PRAISE-HK: A personalized real-time air quality informatics system for citizen participation in exposure and health risk management

Wenwei Che; H. Christopher Frey; Jimmy C.H. Fung; Zhi Ning; Huamin Qu; Hong Kam Lo; Lei Chen; Tze-Wai Wong; Michelle K.M. Wong; Ophelia C.W. Lee; David Carruthers; Freeman Cheung; Jimmy W.M. Chan; David W. Yeung; Yik Him Fung; Xuguo Zhang; Jenny Stocker; Christina Hood; Tilman Leo Hohenberger; King Wai Leung; Phillip Y.K. Louie; Alison T.Y. Li; Li Sun; Peng Wei; Zhiyuan Li; Yumiao Zhang; Meilan Wang; Qiaomu Shen; Wei Huang; Enoch Lee; Ashraf Patwary; Xiayu Lei; Steven Cheng; Md Shakhaoat Hossain; Kimberly Tasha Jiayi Tang; XiangQian Lao; Rae Leung; Denise Chan; Ying Li; Zibing Yuan; Alexis K.H. Lau

doi:10.1016/j.scs.2019.101986

PRAISE-HK: A personalized real-time air quality informatics system for citizen participation in exposure and health risk management

Wenwei Che, H. Christopher Frey, Jimmy C.H. Fung, Zhi Ning, Huamin Qu, Hong Kam Lo, Lei Chen, Tze-Wai Wong, Michelle K.M. Wong, Ophelia C.W. Lee, David Carruthers, Freeman Cheung, Jimmy W.M. Chan, David W. Yeung, Yik Him Fung, Xuguo Zhang, Jenny Stocker, Christina Hood, Tilman Leo Hohenberger, King Wai LeungPhillip Y.K. Louie, Alison T.Y. Li, Li Sun, Peng Wei, Zhiyuan Li, Yumiao Zhang, Meilan Wang, Qiaomu Shen, Wei Huang, Enoch Lee, Ashraf Patwary, Xiayu Lei, Steven Cheng, Md Shakhaoat Hossain, Kimberly Tasha Jiayi Tang, XiangQian Lao, Rae Leung, Denise Chan, Ying Li, Zibing Yuan, Alexis K.H. Lau^*

^*Corresponding author for this work

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

52 Citations (Scopus)

Abstract

Exposure to air pollutants causes a range of adverse health effects. These harmful effects occur whenever and wherever people come into direct contact with air pollution. Therefore, individual actions that reduce the frequency, duration, and severity of personal contact with air pollution can reduce health risks. We developed a system that empowers the public with personalized information on air quality and exposure health risk. This system, the Personalised Real-Time Air Quality Informatics System for Exposure – Hong Kong (PRAISE-HK, http://praise.ust.hk/), is embodied in an interactive mobile application. PRAISE-HK is based on real-time data on emissions, high resolution urban morphology, meteorology, physical and chemical processes affecting pollutant transport and transformations, extensive measurements of air pollution concentrations in typical locations such as homes, schools, offices, and transportation, and big data integration of sensor monitoring to accurately estimate current and short-term forecasted street-level air quality. The street-level air quality simulation has been validated against reference monitoring data. Ongoing and planned future enhancements to PRAISE-HK include prediction of personal exposure and health response. PRAISE-HK is an example of the use of collective intelligence in a smart city to engage citizens in learning about and managing their own exposure to air pollution.

© 2019 Elsevier Ltd

Original language	English
Article number	101986
Journal	Sustainable Cities and Society
Volume	54
Online published	23 Dec 2019
DOIs	https://doi.org/10.1016/j.scs.2019.101986
Publication status	Published - Mar 2020
Externally published	Yes

Funding

This work was sponsored by the HSBC 150th Anniversary Charity Programme through the PRAISE-HK project .

Research Keywords

Air pollution
Citizen engagement
Individual health sensitivity
Personalized exposure

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.scs.2019.101986

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Che, W., Frey, H. C., Fung, J. C. H., Ning, Z., Qu, H., Lo, H. K., Chen, L., Wong, T.-W., Wong, M. K. M., Lee, O. C. W., Carruthers, D., Cheung, F., Chan, J. W. M., Yeung, D. W., Fung, Y. H., Zhang, X., Stocker, J., Hood, C., Hohenberger, T. L., ... Lau, A. K. H. (2020). PRAISE-HK: A personalized real-time air quality informatics system for citizen participation in exposure and health risk management. Sustainable Cities and Society, 54, Article 101986. https://doi.org/10.1016/j.scs.2019.101986

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title = "PRAISE-HK: A personalized real-time air quality informatics system for citizen participation in exposure and health risk management",

abstract = "Exposure to air pollutants causes a range of adverse health effects. These harmful effects occur whenever and wherever people come into direct contact with air pollution. Therefore, individual actions that reduce the frequency, duration, and severity of personal contact with air pollution can reduce health risks. We developed a system that empowers the public with personalized information on air quality and exposure health risk. This system, the Personalised Real-Time Air Quality Informatics System for Exposure – Hong Kong (PRAISE-HK, http://praise.ust.hk/), is embodied in an interactive mobile application. PRAISE-HK is based on real-time data on emissions, high resolution urban morphology, meteorology, physical and chemical processes affecting pollutant transport and transformations, extensive measurements of air pollution concentrations in typical locations such as homes, schools, offices, and transportation, and big data integration of sensor monitoring to accurately estimate current and short-term forecasted street-level air quality. The street-level air quality simulation has been validated against reference monitoring data. Ongoing and planned future enhancements to PRAISE-HK include prediction of personal exposure and health response. PRAISE-HK is an example of the use of collective intelligence in a smart city to engage citizens in learning about and managing their own exposure to air pollution.{\textcopyright} 2019 Elsevier Ltd",

keywords = "Air pollution, Citizen engagement, Individual health sensitivity, Personalized exposure",

author = "Wenwei Che and Frey, {H. Christopher} and Fung, {Jimmy C.H.} and Zhi Ning and Huamin Qu and Lo, {Hong Kam} and Lei Chen and Tze-Wai Wong and Wong, {Michelle K.M.} and Lee, {Ophelia C.W.} and David Carruthers and Freeman Cheung and Chan, {Jimmy W.M.} and Yeung, {David W.} and Fung, {Yik Him} and Xuguo Zhang and Jenny Stocker and Christina Hood and Hohenberger, {Tilman Leo} and Leung, {King Wai} and Louie, {Phillip Y.K.} and Li, {Alison T.Y.} and Li Sun and Peng Wei and Zhiyuan Li and Yumiao Zhang and Meilan Wang and Qiaomu Shen and Wei Huang and Enoch Lee and Ashraf Patwary and Xiayu Lei and Steven Cheng and {Shakhaoat Hossain}, Md and Tang, {Kimberly Tasha Jiayi} and XiangQian Lao and Rae Leung and Denise Chan and Ying Li and Zibing Yuan and Lau, {Alexis K.H.}",

note = "Publisher Copyright: {\textcopyright} 2019 Elsevier Ltd",

year = "2020",

month = mar,

doi = "10.1016/j.scs.2019.101986",

language = "English",

volume = "54",

journal = "Sustainable Cities and Society",

issn = "2210-6707",

publisher = "Elsevier B.V.",

}

Che, W, Frey, HC, Fung, JCH, Ning, Z, Qu, H, Lo, HK, Chen, L, Wong, T-W, Wong, MKM, Lee, OCW, Carruthers, D, Cheung, F, Chan, JWM, Yeung, DW, Fung, YH, Zhang, X, Stocker, J, Hood, C, Hohenberger, TL, Leung, KW, Louie, PYK, Li, ATY, Sun, L , Wei, P, Li, Z, Zhang, Y, Wang, M, Shen, Q, Huang, W, Lee, E, Patwary, A, Lei, X, Cheng, S, Shakhaoat Hossain, M, Tang, KTJ, Lao, X, Leung, R, Chan, D, Li, Y, Yuan, Z & Lau, AKH 2020, 'PRAISE-HK: A personalized real-time air quality informatics system for citizen participation in exposure and health risk management', Sustainable Cities and Society, vol. 54, 101986. https://doi.org/10.1016/j.scs.2019.101986

TY - JOUR

T1 - PRAISE-HK

T2 - A personalized real-time air quality informatics system for citizen participation in exposure and health risk management

AU - Che, Wenwei

AU - Frey, H. Christopher

AU - Fung, Jimmy C.H.

AU - Ning, Zhi

AU - Qu, Huamin

AU - Lo, Hong Kam

AU - Chen, Lei

AU - Wong, Tze-Wai

AU - Wong, Michelle K.M.

AU - Lee, Ophelia C.W.

AU - Carruthers, David

AU - Cheung, Freeman

AU - Chan, Jimmy W.M.

AU - Yeung, David W.

AU - Fung, Yik Him

AU - Zhang, Xuguo

AU - Stocker, Jenny

AU - Hood, Christina

AU - Hohenberger, Tilman Leo

AU - Leung, King Wai

AU - Louie, Phillip Y.K.

AU - Li, Alison T.Y.

AU - Sun, Li

AU - Wei, Peng

AU - Li, Zhiyuan

AU - Zhang, Yumiao

AU - Wang, Meilan

AU - Shen, Qiaomu

AU - Huang, Wei

AU - Lee, Enoch

AU - Patwary, Ashraf

AU - Lei, Xiayu

AU - Cheng, Steven

AU - Shakhaoat Hossain, Md

AU - Tang, Kimberly Tasha Jiayi

AU - Lao, XiangQian

AU - Leung, Rae

AU - Chan, Denise

AU - Li, Ying

AU - Yuan, Zibing

AU - Lau, Alexis K.H.

PY - 2020/3

Y1 - 2020/3

N2 - Exposure to air pollutants causes a range of adverse health effects. These harmful effects occur whenever and wherever people come into direct contact with air pollution. Therefore, individual actions that reduce the frequency, duration, and severity of personal contact with air pollution can reduce health risks. We developed a system that empowers the public with personalized information on air quality and exposure health risk. This system, the Personalised Real-Time Air Quality Informatics System for Exposure – Hong Kong (PRAISE-HK, http://praise.ust.hk/), is embodied in an interactive mobile application. PRAISE-HK is based on real-time data on emissions, high resolution urban morphology, meteorology, physical and chemical processes affecting pollutant transport and transformations, extensive measurements of air pollution concentrations in typical locations such as homes, schools, offices, and transportation, and big data integration of sensor monitoring to accurately estimate current and short-term forecasted street-level air quality. The street-level air quality simulation has been validated against reference monitoring data. Ongoing and planned future enhancements to PRAISE-HK include prediction of personal exposure and health response. PRAISE-HK is an example of the use of collective intelligence in a smart city to engage citizens in learning about and managing their own exposure to air pollution.© 2019 Elsevier Ltd

AB - Exposure to air pollutants causes a range of adverse health effects. These harmful effects occur whenever and wherever people come into direct contact with air pollution. Therefore, individual actions that reduce the frequency, duration, and severity of personal contact with air pollution can reduce health risks. We developed a system that empowers the public with personalized information on air quality and exposure health risk. This system, the Personalised Real-Time Air Quality Informatics System for Exposure – Hong Kong (PRAISE-HK, http://praise.ust.hk/), is embodied in an interactive mobile application. PRAISE-HK is based on real-time data on emissions, high resolution urban morphology, meteorology, physical and chemical processes affecting pollutant transport and transformations, extensive measurements of air pollution concentrations in typical locations such as homes, schools, offices, and transportation, and big data integration of sensor monitoring to accurately estimate current and short-term forecasted street-level air quality. The street-level air quality simulation has been validated against reference monitoring data. Ongoing and planned future enhancements to PRAISE-HK include prediction of personal exposure and health response. PRAISE-HK is an example of the use of collective intelligence in a smart city to engage citizens in learning about and managing their own exposure to air pollution.© 2019 Elsevier Ltd

KW - Air pollution

KW - Citizen engagement

KW - Individual health sensitivity

KW - Personalized exposure

UR - http://www.scopus.com/inward/record.url?scp=85078175966&partnerID=8YFLogxK

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85078175966&origin=recordpage

U2 - 10.1016/j.scs.2019.101986

DO - 10.1016/j.scs.2019.101986

M3 - RGC 21 - Publication in refereed journal

AN - SCOPUS:85078175966

SN - 2210-6707

VL - 54

JO - Sustainable Cities and Society

JF - Sustainable Cities and Society

M1 - 101986

ER -

PRAISE-HK: A personalized real-time air quality informatics system for citizen participation in exposure and health risk management

Abstract

Funding

Research Keywords

UN SDGs

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