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Measuring the impact of an exogenous factor: An exponential smoothing model of the response of shipping to COVID-19.
Zhao, Hong-Mei; He, Hong-Di; Lu, Kai-Fa; Han, Xiao-Long; Ding, Yi; Peng, Zhong-Ren.
  • Zhao HM; Center for Intelligent Transportation Systems and Unmanned Aerial Systems Applications, State Key Laboratory of Ocean Engineering, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
  • He HD; School of Economics and Management, Shanghai Maritime University, Shanghai, 200135, China.
  • Lu KF; Center for Intelligent Transportation Systems and Unmanned Aerial Systems Applications, State Key Laboratory of Ocean Engineering, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
  • Han XL; International Center for Adaptation Planning and Design, College of Design, Construction and Planning, University of Florida, PO Box 115706, Gainesville, FL, 32611-5706, USA.
  • Ding Y; Logistics Research Center, Shanghai Maritime University, Shanghai, 200135, China.
  • Peng ZR; Logistics Research Center, Shanghai Maritime University, Shanghai, 200135, China.
Transp Policy (Oxf) ; 118: 91-100, 2022 Mar.
Article en En | MEDLINE | ID: mdl-35125683
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Año: 2022 Tipo del documento: Article
Texto completo
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XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Año: 2022 Tipo del documento: Article