Passenger Flow Prediction of Scenic Spots in Jilin Province Based on Convolutional Neural Network and Improved Quantile Regression Long Short-Term Memory Network

Passenger Flow Prediction of Scenic Spots in Jilin Province Based on Convolutional Neural Network and Improved Quantile Regression Long Short-Term Memory Network

Passenger flow is an important benchmark for measuring tourism benefits, and accurate tourism passenger flow prediction is of great significance to the government and related tourism enterprises and can promote the sustainable development of China’s tourism industry. For daily passenger flow time se...

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Bibliographic Details
Main Authors: Xiwen Qin, Dongmei Yin, Xiaogang Dong, Dongxue Chen, Shuang Zhang
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:ISPRS International Journal of Geo-Information
Subjects:
scenic passenger flow
quantile regression long short-term memory network
sparse Laplacian
grid constraints
convolutional neural network
interval prediction
Online Access:https://www.mdpi.com/2220-9964/11/10/509

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https://www.mdpi.com/2220-9964/11/10/509

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