Understanding Port Choice Behavior—A Network Perspective
Abstract A novel Network-based Integrated Choice Evaluation (NICE) model is developed to enhance the multinomial logit preference (MNL) model that is widely employed in the existing port choice literature. The NICE model integrates the element of port service network with observational port attribut...
Ausführliche Beschreibung
Autor*in: |
Tang, Loon Ching [verfasserIn] |
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Format: |
Artikel |
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Sprache: |
Englisch |
Erschienen: |
2008 |
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Schlagwörter: |
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Anmerkung: |
© Springer Science+Business Media, LLC 2008 |
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Übergeordnetes Werk: |
Enthalten in: Networks and spatial economics - Springer US, 2001, 11(2008), 1 vom: 05. Nov., Seite 65-82 |
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Übergeordnetes Werk: |
volume:11 ; year:2008 ; number:1 ; day:05 ; month:11 ; pages:65-82 |
Links: |
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DOI / URN: |
10.1007/s11067-008-9081-8 |
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Katalog-ID: |
OLC2037164629 |
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understanding port choice behavior—a network perspective |
title_auth |
Understanding Port Choice Behavior—A Network Perspective |
abstract |
Abstract A novel Network-based Integrated Choice Evaluation (NICE) model is developed to enhance the multinomial logit preference (MNL) model that is widely employed in the existing port choice literature. The NICE model integrates the element of port service network with observational port attributes to identify important quality characteristics on which liner shipping companies base their port choices. An empirical study of the proposed model is conducted through the service schedules of three established liner shipping companies. Results show that port efficiency and scale economies are the more important dimensions influencing liner shipping companies’ selection of major Asian ports. Nevertheless, it is important for a competitive port to balance its efforts among all the dimensions. © Springer Science+Business Media, LLC 2008 |
abstractGer |
Abstract A novel Network-based Integrated Choice Evaluation (NICE) model is developed to enhance the multinomial logit preference (MNL) model that is widely employed in the existing port choice literature. The NICE model integrates the element of port service network with observational port attributes to identify important quality characteristics on which liner shipping companies base their port choices. An empirical study of the proposed model is conducted through the service schedules of three established liner shipping companies. Results show that port efficiency and scale economies are the more important dimensions influencing liner shipping companies’ selection of major Asian ports. Nevertheless, it is important for a competitive port to balance its efforts among all the dimensions. © Springer Science+Business Media, LLC 2008 |
abstract_unstemmed |
Abstract A novel Network-based Integrated Choice Evaluation (NICE) model is developed to enhance the multinomial logit preference (MNL) model that is widely employed in the existing port choice literature. The NICE model integrates the element of port service network with observational port attributes to identify important quality characteristics on which liner shipping companies base their port choices. An empirical study of the proposed model is conducted through the service schedules of three established liner shipping companies. Results show that port efficiency and scale economies are the more important dimensions influencing liner shipping companies’ selection of major Asian ports. Nevertheless, it is important for a competitive port to balance its efforts among all the dimensions. © Springer Science+Business Media, LLC 2008 |
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Understanding Port Choice Behavior—A Network Perspective |
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