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Analysis of Super-Gentrification Dynamic Factors Using Interpretative Structure Modeling

Author

Listed:
  • Jiangang Shi

    (School of Economics and Management, Tongji University, Shanghai 200092, China)

  • Kaifeng Duan

    (School of Economics and Management, Tongji University, Shanghai 200092, China)

  • Quanwei Xu

    (School of Economics and Management, Tongji University, Shanghai 200092, China)

  • Jiajia Li

    (Hospitality Management School, Shanghai Business School, Shanghai 201400, China)

Abstract

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.

Suggested Citation

  • Jiangang Shi & Kaifeng Duan & Quanwei Xu & Jiajia Li, 2020. "Analysis of Super-Gentrification Dynamic Factors Using Interpretative Structure Modeling," Land, MDPI, vol. 9(2), pages 1-16, February.
    • Handle: RePEc:gam:jlands:v:9:y:2020:i:2:p:45-:d:318092
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    References listed on IDEAS

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    1. Angelo Podagrosi & Igor Vojnovic & Bruce Pigozzi, 2011. "The Diversity of Gentrification in Houston's Urban Renaissance: From Cleansing the Urban Poor to Supergentrification," Environment and Planning A, , vol. 43(8), pages 1910-1929, August.
    2. Marijn Janssen & Nripendra P. Rana & Emma L. Slade & Yogesh K. Dwivedi, 2018. "Trustworthiness of digital government services: deriving a comprehensive theory through interpretive structural modelling," Public Management Review, Taylor & Francis Journals, vol. 20(5), pages 647-671, May.
    3. Qiyan Wu & Tim Edensor & Jianquan Cheng, 2018. "Beyond Space: Spatial (Re)Production and Middle†Class Remaking Driven by Jiaoyufication in Nanjing City, China," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 42(1), pages 1-19, January.
    4. Rajesh, R., 2017. "Technological capabilities and supply chain resilience of firms: A relational analysis using Total Interpretive Structural Modeling (TISM)," Technological Forecasting and Social Change, Elsevier, vol. 118(C), pages 161-169.
    5. Guofeng Ma & Jianyao Jia & Jiyong Ding & Shanshan Shang & Shan Jiang, 2019. "Interpretive Structural Model Based Factor Analysis of BIM Adoption in Chinese Construction Organizations," Sustainability, MDPI, vol. 11(7), pages 1-16, April.
    6. Loretta Lees, 2003. "Super-gentrification: The Case of Brooklyn Heights, New York City," Urban Studies, Urban Studies Journal Limited, vol. 40(12), pages 2487-2509, November.
    7. Qiyan Wu & Xiaoling Zhang & Paul Waley, 2016. "Jiaoyufication: When gentrification goes to school in the Chinese inner city," Urban Studies, Urban Studies Journal Limited, vol. 53(16), pages 3510-3526, December.
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    Cited by:

    1. Fabrizio Battisti & Orazio Campo & Benedetto Manganelli, 2022. "Land Management in Territorial Planning: Analysis, Appraisal, Strategies for Sustainability—A Review of Studies and Research," Land, MDPI, vol. 11(7), pages 1-5, July.

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