Impact of Underreporting on Mileage and Travel Time Estimates: Results from Global Positioning System-Enhanced Household Travel Survey

Impact of Underreporting on Mileage and Travel Time Estimates: Results from Global Positioning System-Enhanced Household Travel Survey
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DOI:
10.3141/1854-21
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发表时间:
2003
影响因子:
1.7
通讯作者:
J. Wolf;M. Oliveira;M. Thompson
J. Wolf;M. Oliveira;M. Thompson
中科院分区:
工程技术4区
文献类型:
--
作者:
J. Wolf;M. Oliveira;M. Thompson

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由于传统调查方法的自我报告性质,旅行少报一直是家庭旅行调查中的一个问题。记忆力衰退、不理解或不遵循调查说明、不愿报告旅行的全部细节以及简单的粗心大意,都是导致自我报告调查中旅行数据收集不完整的原因。由于家庭出行调查数据是出行生成模型的主要输入,因此它对交通模型的输出具有潜在的严重影响,例如车辆行驶里程(VMT)和旅行时间。全球定位系统(GPS)技术已被用作个人旅行数据收集的补充。以往的研究证实了应用GPS技术提高出行数据的准确性和完整性的可行性。分析了出行少报对模型VMT和出行时间的影响。这项分析将VMT和旅行时间估计与GPS测量数据进行了比较。这些VMT和旅行时间估计是由每个区域的旅行需求模型的旅行分配模块通过使用计算机辅助电话交互视图中报告的旅行得出的。这项分析使用了加州全州家庭旅行调查GPS研究的数据子集,并通过三个研究地区(阿拉米达、萨克拉门托和加利福尼亚州圣地亚哥)的大都市规划组织的合作而成为可能。
Trip underreporting has long been a problem in household travel surveys because of the self-reporting nature of traditional survey methods. Memory decay, failure to understand or to follow survey instructions, unwillingness to report full details of travel, and simple carelessness have all contributed to the incomplete collection of travel data in self-reporting surveys. Because household trip survey data are the primary input into trip generation models, it has a potentially serious impact on transportation model outputs, such as vehicle miles of travel (VMT) and travel time. Global Positioning System (GPS) technology has been used as a supplement in the collection of personal travel data. Previous studies confirmed the feasibility of applying GPS technology to improve both the accuracy and the completeness of travel data. An analysis of the impact of trip underreporting on modeled VMT and travel times is presented. This analysis compared VMT and travel time estimates with GPS-measured data. These VMT and travel time estimates were derived by the trip assignment module of each region's travel demand model by using the trips reported in computer-assisted telephone inter views. This analysis used a subset of data from the California Statewide Household Travel Survey GPS Study and was made possible through the cooperation of the metropolitan planning organizations of the three study areas (Alameda, Sacramento, and San Diego, California).