Binary latent variable modelling and its applicationin the study of air pollution in Hong Kong

2004 ◽  
Vol 23 (4) ◽  
pp. 667-684 ◽  
Author(s):  
Z. G. Hu ◽  
C. M. Wong ◽  
T. Q. Thach ◽  
T. H. Lam ◽  
A. J. Hedley
Keyword(s):  
Air Pollution ◽  
Hong Kong ◽  
Latent Variable ◽  
Latent Variable Modelling

Bayesian latent variable modelling in studies of air pollution and health

2010 ◽  
Vol 29 (26) ◽  
pp. 2732-2742 ◽  
Author(s):  
Ruth Salway ◽  
Duncan Lee ◽  
Gavin Shaddick ◽  
Stephen Walker
Keyword(s):  
Air Pollution ◽  
Latent Variable ◽  
Latent Variable Modelling

Empirical Assessment and Modeling of Traffic-induced Air Pollution

2021 ◽  
pp. 036119812110237
Author(s):  
Zhongyang Lu ◽  
Andy H. F. Chow ◽  
Jacky Leung ◽  
Haydn Kwok ◽  
Sammy Cheung
Keyword(s):  
Air Pollution ◽  
Hong Kong ◽  
Road Network ◽  
Historical Data ◽  
Flow Speed ◽  
Traffic Flows ◽  
Real World Data ◽  
Empirical Assessment ◽  
Air Quality Monitoring Stations ◽  
Transport Management

Congestion and traffic-induced air pollution are associated with population growth and economic development. Compared with congestion, there are relatively few studies on modeling and assessment of traffic-induced pollution. This paper presents an empirical assessment and analysis of traffic-induced air pollution with real-world data collected from the Hong Kong Strategic Road Network. The study employed historical data of traffic flows, speeds, and emission of air pollutants collated by the Hong Kong Transport Department and Environmental Protection Department. This paper first reveals the correlation between traffic flows, speeds, and corresponding induced pollutants including nitrogen oxides (NO2, NOX) and carbon monoxide (CO). To gain further statistical insight, a regression analysis was conducted on the flow–speed–emission relationship at three air quality monitoring stations, which revealed the significance of various factors on this relationship. This study contributes to green transport management and urban sustainability.

CROSS-BOUNDARY AIR POLLUTION CONTROL UNDER “ONE COUNTRY, TWO SYSTEMS”: PERSPECTIVES FROM HONG KONG–GUANGDONG COLLABORATION

2017 ◽  
Vol 65 (03) ◽  
pp. 601-625
Author(s):  
TING YIN TIFFANY WONG ◽  
YUAN XU ◽  
YOUNGHO CHANG
Keyword(s):  
Air Pollution ◽  
Hong Kong ◽  
Pollution Control ◽  
Local Governments ◽  
Central Government ◽  
Necessary Conditions ◽  
Air Pollution Control ◽  
Two Systems ◽  
One Country Two Systems ◽  
Effective Collaboration

This study aims to examine how “One Country, Two Systems” has shaped and influenced the collaboration on cross-boundary air pollution control between the governments of the Hong Kong Special Administrative Region and the Guangdong province. The presence of the Chinese central government significantly fostered the start of this collaboration, but the implementation and collaborative relationship were relatively weak and unsustainable due to the two local governments’ largely different interests, goals and political demands. We found that the emphasis on “One Country” especially after 2003 led to the signature of more joint agreements in comparison with what the emphasis on “Two Systems” did between 1997 and 2003. Joint agreements appear to be necessary conditions for effective collaboration, but too many of them without satisfying implementation could have resulted in less concrete benefits. A balanced stress on “One Country” and “Two Systems” might bring an appropriate number of joint agreements with good implementation for more effective collaboration.

Experiences in batch trajectory alignment for pharmaceutical process improvement through multivariate latent variable modelling

2011 ◽  
Vol 21 (10) ◽  
pp. 1370-1377 ◽  
Author(s):  
Salvador García-Muñoz ◽  
Mark Polizzi ◽  
Andrew Prpich ◽  
Cathal Strain ◽  
Adam Lalonde ◽  
...  
Keyword(s):  
Process Improvement ◽  
Latent Variable ◽  
Latent Variable Modelling

Air pollution as a risk factor for increasing hospitalizations of preschool wheeze in Hong Kong

2018 ◽  
Vol 2 (1) ◽  
pp. 11 ◽  
Author(s):  
Ka-Ka Siu ◽  
Chin-Pang Wong ◽  
RachelShui-Ping Lee ◽  
JackPak-Yeung Chan ◽  
Shuk-Yu Leung ◽  
...  
Keyword(s):  
Air Pollution ◽  
Risk Factor ◽  
Hong Kong
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