Research on coordinated development between metropolitan economy and logistics using big data and Haken model
Chen Yang,
Shulin Lan and
Lihui Wang
International Journal of Production Research, 2019, vol. 57, issue 4, 1176-1189
Abstract:
To quantitatively study the relationship and mutual effects between metropolitan economy and logistics is an important, yet pending issue, which can scientifically guide the urban planning and investment. Through the identified evaluation indexes of metropolitan logistics and economic development, this paper first builds up an evaluation process model of metropolitan economic and logistics development, based on big data analytics (BDA), the entropy evaluation method, and the maximum deviation method. BDA can help extract the exact data about the indicators of metropolitan economy and logistics. Then a Haken model is adopted to ravel out the dynamic co-evolutionary law of economy and logistics in five Chinese cities, which complements the above static evaluation. The results show that the economic development is an order parameter and plays a key role in the coordinated development of metropolitan logistics and economy. However, from 2013 to 2014, these five cities had not established an orderly evolved positive-feedback mechanism through which economic development promotes the coordinated development of metropolitan logistics and economic development.
Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (9)
Downloads: (external link)
http://hdl.handle.net/10.1080/00207543.2018.1503427 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tprsxx:v:57:y:2019:i:4:p:1176-1189
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TPRS20
DOI: 10.1080/00207543.2018.1503427
Access Statistics for this article
International Journal of Production Research is currently edited by Professor A. Dolgui
More articles in International Journal of Production Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().