Xiuqi Wang , Haibo Kuang , Guangyue Gao , Jun Yang
{"title":"东北地区铁路集装箱货运站的经济性与便利性演变:协调还是不平衡?","authors":"Xiuqi Wang , Haibo Kuang , Guangyue Gao , Jun Yang","doi":"10.1016/j.rtbm.2025.101377","DOIUrl":null,"url":null,"abstract":"<div><div>Currently, there is an urgent need to strengthen the evaluation of freight demand and spatial layout of railway container stations in China. This study, focusing on Northeast China, uses proprietary data from 95306 Railway Freight E-commerce Platforms, including 1.25 million railway container freight records from 432 stations. Using complex network models, community structures, GE matrix models, and the “center-periphery” theory, this study analyzes the evolutionary characteristics and coordination of these stations in terms of economy and convenience. The findings show that: (1) Economically strong stations cluster in the “T”-shaped Harbin-Dalian and Binzhou-Binsui lines, while high-convenience stations are concentrated in the south and northeast, showing spatial disparities. (2) The “center” region is composed of multiple small “center” stations, each of which has its own “periphery” region. The core effect of each small “center” gradually diminishes as the location changes from railway trunk lines to branch lines. (3) From 2013 to 2020, coordinated stations dominated, but the gap between imbalanced and coordinated stations gradually narrowed. Most stations showed strong stability, while some shifted dynamically between high and low-level quadrants, indicating developmental fluctuations. Based on these findings, this paper proposes relevant policy recommendations to enhance the coordinated development of stations.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"60 ","pages":"Article 101377"},"PeriodicalIF":4.4000,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evolution of the economy and convenience of railway container freight stations in Northeast China: Coordination or imbalance?\",\"authors\":\"Xiuqi Wang , Haibo Kuang , Guangyue Gao , Jun Yang\",\"doi\":\"10.1016/j.rtbm.2025.101377\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Currently, there is an urgent need to strengthen the evaluation of freight demand and spatial layout of railway container stations in China. This study, focusing on Northeast China, uses proprietary data from 95306 Railway Freight E-commerce Platforms, including 1.25 million railway container freight records from 432 stations. Using complex network models, community structures, GE matrix models, and the “center-periphery” theory, this study analyzes the evolutionary characteristics and coordination of these stations in terms of economy and convenience. The findings show that: (1) Economically strong stations cluster in the “T”-shaped Harbin-Dalian and Binzhou-Binsui lines, while high-convenience stations are concentrated in the south and northeast, showing spatial disparities. (2) The “center” region is composed of multiple small “center” stations, each of which has its own “periphery” region. The core effect of each small “center” gradually diminishes as the location changes from railway trunk lines to branch lines. (3) From 2013 to 2020, coordinated stations dominated, but the gap between imbalanced and coordinated stations gradually narrowed. Most stations showed strong stability, while some shifted dynamically between high and low-level quadrants, indicating developmental fluctuations. Based on these findings, this paper proposes relevant policy recommendations to enhance the coordinated development of stations.</div></div>\",\"PeriodicalId\":47453,\"journal\":{\"name\":\"Research in Transportation Business and Management\",\"volume\":\"60 \",\"pages\":\"Article 101377\"},\"PeriodicalIF\":4.4000,\"publicationDate\":\"2025-04-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Research in Transportation Business and Management\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2210539525000926\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research in Transportation Business and Management","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2210539525000926","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS","Score":null,"Total":0}
Evolution of the economy and convenience of railway container freight stations in Northeast China: Coordination or imbalance?
Currently, there is an urgent need to strengthen the evaluation of freight demand and spatial layout of railway container stations in China. This study, focusing on Northeast China, uses proprietary data from 95306 Railway Freight E-commerce Platforms, including 1.25 million railway container freight records from 432 stations. Using complex network models, community structures, GE matrix models, and the “center-periphery” theory, this study analyzes the evolutionary characteristics and coordination of these stations in terms of economy and convenience. The findings show that: (1) Economically strong stations cluster in the “T”-shaped Harbin-Dalian and Binzhou-Binsui lines, while high-convenience stations are concentrated in the south and northeast, showing spatial disparities. (2) The “center” region is composed of multiple small “center” stations, each of which has its own “periphery” region. The core effect of each small “center” gradually diminishes as the location changes from railway trunk lines to branch lines. (3) From 2013 to 2020, coordinated stations dominated, but the gap between imbalanced and coordinated stations gradually narrowed. Most stations showed strong stability, while some shifted dynamically between high and low-level quadrants, indicating developmental fluctuations. Based on these findings, this paper proposes relevant policy recommendations to enhance the coordinated development of stations.
期刊介绍:
Research in Transportation Business & Management (RTBM) will publish research on international aspects of transport management such as business strategy, communication, sustainability, finance, human resource management, law, logistics, marketing, franchising, privatisation and commercialisation. Research in Transportation Business & Management welcomes proposals for themed volumes from scholars in management, in relation to all modes of transport. Issues should be cross-disciplinary for one mode or single-disciplinary for all modes. We are keen to receive proposals that combine and integrate theories and concepts that are taken from or can be traced to origins in different disciplines or lessons learned from different modes and approaches to the topic. By facilitating the development of interdisciplinary or intermodal concepts, theories and ideas, and by synthesizing these for the journal''s audience, we seek to contribute to both scholarly advancement of knowledge and the state of managerial practice. Potential volume themes include: -Sustainability and Transportation Management- Transport Management and the Reduction of Transport''s Carbon Footprint- Marketing Transport/Branding Transportation- Benchmarking, Performance Measurement and Best Practices in Transport Operations- Franchising, Concessions and Alternate Governance Mechanisms for Transport Organisations- Logistics and the Integration of Transportation into Freight Supply Chains- Risk Management (or Asset Management or Transportation Finance or ...): Lessons from Multiple Modes- Engaging the Stakeholder in Transportation Governance- Reliability in the Freight Sector