A prototype mobile App for the Landslide Information System (LIS)
The Hong Kong Jockey Club Disaster Preparedness and Response Institute (HKJCDPRI) Research Grant 2016 was awarded to the Hong Kong University of Science and Technology (HKUST). The research aims at developing a new smart Landslide Information System (LIS) that can improve the planning of access and evacuation routes for emergency responders during intense rainstorms. Furthermore, the LIS aims to provide easily accessible real-time landslide information to the public and to enhance landslide incident reporting in Hong Kong via smart technology.
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Publications & Research
Publications & Research
We provide a platform between researchers, disaster practitioners, healthcare professionals and students for expertise exchange, collaboration and policy discussion.
Publications & Research
The HKJCDPRI Publications Section contains collaborative researches and publications with our partners and renowned academic institutions, and other research and development projects related to disaster preparedness and response.
The Guidelines section contains our selected collection of technical information, operational guidelines and useful tools for disaster management.
The Blog sub-section provides a platform where our team and peers share news and updates, as well as opinions and experiences in building disaster preparedness for the communities.
The blog posts are written by the author in his own personal capacity / affiliation stated. The views, thoughts and opinions expressed in the post belong solely to the author and does not necessarily represent those of Hong Kong Jockey Club Disaster Preparedness and Response Institute.
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2017
14/07/2017
A prototype mobile App for the Landslide Information System (LIS)
The Hong Kong Jockey Club Disaster Preparedness and Response Institute (HKJCDPRI) Research Grant 2016 was awarded to the Hong Kong University of Science and Technology (HKUST). The research aims at developing a new smart Landslide Information System (LIS) that can improve the planning of access and evacuation routes for emergency responders during intense rainstorms. Furthermore, the LIS aims to provide easily accessible real-time landslide information to the public and to enhance landslide incident reporting in Hong Kong via smart technology.
The HKUST Research Team has characterised relationships between landslide failure mechanisms and rainfall. Landslide hazard mapping was adopted to verify correlations between rainfall and landslide occurrence. The hazard map will be incorporated into the LIS mobile App which is currently under development (see Figs. 1 and 2 below for snapshots of the mobile App). It is envisioned that the final product will display and disseminate real-time landslide information, provide emergency routing information to emergency responders and identify high-risk landslide areas with the application of the landslide susceptibility model.
Later in October 2017, the HKUST Research Team will attend an international geotechnical conference in Canada (GEO Ottawa 2017) to share their research findings on the LIS mobile application.
This research demonstrates how innovative smart technology can be used as an early warning system and play a major role in reducing risk associated with landslides. More findings and progress on this research will be shared in the coming half year.
For more information, please contact us at hkjcdpri@hkam.org.hk or (852) 2871 8507.
Prof. Clarence Choi, in-charge of the research project.
HKUST Research Team (left to right)
Back: Mr. George Goodwin (PhD Student); Prof Clarence Choi; Mr. Haiming Liu (PhD Student)
Front: Mr. Luis Liu (PhD Student); Mr. Desmond Cheung (PhD Student); Mr. Chao Wang (PhD Student)
14/07/2017
Aiming at providing accessible real-time landslide information to the public and leverage smart technology to enhance landslide incident reporting in Hong Kong, the Hong Kong University of Science and Technology is developing a new smart Landslide Information System (LIS), which will be supported by the Hong Kong Jockey Club Disaster Preparedness and Response Institute Research Grant 2016.
The research team consisted of three prominent scholars including Prof Clarence Choi, Research Assistant Professor from the Department of Civil and Environmental Engineering (Principal Investigator), Prof Qian Zhang, Chair Professor from the Department of Computer Science and Engineering and Prof Charles Ng, Chair Professor from the Department of Civil and Environmental Engineering.
Aiming at providing accessible real-time landslide information to the public and leverage smart technology to enhance landslide incident reporting in Hong Kong, the Hong Kong University of Science and Technology is developing a new smart Landslide Information System (LIS), which will be supported by the Hong Kong Jockey Club Disaster Preparedness and Response Institute Research Grant 2016.
The research team consisted of three prominent scholars including Prof Clarence Choi, Research Assistant Professor from the Department of Civil and Environmental Engineering (Principal Investigator), Prof Qian Zhang, Chair Professor from the Department of Computer Science and Engineering and Prof Charles Ng, Chair Professor from the Department of Civil and Environmental Engineering.
It is hoped that the development of the system will improve planning of access and evacuation routes for emergency responders during intense storms when transportation lines are obstructed by landslides, enhance characterisation of landslide failure mechanism to better inform and protect emergency responders and the public of areas susceptible to landslide failures. The system also intends to enrich landslide incident database, in terms of scale, responsiveness, and communication of information to geotechnical engineers during intense storms.
For more information, please contact us at hkjcdpri@hkam.org.hk or at (852) 2871 8507.
Keung Shan Road landslides, Tai O, Hong Kong, 2008
28/04/2017
Early warning systems are critical to protecting populations from harm during disasters. The recent Sendai Framework for Disaster Risk Reduction highlights a need to increase the availability of and access to early warning systems as a priority target.1 A number of nations, including Hong Kong, have already established highly developed early warning systems. However, the changing landscape of communication technologies has created both opportunities and challenges for people as they navigate a greater number of information networks, and a higher frequency of messaging.
Early warning systems are critical to protecting populations from harm during disasters. The recent Sendai Framework for Disaster Risk Reduction highlights a need to increase the availability of and access to early warning systems as a priority target.1 A number of nations, including Hong Kong, have already established highly developed early warning systems. However, the changing landscape of communication technologies has created both opportunities and challenges for people as they navigate a greater number of information networks, and a higher frequency of messaging.
27/04/2017
(The link to the abstract is under "To Know More" on the right)
Volume 32, Issue S1 (Abstracts of Scientific Papers-WADEM Congress on Disaster and Emergency Medicine 2017)
Authors: Thomas C. Hughes1, Anisa J.N. Jafar2, Chrissy Alcock3, Brigid Hayden3, Philip Gaffney4, John Simpson3 and Anthony Redmond2
1 Emergency Department, John Radcliffe Hospital, Oxford/United Kingdom
2 University Of Manchester, HCRI, Manchester/United Kingdom
3 UK Med, Manchester/United Kingdom
4 Xenplate, Cambridge/United Kingdom
(The link to the abstract is under "To Know More" on the right)
Volume 32, Issue S1 (Abstracts of Scientific Papers-WADEM Congress on Disaster and Emergency Medicine 2017)
Authors: Thomas C. Hughes1, Anisa J.N. Jafar2, Chrissy Alcock3, Brigid Hayden3, Philip Gaffney4, John Simpson3 and Anthony Redmond2
1 Emergency Department, John Radcliffe Hospital, Oxford/United Kingdom
2 University Of Manchester, HCRI, Manchester/United Kingdom
3 UK Med, Manchester/United Kingdom
4 Xenplate, Cambridge/United Kingdom
