Weighting Waiting: Evaluating Perception of In-Vehicle Travel Time Under Moving and Stopped Conditions
Weighting Waiting: Evaluating Perception of In-Vehicle Travel Time Under Moving and Stopped Conditions
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DOI：
10.3141/1898-08
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发表时间：
2004
影响因子：
1.7
通讯作者：
D. Levinson;K. Harder;J. Bloomfield;Kasia Winiarczyk
中科院分区：
文献类型：
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作者：
D. Levinson;K. Harder;J. Bloomfield;Kasia Winiarczyk
在实验中，将传统的计算机管理的状态偏好(SP)数据与虚拟体验SP数据进行比较，以确定与走走停停或畅通无阻的交通相比，人们如何重视停车延误。利用环绕式驾驶模拟器进行了虚拟体验SP实验。这两种方法产生了不同的结果：传统的计算机辅助SP数据表明，高速公路上的匝道延误是延误的1.6~1.7倍，而基于驾驶模拟器的虚拟经验SP数据表明，高速公路延误比匝道延误更麻烦。本文提出了几个因素来解释这些差异，包括新近、同时与顺序比较、对公众舆论的认识、走走停停的交通强度，以及现实世界中驾驶的目标导向性质。然而，在没有进一步研究的情况下，还不清楚这些因素中的哪一个最终会被证明是正确的。显而易见的是，将计算机管理的SP数据与虚拟体验SP数据进行比较会产生不同的结果，即使这两个过程都努力在名义上相同的条件集合中找到相同的答案。由于人们主观地体验世界，并根据这些主观经验做出决定，未来的研究应该旨在更好地理解这些主观方法论之间的差异。
Experiments are described in which traditional computer-administered stated-preference (SP) data are compared with virtual experience SP data to ascertain how people value stopped delay compared with stop-and-go or free-flow traffic. The virtual experience SP experiments were conducted by using a wraparound driving simulator. The two methods produced different results: the traditional computer-assisted SP data suggested that ramp delay is 1.6 to 1.7 times more onerous than delay on freeways, whereas the virtual experience SP data based on the driving simulator suggested that freeway delay is more onerous than ramp delay. Several factors are advanced to explain the differences, including recency, simultaneous versus sequential comparison, awareness of public opinion, intensity of the stop-and-go traffic, and the goal-directed nature of driving in the real world. However, without further research, it is unclear which, if any, of these factors will eventually prove to be the right one. What is clear is that a comparison of the computer-administered SP data with virtual experience SP data produces different results, even though both procedures strive to find the same answers in nominally identical sets of conditions. Because people experience the world subjectively and make decisions on the basis of those subjective experiences, future research should be aimed at better understanding the differences between these subjective methodologies.