Powerful parking management approaches are vital in metropolitan areas where parking resource is limited and congestion is severe. To date, parking pricing is considered as an efficient tool for improving parking management by moderating parking demand. Hence, this paper proposes a parking charging method involving both the parking demand and supply. We aggregate the individual parking behaviors into the parking demand and consider the trade-offs between multiple parking behaviors. Then, a maximization problem is formulated to fulfill the benefits of parking demand as well as stabilizing parking supply. The results of case study indicate that the share of parking patterns has shifted positively, and an increment in the total benefit of respondents (5.00%) is obtained. Considering parking dynamics, the proposed method can serve as an effective and feasible manner to equilibrate spatial and temporal distribution of parking demand thereby alleviating parking pressure. This study also makes a methodological contribution to parking pricing policy design.

在停车资源有限且拥堵严重的大都市地区，强大的停车管理方法至关重要。迄今为止，停车定价被认为是通过调节停车需求来改善停车管理的有效工具。因此，本文提出了一种涉及停车需求和供应的停车收费方法。我们将个人停车行为汇总到停车需求中，并考虑多种停车行为之间的权衡。然后，制定最大化问题以实现停车需求的好处以及稳定停车供应。案例研究的结果表明，停车模式的份额发生了正向变化，受访者的总收益增加了 (5.00%)。考虑停车动态，所提出的方法可以作为一种有效且可行的方式来平衡停车需求的空间和时间分布，从而减轻停车压力。本研究还对停车定价政策设计做出了方法论贡献。