Despite the increasing interest in shared parking, little attention has been devoted to its perceptions and acceptance among drivers. To fill such a gap, this paper develops a novel theoretical framework in which perceived network externality, cost risk, safety risk, and management pressure are incorporated into the Combined Technology Acceptance Model and Theory of Planned Behavior (C-TAM-TPB). This paper merely focuses on positive network externality. First, a mathematical model is proposed to verify some of the hypotheses. The analytical results show that both a driver’s utility and the shared parking platform’s equilibrium demand are increasing in the effect of network externality and decreasing in the effect of risks. Second, a structural equation modeling approach with the partial least squares algorithm is employed for parameter estimation and model assessment. We conducted a quantitative study with 321 usable responses. The empirical results show that, except for management pressure, all the other constructs measured in the study had a significant total effect on user attitude and use intention towards shared parking. The corresponding amount of variance in attitude and use intention explained by our research model was 68.4% and 72.6%, respectively. Our findings shall provide useful insights into the better implementation of shared parking applications from managerial, technological, and operational perspectives.

尽管人们对共享停车越来越感兴趣，但很少有人关注它在驾驶员中的认知和接受程度。为了填补这一空白，本文开发了一个新的理论框架，其中将感知到的网络外部性、成本风险、安全风险和管理压力纳入技术接受模型和计划行为理论（C-TAM-TPB）中。本文仅关注正网络外部性。首先，提出了一个数学模型来验证一些假设。分析结果表明，驾驶员效用和共享停车平台的均衡需求在网络外部性效应下均呈递增趋势，在风险效应下呈递减趋势。第二，采用偏最小二乘算法的结构方程建模方法用于参数估计和模型评估。我们对 321 个可用响应进行了定量研究。实证结果表明，除了管理压力外，研究中测量的所有其他结构对用户对共享停车的态度和使用意愿都有显着的总体影响。我们的研究模型解释的态度和使用意图的相应方差分别为 68.4% 和 72.6%。我们的研究结果将从管理、技术和运营的角度为更好地实施共享停车应用提供有用的见解。研究中测量的所有其他结构对用户对共享停车的态度和使用意愿都有显着的总体影响。我们的研究模型解释的态度和使用意图的相应方差分别为 68.4% 和 72.6%。我们的研究结果将从管理、技术和运营的角度为更好地实施共享停车应用提供有用的见解。研究中测量的所有其他结构对用户对共享停车的态度和使用意愿都有显着的总体影响。我们的研究模型解释的态度和使用意图的相应方差分别为 68.4% 和 72.6%。我们的研究结果将从管理、技术和运营的角度为更好地实施共享停车应用提供有用的见解。