Abstract
With the cultivation of the shared economy, shared parking provides a new solution to the urban parking resource shortage problem. In this paper, the shared parking mode is taken as the research object to improve the utilization efficiency of parking spaces. The stated preference (SP) survey is used to collect the intention of sharing parking behavior in a typical shared parking mode situation. The behavior selection characteristics of the person sharing parking are analyzed and a binary logit model is used to establish the parking behavior selection model. The key parameters of a floating charge are proposed. Based on the above research, a dynamic balance adjustment method for shared parking floating charges is proposed and an empirical analysis is carried out. The research results showed that compared with fixed fees, the floating charge method can improve the utilization rate of idle spaces by more than 60% and control the occupancy rate of spaces by 60–80%. The floating charge method not only guarantees its own parking demand but also exploits the potential of shard parking facilities, which is good for promoting the sustainable and healthy development of urban transportation.
Highlights
Parking space sharing refers to measures to use the differences in parking demand in space and time to serve parking lots in two or more adjacent areas within a specific period of time [1]
Simicevic et al [7] analyzed the flexibility of parking charges for off-road parking, and the results showed that increasing the parking fee would reduce parking demand and the parking occupancy rate
The analysis of the hypothetical situation showed that price greatly influences shared parking behavior choices
Summary
Parking space sharing refers to measures to use the differences in parking demand in space and time to serve parking lots in two or more adjacent areas within a specific period of time [1]. Some studies have shown that the adjustment of parking fees can improve the utilization rate of parking lots and have a great impact on parking supply and demand [6]. Ayala et al [8] proposed a parking charge model to reflect the problem of parking competition and examined the impact of pricing strategy on driver parking competition He et al [9] extended Ayala et al’s thinking by expressing the equilibrium state of parking competition with a nonlinear equation, and achieved the optimal allocation of parking spaces under different pricing mechanisms. The behavior selection characteristics of shared parking are analyzed, the optimization method of floating charge is proposed, and the empirical analysis and comparative evaluation of the charging scheme and the effect of implementation are undertaken
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