Title: Empirical Correlation Analysis of Parking Arrival and Departure Rates for Urban Parking Facilities
Abstract: To improve the effects of urban parking facilities' management and control, this paper collected 10 hours data consecutively on parking arrival and departure rates from one off-street park in central Nanjing city in China and sets the time series marshal as an interval of 15 minutes. Autocorrelation functions and partial correlation functions are set up to describe the relationship among the parameters such as parking arrival rate, parking departure rate, and parking actual occupancy. A Granger causality test model was used to analyze the three characteristics mentioned above. Conclusions were drew that, in specific time sections, the lagged parking arrival rates can affect the value of the current parking departure rate and occupancy rates of valid parking berths distinctly, while the lagged parking departure rates can greatly affect the value of current occupancy rates of valid parking berths. Finally, forecasting models of parking arrival and departure rates were set up based on correlation analysis, and the results show that these models demonstrate promising performance for modeling parking arrival and departure rates.
Publication Year: 2009
Publication Date: 2009-07-23
Language: en
Type: article
Indexed In: ['crossref']
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