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Inland Waterborne Commerce Study Based on Variance Decomposition and Cross-Spectral Analysis
KTH, School of Industrial Engineering and Management (ITM), Production Engineering. KTH, School of Industrial Engineering and Management (ITM), Materials Science and Engineering, Process.ORCID iD: 0000-0001-7585-4674
2021 (English)In: Lecture Notes on Data Engineering and Communications Technologies, Springer Nature , 2021, p. 13-22Chapter in book (Refereed)
Abstract [en]

Much research has focused on the prediction field; however, few are concerned about the detail between forecasting and influence factors. It is an important area to help decision-makers decide in time. River and relevant factors were studied utilizing variance decomposition and cross-spectral analysis. The results show that there is an inflection point between the shipping volume and the related variables. After passing a high-speed development period, the inland shipping volume will enter a stable period of fluctuation, and the correlation with other variables will gradually decrease. The amplitude spectrum verifies the degree of influence; the cross-spectral analyzed each variable is driving relationship; the phase spectrum shows the shipping volume and the time required for effecting.

Place, publisher, year, edition, pages
Springer Nature , 2021. p. 13-22
Keywords [en]
Cross-spectrum analysis, Shipping volume, The inflection point of shipping volume, Transportation economy, Variance decomposition, Decision making, Spectrum analysis, Amplitude spectra, Cross-spectral analysis, Decision makers, Inflection points, Inland shippings, Related variables, Ships
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:kth:diva-311192DOI: 10.1007/978-3-030-80475-6_2Scopus ID: 2-s2.0-85111917549OAI: oai:DiVA.org:kth-311192DiVA, id: diva2:1654488
Note

QC 20220427

Available from: 2022-04-27 Created: 2022-04-27 Last updated: 2022-06-25Bibliographically approved

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Wang, Yong

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