Abstract
To alleviate the problem between parking demand and supply, as well as improving urban traffic environment, shared parking has attracted great interest among researchers, policymakers, and entrepreneurs. Naturally, it is a prerequisite of sharing private parking spaces with public users (P-users) that all of the owners (O-users) providing parking spaces have space to park whenever they come back, with a unified management of all parking resources. However, it remains a challenge both in theory and practice. To solve this problem, firstly, we introduced a management framework of shared parking resource in terms of time and spatial dimension. Under this framework, to control the access to parking spaces of P-users, four phases (preparatory phase, open phase, releasing phase, and reconstructive phase) are divided in time dimension, and two types of parking spaces (the prestored parking spaces, and the shared parking spaces) are classified in spatial dimension. Then, based on the proposed management framework, an intelligent parking management system (IPMS) was developed to simulate the operation of shared parking considering the uncertainties of P-users’ and O-users’ arrival and departure. Furthermore, detailed sensitivity analysis, based on real-world data and simulations, evaluated the proposed framework and the developed IPMS in a case study concerning parking lots in Beijing, China. The results show that the IPMS can not only realize that there will always be enough available parking spaces satisfying O-users’ parking demand, but also bring about vast improvements in both utilization and turnover rate of parking spaces, comparing with the non-shared management strategy.
Highlights
With the increasingly high ownership and usage of automatics, parking has been an important issue for both government management departments and public travellers, especially in metropolitans, around the world [1]–[3]
We developed an intelligent parking management system that can depict parking behaviours with the uncertainty of arrival and departure of both public users and the owners of shared parking resources
SYSTEM MODULE we present an agent-based simulation approach for reproducing dynamic and stochastic characteristics of arrival and departure from both O-users and public users (P-users) the shared parking lot based on MATLAB environment [31]
Summary
With the increasingly high ownership and usage of automatics, parking has been an important issue for both government management departments and public travellers, especially in metropolitans, around the world [1]–[3]. Qian and Rajagopal [13] explored travelers’ parking behaviors through real-time data collected by smartphones and GPS navigation, and made efficient parking pricing policies He et al [14] established two parking space choice models based on stated preference survey data considering various factors that affect shared parking choice behaviours. The uncertainty of paring duration or other factors, in real life, makes it more difficult to achieve the above goal [29] To solve this problem, we developed an intelligent parking management system (donated as IPMS) that can depict parking behaviours with the uncertainty of arrival and departure of both public users and the owners of shared parking resources.
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