An urban big data-based air quality index prediction: A case study of routes planning for outdoor activities in Beijing

• Main Authors: ZOU, Zhiqiang, CAI, Tao, CAO, Kai
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Urban big data; data mining; urban air quality; deep neural network; routes planning; Asian Studies; Databases and Information Systems; OS and Networks
• Online Access: https://ink.library.smu.edu.sg/sis_research/5423; https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=6426&context=sis_research
• Institution: Singapore Management University

Urban big data include various types of datasets, such as air quality data, meteorological data, and weather forecast data. Air quality index is broadly used in many countries as an indicator to measure the air pollution status. This indicator has a great impact on outdoor activities of urban reside...