Dynamic Space Allocation Based on Internal Demand for Optimizing Release of Shared Parking

Fast Way to Predict Parking Lots Availability: For Shared Parking Lots Based on Dynamic Parking Fee System

This study mainly focuses on the estimation calculation of urban parking space. Urban parking has always been a problem that plagues governments worldwide. Due to limited parking space, if the parking space is not controlled correctly, with the city’s development, the city will eventually face the result that there is nowhere to park. In order to effectively manage the urban parking problem, using the dynamic parking fee pricing mechanism combined with the concept of shared parking is an excellent way to alleviate the parking problem, but how to quickly estimate the total number of available parking spaces in the area is a big problem. This study provides a fast parking space estimation method and verifies the feasibility of this estimation method through actual data from various types of fields. This study also comprehensively discusses the changing characteristics of parking space data in multiple areas and possible data anomalies and studies and explains the causes of data anomalies. The study also concludes with a description of potential applications of the predictive model in conjunction with subsequent dynamic parking pricing mechanisms and self-driving systems.

Building a New Framework for Urban Parking Facilities Research with Quality Improvement: The Case of Chongqing, China

People-oriented development has become the main theme of China's current social development, and the construction of various urban infrastructure has shifted from a focus on functionalism to a continuous pursuit of service quality. As an essential infrastructure for urban transport, urban parking facilities have an impact on pedestrian experience and landscape appearance based on the provision of parking functions. Therefore, this study is oriented to improving the quality of parking facilities, proposes a research framework of parking facilities based on meeting functional demand and service quality, and constructs a quality index to evaluate the quality of parking facilities, which includes three dimensions of evaluation indexes: pedestrian space impact, environmental space impact, and demand matching. By analyzing the current characteristics of urban parking facilities and measuring their quality index (6.5), the study finds that while satisfying the basic function of parking demand, it brings a negative impact on the pedestrian experience and the overall urban landscape appearance of the city. Motivated by this, this study proposes strategies to improve the quality of parking facilities: demand matching, spatial synergy, and environmental design to address parking difficulties, while injecting different ideas for future value orientation of parking facility planning and construction.