Dissertation Research: Dynamics in Behavioral Adaptation to a Transportation Innovation: A Case Study of the Bay Area Rapid Transit District (BART)
Dissertation Research: Dynamics in Behavioral Adaptation to a Transportation Innovation: A Case Study of the Bay Area Rapid Transit District (BART)
批准号:
9712089
负责人:
Daniel Sperling
金额:
$0.7万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1997
资助国家:
美国
项目状态:
已结题
起止时间:
1997-09-01 至 1998-08-31
中文摘要
9712089 Sperling使用共享的公共交通为基础的电动汽车在旧金山弗朗西斯科湾区的案例研究,本论文项目旨在发展的过程中,旅客可以和可能接受或适应交通技术的理解,这取决于方法和长度的介绍。 两种类型的创新曝光将在这项研究中进行检查:信息视频和小册子。 为了研究家庭对创新的动态反应,将对接触智能站车概念的旧金山弗朗西斯科湾区居民进行小组调查。 本次调查收集的信息将用于评估几个动态家庭假设。 例如,一个家庭对创新的流动性限制的估价反应(例如,范围)将通过使用新技术的曝光/时间而改变。 动态家庭的价值反应将揭示在态度,活动和家庭的旅行行为,并反映在旅行日记和调查管理的研究参与者。 从这项研究中获得的见解可以被公共和私营部门的个人用来评估对智能站车创新和其他相关技术的需求,例如,智能出租车、智能辅助运输和汽车共享组织。 广泛的运输技术可以受益于从这项研究中获得的理解。
英文摘要
9712089SperlingUsing a case study of shared transit-based electric cars in the San Francisco Bay Area, this dissertation project seeks to develop an understanding of the processes by which travelers can and might accept or adapt to transportation technologies, depending on the method and length of introduction. Two types of innovation exposure will be examined in this study: an informational video and brochure. To examine the dynamics of the household response to the innovation, a panel survey of San Francisco Bay Area residents exposed to the intelligent station car concept will be conducted. The information gathered in this survey will be used to evaluate several dynamic household hypotheses. For instance, a household's valuing response to an innovation's mobility limitations (e.g., range) will be altered by exposure/time with the new technology. Dynamics in the household's valuing response will be revealed in attitudes, activities, and travel behavior of the household and reflected in the travel diaries and surveys administered to study participants. The insights gained from this study could be used by individuals in both the public and private sectors to assess the demand for the intelligent station car innovation and other related technologies e.g., smart taxis, smart paratransit, and car-sharing organizations. A wide-range of transportation technologies could benefit from the understanding gained from this study.
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