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- W3000492774 abstract "Parking demand prediction is an important part of urban parking planning, and it is an important foundation for the development of parking facilities. Compared with the traditional prediction methods, the scenario of these prediction methods are single. With future scenarios have great changes, traditional prediction methods will no longer apply. In order to overcome these shortcomings, a parking demand forecasting method based on scenario analysis was proposed. By analyzing the situation of parking demand that may arise in the future, three scenarios were set up to analyze the influence factors of the parking demand. The data were processed and analyzed by SPSS software, the prediction model of parking demand, and the parameters in the model were determined. Finally, the developed models were used to predict the parking demand of Beijing City in 2020." @default.
- W3000492774 created "2020-01-23" @default.
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- W3000492774 date "2018-01-18" @default.
- W3000492774 modified "2023-10-14" @default.
- W3000492774 title "Study on Application for Parking Demand Prediction with Scenario Analysis" @default.
- W3000492774 doi "https://doi.org/10.1061/9780784480915.426" @default.
- W3000492774 hasPublicationYear "2018" @default.
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