Dynamic allocation model of large parking garage berths considering occupancy rate
To improve parking efficiency,this study considers the parking berths allocation needs of parking garage operators and drivers under different parking garage occupancy rates and constructs a large parking garage parking berths allocation model.By introducing the occupancy rate,garage emp-tiness and fullness levels were categorized into periods with ample empty berths,moderate empty berths,and scarce empty berths.Considering the operational management needs of parking garage op-erators and drivers'needs for quick parking berth finding,this study constructs operational manage-ment time utility functions based on the time spent searching for a parking berth and the time to exit the parking garage.Similarly,driver parking time utility functions were established based on the time spent searching for a berth,the times pent parking into a berth,and walking time.The operational management time utility and driver parking time utility were combined into a total time utility,weighted and unified to maximize this total time utility to create a parking berths allocation model that addresses both the needs of parking garage operators and drivers.Berth utilization rates and total parking times were introduced to evaluate model performance.A large commercial parking garage in Xi'an City was selected for this case study.The time periods of 9:00,11:30,and 13:00 were selected as representative time periods with different garage emptiness and fullness levels,namely,ample empty berths,moderate empty berths,and scarce empty berths.Under different levels of parking ga-rage occupancy,the total time utility of empty berths was negatively correlated with the total parking time consumed under different emptiness and fullness levels.Specifically,during periods of ample empty berths,the correlation between total time utility and total parking time consumed was weak-est,with a correlation coefficient of-0.461.The total time utility of empty berths was positively cor-related with the berth utilization rates during periods of scarce empty berths,with a correlation coeffi-cient of 0.710;this indicates that the model can reserve parking berths with high utilization rates for peak periods under the premise of prioritizing berths with shorter total parking times,thereby improv-ing parking efficiency and driver satisfaction during periods with scarce empty berths.
万方数据
维普
