Using an Internet of Behaviours to Study How Air Pollution Can Affect People’s Activities of Daily Living: A Case Study of Beijing, China
This study aims to quantitatively model rather than to presuppose whether or not air pollution in Beijing (China) affects people’s activities of daily living (ADLs) based on an Internet of Behaviours (IoB), in which IoT sensor data can signal environmental events that can change human behaviour on m...
Main Authors: | Guangyuan Zhang, Stefan Poslad, Xiaoping Rui, Guangxia Yu, Yonglei Fan, Xianfeng Song, Runkui Li |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-08-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/21/16/5569 |
Similar Items
-
Correction and Accuracy of PurpleAir PM<sub>2.5</sub> Measurements for Extreme Wildfire Smoke
by: Karoline K. Barkjohn, et al.
Published: (2022-12-01) -
Status of Air Pollution during COVID-19-Induced Lockdown in Delhi, India
by: Harikesh Singh, et al.
Published: (2022-12-01) -
Evaluation of Air Quality based on Air Quality Index in Kerman City, 2015
by: Mohsen heidari, et al.
Published: (2017-09-01) -
Spatial and Temporal Variation of Aerosol Optical Depth in Huaihai Economic Zone from 1982 to 2021
by: Shuhui Wu, et al.
Published: (2023-05-01) -
The Effect of Meteorological Features on Pollution Characteristics of PM<sub>2.5</sub> in the South Area of Beijing, China
by: Zhichen Yang, et al.
Published: (2023-11-01)