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Employer-based travel demand management program: Employer's choice and effectiveness

机译:基于雇主的旅行需求管理计划:雇主的选择和有效性

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The impact and effectiveness of employers' travel demand management (TDM) programs have often been investigated, but there is little research on employers' preference of TDM programs and the factors which influence their choices. This study aims to examine employers' choices of TDM program and the effectiveness based on a Seoul TDM database. Factors affecting employers' decisions on whether to participate in TDM programs and the degree of participation are identified based on regression models: binary logistic, ordinary least squares and Tobit regressions. In addition, an employers' TDM program choice model is developed using the approach of the multiple discrete continuous extreme value (MDCEV) model, as an employer can participate in multiple TDM programs, and their individual effectiveness is represented by continuous values of traffic impact fee discount rates. The developed models consistently indicate that facilities' characteristics such as owner type and facility size, along with locational characteristics (e.g., land use and accessibility to transit) are important in choosing a TDM program. In particular, the MDCEV model shows that employers' preferences for TDM programs vary significantly by employer and characteristics of the program.
机译:经常对雇主旅行需求管理(TDM)计划的影响和有效性进行调查,但是关于雇主对TDM计划的偏好以及影响他们选择的因素的研究很少。这项研究旨在根据首尔TDM数据库检查雇主对TDM计划的选择和有效性。根据回归模型确定影响雇主决定是否参加TDM计划以及参与程度的因素:二元logistic,普通最小二乘和Tobit回归。此外,雇主的TDM计划选择模型是使用多重离散连续极值(MDCEV)模型的方法开发的,因为雇主可以参与多个TDM计划,并且其个人有效性由交通影响费的连续值表示折扣率。所开发的模型始终表明,设施的特征(如所有者类型和设施规模)以及位置特征(例如,土地使用和交通便利性)对于选择TDM计划很重要。特别是,MDCEV模型显示,雇主对TDM计划的偏好会因雇主和计划的特点而有很大差异。

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