{"title":"京津冀城市群数字化货运结构演化及影响因素——基于复杂网络分析视角","authors":"Hongchang Li, Lingtong Kong, Xiaojun Zhao","doi":"10.1016/j.tranpol.2025.07.036","DOIUrl":null,"url":null,"abstract":"<div><div>Digital freight platforms have emerged as key enablers of efficiency in modern road transportation, particularly in integrating logistics resources and optimizing freight flows. This study examines the structural evolution and driving forces of the digital freight network in the Beijing-Tianjin-Hebei (BTH) urban agglomeration, drawing on complex network theory. By applying centrality indicators and the standard deviation ellipse method, we identify a shift from a centralized to a multi-centered collaborative network between 2020 and 2023, accompanied by improvements in network efficiency and spatial resilience. The empirical analysis highlights transportation infrastructure and digital economy development as the main contributors to network optimization. Infrastructure investments enhance intercity connectivity, while digitalization fosters more synchronized flows of goods and information. Based on these findings, we propose policy recommendations to advance regional multimodal integration, improve logistics corridor planning, and strengthen digital platform governance, contributing to the high-quality development of regional freight systems.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"172 ","pages":"Article 103755"},"PeriodicalIF":6.3000,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The evolution and influencing factors of digital freight structure in the Beijing-Tianjin-Hebei urban agglomeration: A complex network analysis perspective\",\"authors\":\"Hongchang Li, Lingtong Kong, Xiaojun Zhao\",\"doi\":\"10.1016/j.tranpol.2025.07.036\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Digital freight platforms have emerged as key enablers of efficiency in modern road transportation, particularly in integrating logistics resources and optimizing freight flows. This study examines the structural evolution and driving forces of the digital freight network in the Beijing-Tianjin-Hebei (BTH) urban agglomeration, drawing on complex network theory. By applying centrality indicators and the standard deviation ellipse method, we identify a shift from a centralized to a multi-centered collaborative network between 2020 and 2023, accompanied by improvements in network efficiency and spatial resilience. The empirical analysis highlights transportation infrastructure and digital economy development as the main contributors to network optimization. Infrastructure investments enhance intercity connectivity, while digitalization fosters more synchronized flows of goods and information. Based on these findings, we propose policy recommendations to advance regional multimodal integration, improve logistics corridor planning, and strengthen digital platform governance, contributing to the high-quality development of regional freight systems.</div></div>\",\"PeriodicalId\":48378,\"journal\":{\"name\":\"Transport Policy\",\"volume\":\"172 \",\"pages\":\"Article 103755\"},\"PeriodicalIF\":6.3000,\"publicationDate\":\"2025-08-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transport Policy\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0967070X25002896\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transport Policy","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0967070X25002896","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
The evolution and influencing factors of digital freight structure in the Beijing-Tianjin-Hebei urban agglomeration: A complex network analysis perspective
Digital freight platforms have emerged as key enablers of efficiency in modern road transportation, particularly in integrating logistics resources and optimizing freight flows. This study examines the structural evolution and driving forces of the digital freight network in the Beijing-Tianjin-Hebei (BTH) urban agglomeration, drawing on complex network theory. By applying centrality indicators and the standard deviation ellipse method, we identify a shift from a centralized to a multi-centered collaborative network between 2020 and 2023, accompanied by improvements in network efficiency and spatial resilience. The empirical analysis highlights transportation infrastructure and digital economy development as the main contributors to network optimization. Infrastructure investments enhance intercity connectivity, while digitalization fosters more synchronized flows of goods and information. Based on these findings, we propose policy recommendations to advance regional multimodal integration, improve logistics corridor planning, and strengthen digital platform governance, contributing to the high-quality development of regional freight systems.
期刊介绍:
Transport Policy is an international journal aimed at bridging the gap between theory and practice in transport. Its subject areas reflect the concerns of policymakers in government, industry, voluntary organisations and the public at large, providing independent, original and rigorous analysis to understand how policy decisions have been taken, monitor their effects, and suggest how they may be improved. The journal treats the transport sector comprehensively, and in the context of other sectors including energy, housing, industry and planning. All modes are covered: land, sea and air; road and rail; public and private; motorised and non-motorised; passenger and freight.