Overcoming the Collaboration Barriers among Stakeholders in Urban Renewal Based on a Two-Mode Social Network Analysis

被引:6
作者
Li, Lingyan [1 ,2 ]
Zhu, Jiaxin [1 ,2 ]
Duan, Mimi [1 ,2 ]
Li, Pingbo [1 ,2 ]
Guo, Xiaotong [1 ,2 ]
机构
[1] Xian Univ Architecture & Technol, Sch Management, Xian 710055, Peoples R China
[2] Xian Univ Architecture & Technol, Sch Management, Key Res Base Joint Construct & Sharing Shaanxi Hu, Xian 710055, Peoples R China
基金
中国国家自然科学基金;
关键词
urban renewal; stakeholders; collaboration barriers; two-mode social network analysis; OFF-SITE CONSTRUCTION; DECISION-MAKING; MANAGEMENT; PROJECTS; REGENERATION; PERSPECTIVE; COMMUNITY; CITIES; CHINA;
D O I
10.3390/land11101865
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The relationship among stakeholders is complicated and full of collaboration barriers, which makes urban renewal an intersection of various contradictions. However, the existing literature considers the barriers to urban renewal independent of stakeholders, and the interaction between multiple stakeholders and barriers to collaboration has been ignored. Therefore, this study uses a literature review and expert interviews to identify stakeholders and their collaboration barriers in the process of urban renewal. Based on the results of expert questionnaires, a two-mode network model of stakeholder-collaboration barrier is constructed to clarify the complex interaction and reveal the power and status of stakeholders in a network relationship. The study found that each barrier was associated with at least three stakeholders, indicating the necessity of stakeholders to establish partnerships. Further analysis shows that the government, local and other administrative organizations, consulting parties, and developers are the most influential stakeholders. The vague boundary of property rights, lack of expert advice and expertise, and different stakeholder awareness were identified as key barriers affecting sustainable collaboration. Finally, this study proposes and validates five strategies to promote collaboration among stakeholders. This study helps practitioners identify the priority problems to be solved under limited resources and provides effective measures to promote stakeholder collaboration.
引用
收藏
页数:23
相关论文
共 27 条
[21]   The evolution analysis of listed companies co-holding non-listed financial companies based on two-mode heterogeneous networks [J].
An, Pengli ;
Li, Huajiao ;
Zhou, Jinsheng ;
Chen, Fan .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2017, 484 :558-568
[22]   Scientific collaboration: a social network analysis based on literature of animal-derived regenerative implantable medical devices [J].
Yu, Shu-Yang ;
Wang, Hong-Man .
REGENERATIVE BIOMATERIALS, 2016, 3 (03) :197-203
[23]   Social network analysis of stakeholder networks from two community-based obesity prevention interventions [J].
McGlashan, Jaimie ;
Nichols, Melanie ;
Korn, Ariella ;
Millar, Lynne ;
Marks, Jennifer ;
Sanigorski, Andrew ;
Pachucki, Mark ;
Swinburn, Boyd ;
Allender, Steven ;
Economos, Christina .
PLOS ONE, 2018, 13 (04)
[24]   Spatial structure of urban agglomeration under the impact of high-speed railway construction: Based on the social network analysis [J].
Zhang, Peifeng ;
Zhao, Yaoyang ;
Zhu, Xinhua ;
Cai, Ziwei ;
Xu, Jingxian ;
Shi, Shi .
SUSTAINABLE CITIES AND SOCIETY, 2020, 62
[25]   A strengths-based analysis of social influences that enhance HIV testing among female sex workers in urban Indonesia [J].
Whitford, Kate ;
Mitchell, Elke ;
Lazuardi, Elan ;
Rowe, Emily ;
Anintya, Irma Tasya ;
Wirawan, Dewa N. ;
Wisaksana, Rudi ;
Subronto, Yanri W. ;
Prameswari, Hellen D. ;
Kaldor, John M. ;
Bell, Stephen .
SEXUAL HEALTH, 2021, 18 (01) :122-83
[26]   Exploring the dynamic diffusion of low-carbon technology research and development among enterprises: Based on an evolutionary game model with a two-level heterogeneous social network [J].
Lou, Wen-qian ;
Wu, Bin ;
Chen, Feng ;
Zhu, Bo-wen .
MANAGERIAL AND DECISION ECONOMICS, 2024, 45 (07) :5182-5195
[27]   Evaluation of the Sustainable Development of the Social-Economic-Natural Compound Ecosystem in the Guangdong-Hong Kong-Macao Greater Bay Area Urban Agglomeration (China): Based on Complex Network Analysis [J].
Feng, Zhijun ;
Chen, Zinan ;
Cai, Hechang ;
Yang, Zaoli .
FRONTIERS IN ENVIRONMENTAL SCIENCE, 2022, 10