Comprehensive Application of Two Kinds Models in Inland Dry
 Port Location

doi:10.3969/j.issn.1674-0696.2016.01.34

Journal of Chongqing Jiaotong University(Natural Science) ›› 2016, Vol. 35 ›› Issue (1): 177-183.DOI: 10.3969/j.issn.1674-0696.2016.01.34

• Traffic & Transportation Engineering • Previous Articles Next Articles

Comprehensive Application of Two Kinds Models in Inland Dry Port Location

LIANG Chengji¹, JIA Jiongjiong¹, XU Dehong², LU Bo³

1. Logistics Research Center, Shanghai Maritime University, Shanghai 201306,P.R.China; 2. Logistics Institute, Xi’an International University, Xi’an 710000, Shaanxi,P.R.China; 3. School of Management, University of Chinese Academy of Sciences, Beijing 100049,P.R.China

Received:2014-10-21 Revised:2014-12-08 Online:2016-02-20 Published:2016-04-21

两种模型在内陆无水港选址中的综合应用

梁承姬¹，嘉熲煚¹，徐德洪²，鲁渤³

1. 上海海事大学物流研究中心，上海 201306；2. 西安外事学院物流学院，陕西西安 710000；3. 中国科学院大学管理学院，北京 100049

作者简介:梁承姬(1971—)，女(朝鲜族)，吉林龙井人，教授，博士，主要从事物流系统运作计划与优化、口岸物流流程模拟与重组、港口布局优化与模拟、港口安全工程等方面的研究。E-mail:xionglong210@126.com。
基金资助:
国家自然科学基金项目(71471110,71301101)；中国博士后科学基金项目(2014M550084)

Abstract

Abstract: The dry port location problem was studied from two different perspectives, such as the geographical factors and economic factors, and a set covering model and a fuzzy clustering model were established. And the case study was also carried out. Finally, through comprising the results of the two kinds of location models, the optimum location of the inland dry port was determined, which reduced the blind construction, avoided the waste of resources, and achieved the maximum benefit with the minimum expenditure.

Key words: management engineering, dry port location, set covering model, fuzzy clustering model

摘要： 从地理位置因素和经济因素两个不同的角度出发进行无水港选址研究，建立了集合覆盖模型和模糊聚类分析模型，并进行了实例分析，最后通过对两种选址模型的结果进行比较，确定了最佳的内陆无水港建设地，从而减少盲目建设，避免资源浪费，达到以最小的支出获得最大的利益的效果。

关键词: 管理工程, 无水港选址, 集合覆盖模型, 模糊聚类模型

CLC Number:

LIANG Chengji, JIA Jiongjiong, XU Dehong, LU Bo. Comprehensive Application of Two Kinds Models in Inland Dry Port Location[J]. Journal of Chongqing Jiaotong University(Natural Science), 2016, 35(1): 177-183.

梁承姬，嘉熲煚，徐德洪，鲁渤. 两种模型在内陆无水港选址中的综合应用[J]. 重庆交通大学学报（自然科学版）, 2016, 35(1): 177-183.

References

［1］RODRIGUE J P,DEBRIE J,FREMONT A,et al.Functions and actors of inland ports:European and north American dynamics ［J］.Journal of Transport Geography,2010,18(4):519-529.
［2］Andrius Jaremskis,VASILIAUSKAS A V.Research on dry port concept as intermodal node ［J］.Transport,2007,22 (3):207-213.
［3］ROSO V,WOXENIUS J,LUMSDEN K.The dry port concept:connecting seaports with their hinterland ［J］.Journal of Transport Geography,2009,17(5):338-345.
［4］RUTTEN B J C M.The design of a terminal network for inter modal transport ［J］.Transport Logistics,1998,1(4):279-298.
［5］XU Yuanquan.A Discrete Choice Based Facility Location Modal for Inland Container Depot.［D］.Morgantown,West Virginia,USA:West Virginia University,1999.
［6］BERNARD G,JEAN-YVES Potvin.A tuba search with slope scaling for the multi-commodity capacitated location problem with balancing requirements ［J］.Annals of Operations Research,2003,122(1/4):193-217.
［7］YANG Hua.Inland Port Location Model Under Trans Texas Corridor Concept ［D］.Texas,USA:The University of Texas,2005.
［8］朱晓宁.集装箱货运站选址的模糊聚类模型与算法［J］.运筹与管理,2004,13(5):91-94.
ZHU Xiaoning.Fuzzy clustering model and algorithm for built place of container freight station ［J］.Operations Research and Management Science,2004,13(5):91-94.
［9］谢辉,盖宇仙.多因素模糊决策在集装箱中心站选址中的应用［J］ .铁道运输与经济,2006,28(1):73-75.
XIE Hui,GAI Yuxian.Fuzzy decision-making among multi-factors for location-choosing of container center station ［J］.Railway Transport and Economy,2006,28(1):73-75.
［10］王红卫.“无水港”建设及离散选择理论在选址中的应用［D］.上海:上海海事大学,2004.
WANG Hongwei.Dry Port Construction and Discrete Choice Theory in the Application of the Location ［D］.Shanghai:Shanghai Maritime University,2004.
［11］张兆民.模糊C-均值聚类在内陆无水港选址中的应用［J］ .上海海事大学学报,2008,29(4):34-38.
ZHANG Zhaomin.Applying fuzzy C-clustering to location planning of dry port ［J］.Journal of Shanghai Maritime University,2008,29(4):34- 38.
［12］杨睿.内陆干港及其选址研究［D］.上海:上海海事大学,2006.
YANG Rui.Inland Dry Port and its Location Study ［D］.Shanghai:Shanghai Maritime University,2006.
［13］邹伟宏.东北地区内陆港选址规划研究［D］.大连:大连海事大学，2009.
ZOU Weihong.Study on Inland Port Location Planning of Northwest China ［D］.Dalian:Dalian Maritime University,2009.
［14］刘瀛寰.内陆港选址风险评价模型研究［D］.大连:大连海事大学,2010.
LIU Yinghuan.The Study on Evaluation Model of Risk of Inland Port Location ［D］.Dalian:Dalian Maritime University,2010.
［15］冯社苗.基于物流海拔理论的枢纽陆港布局研究［J］.北京交通大学学报,2011,10(1):23-28.
FENG Shemiao.Study on location of hub inland port based on logistics elevation theory ［J］.Journal of Beijing Jiaotong University,2011,10(1):23-28.
［16］ROBINSON A E.Inland ports and supply chain management ［C］//Mexico:International Business Association’s 8th Annual Conference,1999.
［17］姜阳光,庞大钧.基于集合覆盖模型的城市ULS物流节点选址分析［J］.物流科技,2009(10):54-55.
JIANG Yangguang,PANG Dajun.Analysis on locations for urban ULS logistics links based on set covering model ［J］.Logistics Sci-tech,2009(10):54-55.
［18］高新波.模糊聚类分析及其应用［M］.西安:西安电子科技大学出版社,2004:31-40.
GAO Xinbo.Fuzzy Clustering Analysis and Its Application ［M］.Xi’an:Xidian University Press,2004:31-40.
［19］宋吉成.基于模糊C-均值聚类分析的青岛无水港选址研究［D］.青岛:中国海洋大学,2011.
SONG Jicheng.Research on the Location of Qingdao Port’s Dry Port Based on Fuzzy C-Means Clustering ［D］.Qingdao:Ocean University of China,2011.
［20］李芳,史小宁,胡昊.基于二项logit的无水港选址影响因素分析及预测［J］.重庆交通大学学报（自然科学版）,2012,31(5):1046- 1049.
LI Fang,SHI Xiaoning,HU Hao.Analysis of influencing factors and location prediction of dry port based on logit model ［J］.Journal of Chongqing Jiaotong University(Natural Science),2012,31(5):1046-1049.
［21］邵静静.内陆无水港的选址与集疏运系统的优化研究［D］.重庆:重庆交通大学,2014.
SHAO Jingjing.Study of the Location of the Inland Dry Port and Optimization of Consolidation and Distribution System［D］.Chongqing:Chongqing Jiaotong University,2014.

[1]	LIU Yunlong1, HUANG Chengfeng1, 2, HOU Zhongwei3. Competition Strategy of DualChannel Supply Chain Considering Consumer’s LowCarbon Preference [J]. Journal of Chongqing Jiaotong University(Natural Science), 2016, 35(6): 168-170.
[2]	YAN Nannan, ZHU Lishan. Network Optimization of Fruit and Vegetable Supply Chain Considering Carbon Trading [J]. Journal of Chongqing Jiaotong University(Natural Science), 2016, 35(6): 171-176.
[3]	WEI Guangxing, YIN Yaxian. Buy-back Contract Incorporating Fairness with a Dominant Retailer [J]. Journal of Chongqing Jiaotong University(Natural Science), 2016, 35(4): 179-184.
[4]	PAN Yuhong，ZHANG Yilong，CAI Yajun，WU Huanhuan，SUI Hongyan. Research on Highway Engineering Cost Estimation Based on the GA-BP Algorithm [J]. Journal of Chongqing Jiaotong University(Natural Science), 2016, 35(2): 141-145.
[5]	CHEN Yanru, SHAN Cui, JIANG Yangsheng, WEI Chaoheng, ZENG Donghong. Developing GA&SS Based on FRP of Multiple Forward Areas [J]. Journal of Chongqing Jiaotong University(Natural Science), 2016, 35(1): 117-121.
[6]	Xu Maozeng, Yu Guoyin. Implementation of Logistics Demand Forecasting System Based on Hybrid Programming with C # and MATLAB Hybrid Programming with C # and MATLAB [J]. Journal of Chongqing Jiaotong University(Natural Science), 2015, 34(4): 128-132.
[7]	Guo Qiaozhen, Jiang Weiguo, Wang Zhiheng. Effect of High-Speed Railway on the Spatial-Temporal Changes of Surrounding Area Land Use [J]. Journal of Chongqing Jiaotong University(Natural Science), 2015, 34(4): 133-139.
[8]	Liu Yan, Qian Yufeng, Ma Haiyan, Zhang Chunyan, Li Zhihui. Method for Highway Engineering Quota Formulation Based on Interval-Valued Fuzzy Reasoning Theory [J]. Journal of Chongqing Jiaotong University(Natural Science), 2014, 33(4): 142-146.

Comprehensive Application of Two Kinds Models in Inland Dry Port Location

两种模型在内陆无水港选址中的综合应用

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 8

Recommended Articles

Metrics