Research on the collaborative governance of urban regeneration based on a Bayesian network: The case of Chongqing
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DOI: 10.1016/j.landusepol.2021.105640
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Cited by:
- Yunxi Bai & Shanshan Wu & Yunjie Zhang, 2023. "Exploring the Key Factors Influencing Sustainable Urban Renewal from the Perspective of Multiple Stakeholders," Sustainability, MDPI, vol. 15(13), pages 1-21, July.
- Jinpeng Wu & Jing Xiong, 2022. "How Governance Tools Facilitate Citizen Co-Production Behavior in Urban Community Micro-Regeneration: Evidence from Shanghai," Land, MDPI, vol. 11(8), pages 1-18, August.
- Xuefeng Zheng & Xiufan Zhang & Decheng Fan, 2023. "Research on the Coordinated Development of Innovation Ability and Regional Integration in Guangdong–Hong Kong–Macao Greater Bay Area," Sustainability, MDPI, vol. 15(4), pages 1-17, February.
- Jing Huang & Xiao Hu & Jieqiong Wang & Andong Lu, 2023. "How Diversity and Accessibility Affect Street Vitality in Historic Districts?," Land, MDPI, vol. 12(1), pages 1-23, January.
- Guiwen Liu & Cheng Li & Taozhi Zhuang & Yuhan Zheng & Hongjuan Wu & Jian Tang, 2022. "Determining the Spatial Distribution Characteristics of Urban Regeneration Projects in China on the City Scale: The Case of Shenzhen," Land, MDPI, vol. 11(8), pages 1-27, July.
- Zhang, Mingming & Zhou, Simei & Wang, Qunwei & Liu, Liyun & Zhou, Dequn, 2023. "Will the carbon neutrality target impact China's energy security? A dynamic Bayesian network model," Energy Economics, Elsevier, vol. 125(C).
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Keywords
Collaborative Governance; Urban Regeneration; Mechanism Analysis; Bayesian Network;All these keywords.
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