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Conference Paper: Measuring Climate Resilience of Hong Kong's Transportation System
Title | Measuring Climate Resilience of Hong Kong's Transportation System |
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Authors | |
Issue Date | 2017 |
Publisher | The Institute for Operations Research and the Management Sciences (Informs). |
Citation | 2017 INFORMS Annual Meeting, Houston, TX, 22-25 October 2017 How to Cite? |
Abstract | Transportation plays an important role in a society’s daily operation. Under the background of global warming, there are more extreme weather events, such as tropical cyclone, rainstorm, etc. Almost all modes of Hong Kong’s transportation will be affected by these events. The impact reflects on the decrease in road capacity, the increase in transportation time, etc. Resilience is the ability of a system to maintain its main function when disaster or emergency happens. This research uses stochastic programming to model a multi-modal transportation network under adverse weather condition for Hong Kong and does analysis on network resilience. |
Description | Session MP04 - Monday Poster Session |
Persistent Identifier | http://hdl.handle.net/10722/247838 |
DC Field | Value | Language |
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dc.contributor.author | Huang, X | - |
dc.contributor.author | Wang, J | - |
dc.date.accessioned | 2017-10-18T08:33:28Z | - |
dc.date.available | 2017-10-18T08:33:28Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | 2017 INFORMS Annual Meeting, Houston, TX, 22-25 October 2017 | - |
dc.identifier.uri | http://hdl.handle.net/10722/247838 | - |
dc.description | Session MP04 - Monday Poster Session | - |
dc.description.abstract | Transportation plays an important role in a society’s daily operation. Under the background of global warming, there are more extreme weather events, such as tropical cyclone, rainstorm, etc. Almost all modes of Hong Kong’s transportation will be affected by these events. The impact reflects on the decrease in road capacity, the increase in transportation time, etc. Resilience is the ability of a system to maintain its main function when disaster or emergency happens. This research uses stochastic programming to model a multi-modal transportation network under adverse weather condition for Hong Kong and does analysis on network resilience. | - |
dc.language | eng | - |
dc.publisher | The Institute for Operations Research and the Management Sciences (Informs). | - |
dc.relation.ispartof | INFORMS Annual Meeting | - |
dc.title | Measuring Climate Resilience of Hong Kong's Transportation System | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Wang, J: jwwang@hku.hk | - |
dc.identifier.authority | Wang, J=rp01888 | - |
dc.identifier.hkuros | 280065 | - |
dc.publisher.place | Houston, TX | - |