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Characterizing the evolution of the Yangtze River Delta multi-port system using compositional data techniques
- Source :
- UPCommons. Portal del coneixement obert de la UPC, Universitat Politècnica de Catalunya (UPC)
- Publication Year :
- 2021
-
Abstract
- This is an Accepted Manuscript of an article published by Taylor & Francis Group in Maritime Policy & Management on Published online: 12 Sep 2021, available online at: http://www.tandfonline.com/10.1080/03088839.2021.1972175. The Yangtze River Delta multi-port system (YMPS) receives increasing attention due to its relevance in world trade and excellent competitiveness in the container traffic market. To insight into the development pattern of YMPS, this paper proposes a method that combines the Hierarchical Clustering with compositional data (CoDa) exploratory tools (i.e., biplot and dendrogram) to explore the temporal and spatial evolution of the YMPS from 1992 to 2019. CoDa describes parts of some whole (i.e., frequency and percentage), conveying relative information in the ratios between its components. Container traffic share in a multi-port region is typical CoDa. Traditional statistical approaches to CoDa could lead to spurious correlations and erroneous conclusions. However, using suitable CoDa techniques, such as the centered log-ratio (clr) transformation, can effectively avoid these misinterpretations. The novel method can simultaneously find the temporal and spatial characteristics. The findings indicate that the development of the YMPS has gone through four stages and the evolution of the YMPS is characterized by a tendency towards a ‘multi-core development’ and faces a differentiated pattern of ‘peripheral port challenges’. The analysis further improves the port system’s evolutionary model and explains the underlying reason for the YMPS development. CoDa techniques also provide a new perspective for the temporal and spatial evolution of the transport discipline. This work was supported by the Ministerio de Ciencia, Innovación y Universidades under project Methods for Compositional analysis of Data (CODAMET) [grant number RTI2018-095518-B-C22, 2019-2021] and 111 Project [grant number D21013]
- Subjects :
- Delta
Concentration indexes
Geography, Planning and Development
Ocean Engineering
Transportation
World trade
Compositional data
Management, Monitoring, Policy and Law
Operations research
Investigació operativa
Anàlisi de supervivència (Biometria)
90 Operations research, mathematical programming::90B Operations research and management science [Classificació AMS]
Matemàtiques i estadística::Estadística matemàtica::Anàlisi multivariant [Àrees temàtiques de la UPC]
Survival analysis (Biometry)
Relevance (information retrieval)
Yangtze River Delta multi-port system
Hierarchical Clustering
62 Statistics::62N Survival analysis and censored data [Classificació AMS]
Multi port
business.industry
Environmental resource management
Hierarchical clustering
Container (abstract data type)
Yangtze river
Environmental science
business
Matemàtiques i estadística::Investigació operativa::Optimització [Àrees temàtiques de la UPC]
Subjects
Details
- Language :
- English
- ISSN :
- 03088839
- Database :
- OpenAIRE
- Journal :
- UPCommons. Portal del coneixement obert de la UPC, Universitat Politècnica de Catalunya (UPC)
- Accession number :
- edsair.doi.dedup.....3469eb493218243ce89e0723f64a46ac