重庆交通大学学报(社会科学版) ›› 2023, Vol. 23 ›› Issue (2): 45-52.

• 人文交通 • 上一篇    下一篇

沿海省域组合港空间分布特征及航运可达性

李露露1,潘静静1,2,3,胡喜生1   

  1. 1.福建农林大学 交通与土木工程学院,福州 350108;2.福建省交通规划设计院有限公司,福州 350004; 3.福建江夏学院 工商管理学院,福州 350108
  • 收稿日期:2022-05-26 修回日期:2022-08-05 出版日期:2023-04-12 发布日期:2023-04-12
  • 作者简介:李露露,女,福建农林大学硕士研究生;潘静静,女,福建农业大学讲师,博士。
  • 基金资助:
    国家自然科学基金项目“森林覆盖空间位移的格局、过程与机制”(31971639);教育部人文社会科学基金项目“省域一体化视角下沿海组合港连通性评价及优化策略研究”(21YJC630103)

Spatial Distribution Characteristics and Shipping Accessibility of Chinas Coastal Provincial Combined Ports

LI Lulu1, PAN Jingjing1,2,3, HU Xisheng1   

  1. [1]潘文达.论区域港口一体化的发展方式[J].中国港口,2019,34(5):1-5. [2]苏孟超,薛天寒,丁文涛,等.区域港口资源整合的成因分析与经验启示[J].港工技术,2018,55(3):63-67. [3]宁涛.对区域港口发展一体化改革的思考[J].交通与港航,2016,3(4):12-13. [4]王柏玲,朱芳阳.我国港口资源整合的新态势及其经济效应[J].广西社会科学,2018,34(9):73-77. [5]潘文达.从组合港视角看我国区域港口一体化发展[J].水运管理,2019,41(1):1-5. [6]章强,殷明.中国区域港口一体化的由来、起点、内涵和展望[J].大连海事大学学报(社会科学版),2018,17(6):43-49. [7]王诺,刘晓东,谢春晓.组合港形式研究[J].水运工程,2007,32(8):28-32. [8]杨亦权.区域港口一体化的思考[J].中国高新区, 2018,18(18):114-115. [9]贺向阳,唐斐.国内外港口一体化发展现状[J].港口经济,2017,18(8):22-25. [10]章强,何凯,GEERLINGS H.我国省域港口资源整合的驱动机制与实践模式研究[J].浙江海洋大学学报(人文科学版),2017,34(4):8-16. [11]张宝清,盛进路.组合港研究综述[J].交通财会,2018,33(5):9-16. [12]YANG Z,GUO L,LIAN F.Port integration in a region with multiport gateways in the context of industrial transformation and upgrading of the port[J].Transportation research part E:logistics and transportation review,2019,122:231-246. [13]DONG G, ZHENG S, LEE P T W. The effects of regional port integration:the case of NingboZhoushan port[J]. Transportation research part E:logistics and transportation review,2018,120:1-15. [14]WU S,YANG Z.Analysis of the case of port cooperation and integration in Liaoning (China)[J].Research in transportation business & management,2018,26:18-25. [15]INOUE S.Realities and challenges of port alliance in Japan:ports of Kobe and Osaka[J].Research in transportation business & management,2018,26:45-55. [16]杜超,王姣娥,莫辉辉.中国集装箱航运网络空间格局及复杂性研究[J].长江流域资源与环境,2016,25(2):190-198. [17]郭建科,侯雅洁,何瑶.“一带一路”背景下中欧港口航运网络的演化特征[J].地理科学进展,2020,39(5):716-726. [18]万程鹏,陶嘉乐,伍静,等.新冠肺炎疫情对中国国际航运网络空间格局影响分析[J].交通信息与安全,2020,38(2):129-135. [19]刘婵娟,胡志华,杨正璇.基于社会网络的全球集装箱海运网络层次体系与派系划分[J].世界地理研究,2019,28(6):68-76. [20]王列辉,郑渊博,叶斐.航运企业重组与集装箱航运网络整合效应研究:以中国远洋海运集团有限公司为例[J].地理科学,2019,39(4):560-567. [21]靳廉洁,姚海元,胡贵麟,等.我国沿海集装箱运输及码头能力适应性分析[J].水运工程,2022,47(5):44-49. [22]刘涛,刘均卫.长江干线集装箱港口体系集中度演进分析[J].经济地理,2018,38(3):113-119. [23]潘坤友,曹有挥,魏鸿雁.长三角地区集装箱航运网络演化与效应[J].经济地理,2018,38(2):90-97. [24]张新放,吕靖.21世纪海上丝绸之路港口体系时空格局演变[J].经济地理,2019,39(11):33-40. [25]彭琰,李振福.“冰上丝绸之路”货物吸引的中国沿海港口空间分异及类型识别[J].运筹与管理,2020,29(12):133-139. [26]WANG T,MENG Q,WANG S,et al.Risk management in liner ship fleet deployment:a joint chance constrained programming model[J].Transportation research part E:logistics and transportation review,2013,60:1-12. [27]王爱虎,匡桂华.中国沿海集装箱港口群体系结构演化与竞争态势[J].经济地理,2014,34(6):92-99. [28]郭政,董平,陆玉麒,等.长三角集装箱港口体系演化及影响因素分析[J].长江流域资源与环境,2018,27(7): 1423-1432. [29]汪小帆.网络科学导论[M].北京:高等教育出版社,2012. Spatial Distribution Characteristics and Shipping Accessibility of Chinas Coastal Provincial Combined Ports LI Lulu1, PAN Jingjing1,2,3, HU Xisheng1 (1.College of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou 350108, China; 2.Fujian Communications Planning & Design Institute, Fuzhou 350004, China; 3.College of Business Administration, Fujian Jiangxia University, Fuzhou 350108, China
  • Received:2022-05-26 Revised:2022-08-05 Online:2023-04-12 Published:2023-04-12

摘要: 港口业的省域一体化改革驱动省域组合港形成。为明确我国沿海省域组合港在国内、国际港口体系中的地位,将沿海11个省级行政单位的港口作为研究对象,搜集港口吞吐量和班轮航线数据,借助市场集中度和复杂网络分析方法,选取市场份额、赫希曼-赫芬达尔指数、基尼系数、可达效率和介数中心性5个指标,分析我国沿海省域组合港的空间分布特征及航运可达性,为沿海省域组合港错位发展提供理论参考。

关键词: 航运网络;空间分布特征;航运可达性;省域组合港;省域一体化

Abstract: Provincial integration reform in the port industry drives the formation of provincial combined ports. In order to clarify the position of Chinas coastal provincial combined ports in the domestic and international port system, this paper takes 11 combined ports as the research object, collects the data of port throughput and liner shipping services, uses the methods of market concentration and complex network analysis, and selects five indicators including market share, HirschmanHerfindahl index, Gini coefficient, reachability efficiency and betweenness centrality to analyze the spatial distribution characteristics and shipping accessibility of Chinas coastal provincial combined ports. The research results may provide theoretical reference for the development of coastal provincial combined ports.

Key words: shipping network; spatial distribution characteristics; shipping accessibility; provincial combined port; provincial port integration