Dan He, Huizi Deng, Yunlong Niu, Jun Li, Rosilawati Zainol, Nor Shahida Azali
This study examines sustainable urban brownfield redevelopment through the Quintuple Helix Model, encompassing universities, government, industry, civil society, and the environment. A structured survey of 436 respondents across five districts in Chengdu, China, was analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). Results indicate that universities (β = 0.320), government (β = 0.291), and industry (β = 0.308) exert the strongest direct influences on redevelopment outcomes, while civil society (β = 0.089) and environmental factors (β = 0.108) provide smaller but significant contributions. The model also shows high predictive relevance, confirming its robustness in explaining sustainable redevelopment. These findings highlight the central roles of universities, government, and industry as primary drivers of sustainable redevelopment, while civil society and environmental factors act as supportive contributors. The study contributes empirical evidence from China to enrich the Quintuple Helix literature and offers actionable recommendations for planners and policymakers, including strengthening governance platforms, fostering university–industry collaboration, and aligning industrial incentives with ecological goals. © 2025 The Author(s).
Department of Urban and Regional Planning, Centre for Sustainable Urban Planning and Real Estate (SUPRE), Faculty of Built Environment, Universiti Malaya, Kuala Lumpur, 50603, Malaysia; Department of Architecture, Faculty of Built Environment, Universiti Malaya, Kuala Lumpur, 50603, Malaysia; Department of Geography and Environment, Faculty of Human Sciences, Sultan Idris Education University, Perak, Tanjong Malim, 35900, Malaysia; Chengdu College of Arts and Sciences, Chengdu, China; Centre for Transport Research, Universiti Malaya, Kuala Lumpur, Malaysia; Centre for Civilizational Dialogue, Universiti Malaya, Kuala Lumpur, Malaysia; Universitas Brawijaya, Malang, 65145, Indonesia
