Civil and Traffic Engineering |
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Multi-dimensional travel decision model of heterogeneous commuters based on Cumulative Prospect Theory |
WANG Han qi, CHEN Hong, FENG Wei, LIU Wei wei |
Highway college, chang’an University, Xi’an 710064, China |
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Abstract In order to accurately describe the risk attitude and travel decision behavior of heterogeneous commuters, commuters’ arrival time was assumed to follow skewed distribution; preference arrival time was calculated by different reliability requirements; heterogeneous reference point and risk coefficient function were built comprehensively considering the impact of the travel costs. Multidimensional travel decision model of heterogeneous commuters were established based on cumulative prospect theory(CPT). Results show that, in case of heterogeneous reference points and risk coefficients, commuters behave different risk attitudes in travel decision-making and take different travel decision behaviors. The results by multi-dimensional travel decision model were more realistic. In the onedimensional travel decision, the impact of risk coefficient on travel decision results is not significant; while the impact is significant in the multi-dimensional travel decision.
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Published: 06 March 2017
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Cite this article:
WANG Han qi, CHEN Hong, FENG Wei, LIU Wei wei. Multi-dimensional travel decision model of heterogeneous commuters based on Cumulative Prospect Theory. JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE), 2017, 51(2): 297-303.
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基于CPT的异质通勤者多维出行决策模型
为了准确描述异质通勤者的风险态度及出行决策行为,假设通勤者的到达时间符合偏态分布,根据不同的可靠性要求计算偏好到达时间,综合考虑出行费用的影响,构建参照点与风险偏好系数函数,建立了基于累积前景理论(CPT)的异质通勤者多维出行决策模型.结果表明,在参照点与风险偏好系数异质的情况下,通勤者表现出不同的风险态度,从而采取不同的出行决策行为,多维出行决策模型得到的结果更符合实际.在单维出行决策时,风险偏好系数对出行决策结果的影响不显著;而在多维出行决策时,风险偏好系数对出行决策结果的影响显著.
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