reduction Program on Employee Non-SOV Travel Frequency

机译:减少通勤旅行计划对员工非SOV出行频率的影响

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摘要

Initiated in 1991, Washington State Commute Trip Reduction (CTR) program was one of the earliest employer-based transportation management program in the nation which requires employers to implement strategies to encourage alternative travel modes. This research investigates the effects of the CTR program on employees' non-SOV travel frequency, by controlling employee demographic features and worksite built environment characteristics. The database was assembled from 2015/2016 WA State employer and employee survey data. 84,878 employees in 379 worksites were selected for data analysis and model fit. Poisson model, negative binomial model, zero-inflated model and hurdle model were implemented individually. The hurdle model was eventually selected as the final model due to better goodness-of-fit, the accuracy of model prediction and the practical sense of model interpretation. The model is a combination of a binomial logistic model to predict the odds of being a non-SOV commuter versus an exclusive-SOV commuter and a negative binomial model to predict the number of non-SOV commuting day counts for the non-SOV commuters.;The results of this study corroborate the mainstream view that demographic features, built environment characteristics and CTR policies all have significant effects on employees' non-SOV model choice and travel behavior, yet more dynamic relationships were found among CTR policy components. Controlling for other variables, the parking fee management, transit subsidy, teleworking option and worksite amenity are expected to increase the odds for an employee of being a non-SOV commuter by 52.52%, 58.32%, 15.44%, 23.77%, respectively, while carpool/ vanpool subsidy and worksite service unexpectedly decrease the odds by 12.88% and 17.73%. Speaking of the non-SOV travel frequency, the parking fee management, transit subsidy, walking/biking subsidy, worksite amenity and service increase the rate of non-SOV commuting days by 4.72%, 2.19%,1.67%, 3.97% and 3.91%, whereas the carpool/ vanpool, compressed working hour and teleworking option decrease the rate by 5.57%, 4.91%, 5.47%. Overall, the CTR policy package increases the probability for a "typical" employee of being a non-SOV commuter by 22%, though its effect on non-SOV day counts is modest.
机译:华盛顿州减少通勤旅行(CTR)计划于1991年启动,是美国最早的以雇主为基础的交通管理计划之一,该计划要求雇主实施战略以鼓励其他出行方式。本研究通过控制员工的人口统计特征和工作场所的建筑环境特征,研究了CTR计划对员工非SOV出行频率的影响。该数据库是根据2015/2016年西澳州雇主和雇员调查数据汇总而来的。选择了379个工作地点的84,878名员工进行数据分析和模型拟合。泊松模型,负二项式模型,零膨胀模型和跨栏模型分别实现。由于具有更好的拟合优度,模型预测的准确性以及模型解释的实际意义,最终选择了障碍模型作为最终模型。该模型是二项式逻辑模型和非二项式模型的组合,二项式逻辑模型用于预测非SOV通勤者相对于SOV专用通勤者的可能性,负二项式模型用于预测非SOV通勤者的非SOV通勤天数。 ;这项研究的结果证实了主流观点,即人口特征,建筑环境特征和CTR政策都对员工的非SOV模型选择和出差行为产生重大影响,但在CTR政策组成部分之间发现了更多的动态关系。控制其他变量后,停车费管理,公交补贴,远程办公选项和工作场所便利性预计分别将使雇员成为非SOV通勤者的几率分别增加52.52%,58.32%,15.44%,23.77%,拼车/拼车补贴和现场服务意外降低了12.88%和17.73%的几率。说到非SOV出行频率,停车费管理,过境补贴,步行/骑车补贴,工作场所便利和服务增加了非SOV上下班天数的比率,分别为4.72%,2.19%,1.67%,3.97%和3.91% ,而拼车/拼车,压缩工作时间和远程办公选项则分别降低了5.57%,4.91%和5.47%。总体而言,CTR政策方案使“典型”员工成为非SOV通勤者的可能性增加了22%,尽管其对非SOV日数的影响很小。

著录项

  • 作者

    Wu, Xiatian.;

  • 作者单位

    University of Washington.;

  • 授予单位 University of Washington.;
  • 学科 Urban planning.;Transportation.
  • 学位 Masters
  • 年度 2018
  • 页码 76 p.
  • 总页数 76
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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