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  • Search: person:"Wan, Chengpeng"
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Year of publication
Subject
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Maritime safety 5 Seeverkehrssicherheit 5 Schifffahrt 4 Shipping 4 Bayesian network 3 Cargo shipping 3 Container terminal 3 Containerterminal 3 Frachtschifffahrt 3 Lieferkette 3 Supply chain 3 Artificial intelligence 2 Asia 2 Asien 2 Bayes-Statistik 2 Bayesian inference 2 China 2 Container shipping 2 Container transport 2 Containerschifffahrt 2 Containerverkehr 2 Dauer 2 Duration 2 Duration of detention 2 Forecasting model 2 Künstliche Intelligenz 2 Prognoseverfahren 2 Risikomanagement 2 Risk management 2 Welt 2 World 2 maritime safety 2 Arbeitsschutz 1 Bibliometrics 1 Bibliometrie 1 Business network 1 Combined evaluation model 1 Delphi 1 Duration analysis 1 Duration prediction 1
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Online availability
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Undetermined 9
Type of publication
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Article 9
Type of publication (narrower categories)
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Article in journal 8 Aufsatz in Zeitschrift 8
Language
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English 9
Author
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Wan, Chengpeng 9 Yang, Zaili 8 Zhang, Di 6 Yan, Xinping 3 Qu, Zhuohua 2 Tao, Jiale 2 Yang, Zhisen 2 Yu, Qing 2 Alyami, Hani 1 Bonsall, Stephen 1 Fan, Shiqi 1 Li, Xinyuan 1 Man, Jie 1 Riahi, Ramin 1 Wang, Jin 1 Yin, Jingbo 1
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Published in...
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International journal of shipping and transport logistics : IJSTL 2 Transportation research / E : an international journal 2 Maritime economics & logistics 1 The International Journal of Logistics Management 1 The international journal of logistics management 1 Transport reviews : TR 1 Transportation research : an international journal 1
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Source
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ECONIS (ZBW) 8 Other ZBW resources 1
Showing 1 - 9 of 9
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A novel hybrid deep-learning framework for medium-term container throughput forecasting : an application to China's Guangzhou, Qingdao and Shanghai hub ports
Zhang, Di; Li, Xinyuan; Wan, Chengpeng; Man, Jie - In: Maritime economics & logistics 26 (2024) 1, pp. 44-73
Persistent link: https://www.econbiz.de/10014507738
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A data-driven Bayesian model for evaluating the duration of detention of ships in PSC inspections
Yang, Zhisen; Yu, Qing; Yang, Zaili; Wan, Chengpeng - In: Transportation research : an international journal 181 (2024), pp. 1-26
Persistent link: https://www.econbiz.de/10014462570
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A machine learning-based Bayesian model for predicting the duration of ship detention in PSC inspection
Yang, Zhisen; Wan, Chengpeng; Yu, Qing; Yin, Jingbo; … - In: Transportation research / E : an international journal 180 (2023), pp. 1-25
Persistent link: https://www.econbiz.de/10014461252
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Selection of safety measures in container ports
Alyami, Hani; Yang, Zaili; Riahi, Ramin; Bonsall, Stephen; … - In: International journal of shipping and transport … 16 (2023) 3/4, pp. 425-453
Persistent link: https://www.econbiz.de/10014311146
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Evaluating recovery strategies for the disruptions in liner shipping networks : a resilience approach
Wan, Chengpeng; Tao, Jiale; Yang, Zaili; Zhang, Di - In: The international journal of logistics management 33 (2022) 2, pp. 389-409
Persistent link: https://www.econbiz.de/10013429485
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Analysis of risk factors influencing the safety of maritime container supply chains
Wan, Chengpeng; Yan, Xinping; Zhang, Di; Yang, Zaili - In: International journal of shipping and transport … 11 (2019) 6, pp. 476-507
Persistent link: https://www.econbiz.de/10012162342
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An advanced fuzzy Bayesian-based FMEA approach for assessing maritime supply chain risks
Wan, Chengpeng; Yan, Xinping; Zhang, Di; Qu, Zhuohua; … - In: Transportation research / E : an international journal 125 (2019), pp. 222-240
Persistent link: https://www.econbiz.de/10012022208
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Resilience in transportation systems : a systematic review and future directions
Wan, Chengpeng; Yang, Zaili; Zhang, Di; Yan, Xinping; … - In: Transport reviews : TR 38 (2018) 4, pp. 479-498
Persistent link: https://www.econbiz.de/10011917302
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Evaluating recovery strategies for the disruptions in liner shipping networks : a resilience approach
Wan, Chengpeng; Tao, Jiale; Yang, Zaili; Zhang, Di - In: The International Journal of Logistics Management 33 (2021) 2, pp. 389-409
Purpose: Since the start of the current century, the world at large has experienced uncertainties as a result of climate change, terrorism threats and increasing economic upheaval. These uncertainties create non-classical risks for global seaborne container trade and liner shipping networks...
Persistent link: https://www.econbiz.de/10012811571
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