Next Article in Journal
Analysis of Land-Use Change between 2012–2018 in Europe in Terms of Sustainable Development
Next Article in Special Issue
Did Government Expenditure on the Grain for Green Project Help the Forest Carbon Sequestration Increase in Yunnan, China?
Previous Article in Journal
Towards Resilient Regions: Policy Recommendations for Stimulating Synergy between Tourism and Landscape
Open AccessArticle

Analysis of Super-Gentrification Dynamic Factors Using Interpretative Structure Modeling

School of Economics and Management, Tongji University, Shanghai 200092, China
Hospitality Management School, Shanghai Business School, Shanghai 201400, China
Author to whom correspondence should be addressed.
Received: 19 January 2020 / Revised: 29 January 2020 / Accepted: 1 February 2020 / Published: 8 February 2020
The driving force of super-gentrification shapes a complex system in which multiple dynamic factors interact with each other. This paper takes the dynamic factor system of super-gentrification as the research object and uses the Interpretative Structure Modeling (ISM) to analyze these dynamic factors. The levels of these dynamic factors and the interaction between them are determined. The Cross Impact Matrix Multiplication Applied to a Classification (MICMAC) analysis is also conducted to determine the dependence power and driving power of these dynamic factors. Through analysis, it is concluded that the dynamic factors of super-gentrification are distributed on six levels. Among these dynamic factors, Transformation of Industrial Structure and Occupational Structure in Urban Central Areas, Housing Needs of Overseas Elites, Investment Needs, Development of the Real Estate Market, and Unique Areas and Lifestyle Preferences are the fundamental dynamic factors affecting super-gentrification. The findings of this paper can enrich the existing theoretical research on the driving force of super-gentrification and can provide a reference for policy makers to promote urban landscape sustainability to some extent. View Full-Text
Keywords: super-gentrification; dynamic factors; ISM; MICMAC; landscape sustainability super-gentrification; dynamic factors; ISM; MICMAC; landscape sustainability
Show Figures

Figure 1

MDPI and ACS Style

Shi, J.; Duan, K.; Xu, Q.; Li, J. Analysis of Super-Gentrification Dynamic Factors Using Interpretative Structure Modeling. Land 2020, 9, 45.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Back to TopTop