Shared parking allows the effective use of undersupplied parking spaces and contributes to the alleviation of urban parking problems, traffic congestion, environmental pollution, and other negative externalities of traffic. However, little is known about the acceptance of shared parking by consumers of a different socio-demographic profile. To understand the feasibility and potential success of shared parking, this paper develops a stated choice experiment with three choice options: fixed mode shared parking, flexible mode shared parking and not interested, to investigate parking space owners’ propensity to engage in shared parking under varying conditions. Because the demand for shared parking is uncertain, the revenues owners may generate are uncertain. As one of the most popular theories of decision making under uncertainty, the cumulative prospect theory is incorporated into a multinomial logit model to capture the decision problem in which some variables are uncertain and others are not. The revenue that owners expect shared parking can bring is used as the reference point to differentiate between gains and losses. Gains refer to outcomes that exceed the reference point, while losses refer to outcomes that fall short. To examine unobserved heterogeneity, a random parameter version of the model is specified to estimate the distribution of decision weights across the sample. Results show that socio-demographic characteristics, context variables, revenues and psychological concerns are all important factors in explaining parking space owners’ propensity to engage in platform-based shared parking schemes. Incorporating unobserved heterogeneous improves the overall goodness-of-fit of the model. Understanding parking space owners’ propensity to share their parking spaces in relation to their psychological concerns and uncertain conditions is critical to improve shared parking policies. The results of this paper may help designers and planners in the delivery of shared parking services and promote the success and future growth of the shared parking industry.

共享停车位可有效利用供不应求的停车位，并有助于缓解城市停车问题，交通拥堵，环境污染和其他不利的交通外部性。但是，对于不同社会人口统计学特征的消费者接受共享停车的情况知之甚少。为了了解共享停车的可行性和潜在成功，本文开发了一种陈述选择实验，该选择实验具有以下三种选择：固定模式共享停车，灵活模式共享停车和不感兴趣，以调查停车位所有者在不同条件下从事共享停车的倾向。条件。因为对于共享停车的需求是不确定的，所以所有者可能产生的收入是不确定的。作为不确定性条件下最受欢迎的决策理论之一，累积前景理论被结合到多项式logit模型中，以捕获其中一些变量不确定而其他变量不确定的决策问题。所有者期望共享停车所带来的收入将用作区分收益和损失的参考点。收益是指超过参考点的结果，而损失是指未达到目标的结果。为了检查未观察到的异质性，指定了模型的随机参数版本以估计样本中决策权重的分布。结果表明，社会人口统计学特征，环境变量，收入和心理问题都是解释停车位所有者倾向于使用基于平台的共享停车方案的重要因素。合并未观察到的异类可改善模型的整体拟合优度。了解停车位所有者关于其心理问题和不确定条件而共享其停车位的倾向对于改善共享停车政策至关重要。本文的结果可能有助于设计师和规划人员提供共享停车服务，并促进共享停车行业的成功和未来的发展。