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首页> 外文期刊>Transportation Research Procedia >Re-estimating UK Appraisal Values for Non-work Travel time Savings Using Random Coefficient Logit Model
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Re-estimating UK Appraisal Values for Non-work Travel time Savings Using Random Coefficient Logit Model

机译:使用随机系数Logit模型重新估算非工作旅行时间节省的英国评估值

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The official appraisal values of travel time savings (VTTS) for non-work trips in UK were estimated by basic discrete choice model on stated choice data collected over 20 years ago. This choice model developed by Bates and Whalen (2001) was specified to address some long-standing issues in the field of VTTS valuation including the sign and size of VTTS while allowing continuous interactions between VTTS and journey covariates. With respect to the size issue, it was found that a “tapering” function, whereby time changes are increasingly discounted, could best explain the lower unit utility observed for small time savings (STS). While this set of non-work VTTS is still being used for transport appraisal in UK, the field of discrete choice modelling has evolved significantly brought by a leap of computing power and improved simulation techniques. Notably, advanced model such as mixed multinomial logit (MMNL) has been widely used to facilitate more realistic travel behavioural modelling by explaining random taste heterogeneity across respondents, which cannot be achieved in a deterministic manner. Also, techniques in specifying such model for VTTS valuation are well established by researchers nowadays. The key objective of this research was then to apply the MMNL model and re-estimate the current UK VTTS within a random coefficient logit framework. Alongside the theoretical discussions, this paper presents a synthesis of empirical evidence to support an updated appraisal value for non-work travel time savings in UK. Some key findings from this paper include a much higher mean value for the VTTS and the significantly reduced “perception effect” for the STS. In particular, this research found that MMNL model substantially reduces the “tapering” parameter of the discounting function for STS such that the “perception effect” of the VTTS becomes minimal. This finding suggests that travel benefits due to STS should be included for transport appraisal and it challenges some appraisal frameworks for countries like Germany where VTTS are discounted or even completely ignored for STS.
机译:英国的非工作旅行节省的旅行时间(VTTS)的官方评估价值是根据20年前收集的既定选择数据通过基本离散选择模型估算的。由Bates和Whalen(2001)开发的这种选择模型用于解决VTTS评估领域中一些长期存在的问题,包括VTTS的符号和大小,同时允许VTTS和旅程协变量之间的持续交互。关于尺寸问题,发现“渐缩”功能(随着时间变化越来越被打折)可以最好地解释观察到的单位时间效用较小(节省时间)。尽管这套非工作型VTTS仍在英国用于运输评估,但由于计算能力的飞跃和改进的仿真技术,离散选择建模领域已发生了显着发展。值得注意的是,诸如混合多项式logit(MMNL)之类的高级模型已被广泛用于通过解释受访者之间的随机口味异质性来促进更现实的旅行行为建模,而这不能以确定性的方式实现。而且,如今,研究人员已经很好地建立了为VTTS评估指定这种模型的技术。然后,这项研究的主要目标是应用MMNL模型并在随机系数logit框架内重新估计当前的英国VTTS。除理论讨论外,本文还提供了经验证据的综合证明,以支持英国节省非工作旅行时间的最新评估价值。本文的一些关键发现包括VTTS的平均值高得多,而STS的“感知效果”则大大降低。特别是,这项研究发现,MMNL模型显着降低了STS贴现函数的“渐缩”参数,从而使VTTS的“感知效果”变得最小。这一发现表明,在运输评估中应考虑到STS带来的旅行收益,这对像德国这样的国家而言,对于VTTS打折甚至被STS完全忽略的国家,有些评估框架提出了挑战。

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