自动驾驶车主的情境不确定性停车选择

IF 6.3 2区 工程技术 Q1 ECONOMICS
Yan Hu , Ying Zhao , Xiaodong Li , Tao Feng
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引用次数: 0

摘要

随着自动驾驶汽车(AV)技术的进步,有效管理停车行为对城市停车系统、交通拥堵和交通可持续性变得越来越重要。本研究旨在探讨自动驾驶汽车车主在不同活动-出行环境、不确定性条件和停车属性下的停车选择。设计陈述选择实验,建立混合logit累积前景理论模型,分析不同停车模式下不确定等待时间下的停车决策。研究结果表明,个体对等待时间的不确定性表现出风险偏好。当等待时间比预期短时,他们表现出风险厌恶,对进一步减少的敏感性降低。相反,长时间的等待会导致冒险行为、更高的敏感性和对概率感知的偏见。这些风险偏好显著影响个人的停车选择,特别是在长时间、不确定的等待场景下。此外,旅行背景因素(如目的、活动持续时间和空闲时间)和停车属性(如成本、收入和社会影响)以及社会人口统计学特征(如年龄、教育程度和汽车拥有量)显著影响自动驾驶汽车车主的停车决策。研究结果为城市规划者、政策制定者和汽车共享平台提供了有价值的见解,建议采用灵活的定价策略和推广共享出行服务,以提高停车效率,支持可持续交通发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Context-dependent uncertainty-aware parking choices of autonomous car owners
As autonomous vehicle (AV) technology advances, effectively managing parking behavior has become increasingly critical for urban parking systems, traffic congestion, and transportation sustainability. This study aims to investigate AV owners’ parking choices under various activity-travel contexts, uncertainty conditions, and parking attributes. A stated choice experiment was designed, and a mixed logit cumulative prospect theoretical model was developed to analyze parking decisions under uncertain waiting times underlying different parking modes. The findings indicate that individuals exhibit risk preferences in response to waiting time uncertainty. When waiting times are shorter than expected, they show risk aversion with diminishing sensitivity to further reductions. Conversely, longer-than-expected waits lead to risk-seeking behavior, heightened sensitivity, and biases in probability perception. These risk preferences significantly influence individuals' parking choices, particularly in prolonged, uncertain waiting scenarios. Additionally, travel context factors (e.g., purpose, activity duration, and idle time) and parking attributes (e.g., cost, revenue, and social influence) significantly influence AV owners' parking decisions, along with socio-demographic characteristics (e.g., age, education, and car ownership). The findings provide valuable insights for urban planners, policymakers, and car-sharing platforms, suggesting flexible pricing strategies and the promotion of shared mobility services to enhance parking efficiency and support sustainable transportation development.
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来源期刊
Transport Policy
Transport Policy Multiple-
CiteScore
12.10
自引率
10.30%
发文量
282
期刊介绍: Transport Policy is an international journal aimed at bridging the gap between theory and practice in transport. Its subject areas reflect the concerns of policymakers in government, industry, voluntary organisations and the public at large, providing independent, original and rigorous analysis to understand how policy decisions have been taken, monitor their effects, and suggest how they may be improved. The journal treats the transport sector comprehensively, and in the context of other sectors including energy, housing, industry and planning. All modes are covered: land, sea and air; road and rail; public and private; motorised and non-motorised; passenger and freight.
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