메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
Ito Hirohito (Department of Transdisciplinary Science and Engineering Tokyo Institute of Technology Tokyo Japan) Hanaoka Shinya (Tokyo Institute of Technology) Sugishita Kashin (Department of Transdisciplinary Science and Engineering Tokyo Institute of Technology Tokyo Japan)
저널정보
한국해운물류학회 The Asian Journal of Shipping and Logistics The Asian Journal of Shipping and Logistics Vol.38 No.4
발행연도
2022.12
수록면
207 - 221 (15page)
DOI
10.1016/j.ajsl.2022.08.002

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
Several ports want cruise ships to call at their ports for economic benefits. However, the main cause of concern is the complexity of port selection behavior for cruise lines. Tracking cruise ship movement data may help them understand the port selection behavior of cruise lines. This study aimed to examine the structural changes in the cruise network by ship size in Northeast Asia from 2014 to 2019 using network science methods with automatic identification system data. We identified five key findings. First, the number of nodes and edges in the mega- and small-size ship networks was growing rapidly. Second, the small-size network was growing with unique characteristics of low density and average clustering coefficient, and high average shortest path length and diameter. Third, the hub ports of Shanghai in the megaand Hiroshima and Kobe in the small-size had gained more degrees over time. Fourth, owing to the deployment of new mega-ships in Shanghai, existing large- and mid-ships were shifting to different ports. Finally, modularity of all sizes increased over time, and the community structure became clearer. © 2022 The Authors. Production and hosting by Elsevier B.V. on behalf of The Korean Association of Shipping and Logistics, Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

목차

등록된 정보가 없습니다.

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0