Integrating Attribute Decision Heuristics into Travel Choice Models that accommodate Risk Attitude and Perceptual Conditioning

将属性决策启发法集成到适应风险态度和感知条件的旅行选择模型中

• 批准号: DP140100909
• 负责人: Prof David Hensher
• 金额: $ 29.34万
• 依托单位: The University of Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2014
• 资助国家: 澳大利亚
• 起止时间: 2014-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP140100909
• 关键词: Integrating; Attribute; Decision; Heuristics; into

This proposal has the specific objective of integrating two disconnected literatures that are having a major influence on the behavioural and statistical performance of discrete choice models in travel choice modelling. These fields are attribute processing strategies and the conditioning of the marginal utility of attributes by risk attitude and perceptual conditioning. These two major developments have not been jointly integrated into a behaviourally richer representation of choice making. Given the encouraging evidence from both literatures, the research will determine more precisely the benefits in terms of improved estimates of willingness to pay for specific attributes and also increased predictive power.

该提案的具体目标是整合两个断开的文献，这两个文献对旅行选择建模中离散选择模型的行为和统计性能产生重大影响。这些领域是属性加工策略和风险态度和知觉条件反射对属性边际效用的条件反射。这两个主要的发展还没有被共同整合到一个行为上更丰富的代表性的选择。鉴于这两个文献中令人鼓舞的证据，研究将更精确地确定在改善对特定属性支付意愿的估计以及提高预测能力方面的好处。