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原文传递 Analysis of Latent Classes by Survey Response Durations in a Driving Behaviour Simulator with In-Vehicle Traffic Information
题名: Analysis of Latent Classes by Survey Response Durations in a Driving Behaviour Simulator with In-Vehicle Traffic Information
正文语种: 中文
作者: Guo Jingqiu Qiu Min
作者单位: The University of Western ustralia M 261,35 Stirling Highway, rawley W 6009, ustralia
关键词: In-Vehicle Information Systems survey response duration latent class model log-logistic distribution analysis of variance
摘要: Intelligent Transportation Systems represent the application of advanced technologies to transport in order to improve system efficiency and safety.A computer-based stated-preference (SP) simulator was developed to investigate how drivers would respond to innovative in-vehicle information when they are driving with an ecodriving support device.The sample collected online through the SP simulator has a size of 283 responses and the sample is unbiased as far as age and gender are concerned.The survey response duration (SRD) is also recorded as secondary information but is important for understanding the number of latent classes that is a way to deal with the poptflation heterogeneity within the family of logit choice analysis.It is found that the SRD follows unexpectedly a log-logistic distribution and two or three latent classes are suggested in the estimation of a set of latent class models for the study.
会议日期: 20091030
会议举办地点: 上海
会议名称: 第八届全国交通运输领域青年学术会议
出版日期: 2009-10-30
母体文献: 第八届全国交通运输领域青年学术会议论文集
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