Influence of Grouping and Driving Mechanisms on Urban Renewal Performance Using a Six-Dimensional Benefit Framework
Publication: Journal of Urban Planning and Development
Volume 150, Issue 4
Abstract
Urban renewal is the result of collaborative governance among multiple stakeholders, and identifying the matching relationship between different urban renewal models and their performance is conducive to a more precise allocation of resources for urban renewal in various cities. In this study, we constructed a six-dimensional framework of benefits, covering local government, the regional economy, cultural preservation, social governance, ecological protection, and the role of cities. The work encompassed 18 evaluation indicators driving urban renewal based on urban renewal data from 20 cities in China. We employed the entropy weight and fuzzy set qualitative comparative analysis (fsQCA) methods to develop three urban renewal performance driving models—the comprehensive development model, political–ecological synergistic driving model, and economic–cultural weakness model. Furthermore, we categorized the characteristics of urban renewal in the 20 cities, providing theoretical support for the tailored formulation of differentiated urban renewal strategies based on each city’s development status.
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Data Availability Statement
All data, models, and code generated or used during the study appear in the published article.
Acknowledgments
This work was supported by the Beijing Philosophy and Social Science Fund (Grant No. 17GLC057), the Basic Scientific Research Fund of Beijing Municipal Colleges (Grant Nos. X18174, ZF17046), and the Pyramid Talent Training Project of Beijing University of Civil Engineering and Architecture (Grant No. JDYC20200320).
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Information
Published In
Journal of Urban Planning and Development
Volume 150 • Issue 4 • December 2024
Copyright
© 2024 American Society of Civil Engineers.
History
Received: Oct 6, 2023
Accepted: May 15, 2024
Published online: Jul 18, 2024
Published in print: Dec 1, 2024
Discussion open until: Dec 18, 2024
ASCE Technical Topics:
- Artificial intelligence (AI)
- Artificial intelligence and machine learning
- Business management
- Comparative studies
- Computer programming
- Computing in civil engineering
- Construction engineering
- Construction management
- Engineering fundamentals
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- Fuzzy logic
- Infrastructure
- Management methods
- Methodology (by type)
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- Project management
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- Resource allocation
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