Strategic investment in enhancing port–hinterland container transportation network resilience : a network game theory approach
China's “Belt and Road” strategy emphasizes the significance of maritime logistics. To ensure the efficiency and safety of landside maritime logistics, this study aims to investigate the strategic investment of players in a port–hinterland container transportation network to enhance network res...
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sg-ntu-dr.10356-1422302020-06-17T08:16:16Z Strategic investment in enhancing port–hinterland container transportation network resilience : a network game theory approach Chen, Hong Lam, Jasmine Siu Lee Liu, Nan School of Civil and Environmental Engineering Engineering::Civil engineering Port–hinterland Container Transportation Network Resilience China's “Belt and Road” strategy emphasizes the significance of maritime logistics. To ensure the efficiency and safety of landside maritime logistics, this study aims to investigate the strategic investment of players in a port–hinterland container transportation network to enhance network resilience to man-made unconventional emergency events by reducing vulnerability. Given the complexity of the involvement of multiple players and their interacting complementary and competitive business relationships, network game theory is adopted. Results show that the complementary influence Bonacich centrality of players plays a critical role in determining their investment decisions and serves as basis from which useful managerial insights can be derived. 2020-06-17T08:16:15Z 2020-06-17T08:16:15Z 2018 Journal Article Chen, H., Lam, J. S. L., & Liu, N. (2018). Strategic investment in enhancing port–hinterland container transportation network resilience : a network game theory approach. Transportation Research Part B: Methodological, 111, 83-112. doi:10.1016/j.trb.2018.03.004 0191-2615 https://hdl.handle.net/10356/142230 10.1016/j.trb.2018.03.004 2-s2.0-85044134346 111 83 112 en Transportation Research Part B: Methodological © 2018 Elsevier Ltd. All rights reserved. |
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Engineering::Civil engineering Port–hinterland Container Transportation Network Resilience Chen, Hong Lam, Jasmine Siu Lee Liu, Nan Strategic investment in enhancing port–hinterland container transportation network resilience : a network game theory approach |
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China's “Belt and Road” strategy emphasizes the significance of maritime logistics. To ensure the efficiency and safety of landside maritime logistics, this study aims to investigate the strategic investment of players in a port–hinterland container transportation network to enhance network resilience to man-made unconventional emergency events by reducing vulnerability. Given the complexity of the involvement of multiple players and their interacting complementary and competitive business relationships, network game theory is adopted. Results show that the complementary influence Bonacich centrality of players plays a critical role in determining their investment decisions and serves as basis from which useful managerial insights can be derived. |
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School of Civil and Environmental Engineering |
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School of Civil and Environmental Engineering Chen, Hong Lam, Jasmine Siu Lee Liu, Nan |
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Article |
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Chen, Hong Lam, Jasmine Siu Lee Liu, Nan |
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Chen, Hong |
title |
Strategic investment in enhancing port–hinterland container transportation network resilience : a network game theory approach |
title_short |
Strategic investment in enhancing port–hinterland container transportation network resilience : a network game theory approach |
title_full |
Strategic investment in enhancing port–hinterland container transportation network resilience : a network game theory approach |
title_fullStr |
Strategic investment in enhancing port–hinterland container transportation network resilience : a network game theory approach |
title_full_unstemmed |
Strategic investment in enhancing port–hinterland container transportation network resilience : a network game theory approach |
title_sort |
strategic investment in enhancing port–hinterland container transportation network resilience : a network game theory approach |
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2020 |
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https://hdl.handle.net/10356/142230 |
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1681057624765759488 |