Ally, deterrence, or leverage in the tripartite game? The effects of indirect stakeholders in historic urban regeneration

杠杆(统计) 威慑(心理学) 再生(生物学) 吓阻理论 城市更新 业务 法律与经济学 经济 环境规划 政治学 地理 法学 计算机科学 细胞生物学 生物 机器学习
作者
Jimin Zhong,Ли Бин,Guoqiang Shen,Long Zhou
出处
期刊:Cities [Elsevier BV]
卷期号:149: 104931-104931 被引量:5
标识
DOI:10.1016/j.cities.2024.104931
摘要

The conflict between public and private interests has become a focal point of contention among various parties in the process of expropriation and relocation for historic urban regeneration. Failures to properly resolve such conflict often lead to impeded urban regeneration and/or loss of cultural values. Although previous studies have analyzed the mediating role of various types of indirect stakeholders in historic urban regeneration, they have not further examined various effects of indirect stakeholders. Inspired by the theories of dependence, deterrence, and agency among stakeholders, this study explains the different effects of indirect stakeholders on the three parties (government, developers, and residents) following the evolutionary game theory. Specifically, replicator dynamics equations are established to simulate the evolution paths of the government, developers, and residents in the tripartite game involving indirect stakeholders through a case study for the historic regeneration of Zhongshan Road in Nanning, China. Modeling parameters are obtained through semi-structured interviews and quantified analyses of policy documents. The results reveal that indirect stakeholders (1) show a positive ally effect benefiting the stability of government strategies, (2) have a negative deterrent effect conducive to the stable evolution of developers, and (3) have an indirect leverage effect on the evolution of residents. Our study makes contributions by (1) designing a new indirect stakeholder mechanism to urban regeneration, and (2) establishing a new analysis framework for the tripartite game in urban regeneration. Although the case study is conducted in the context of China, the analytical framework is applicable to other countries.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
xianyu完成签到,获得积分10
1秒前
1秒前
1ce发布了新的文献求助10
2秒前
xianyu发布了新的文献求助10
3秒前
共享精神应助Chen采纳,获得10
5秒前
6秒前
dylan发布了新的文献求助10
6秒前
8秒前
讨厌所有人完成签到,获得积分10
9秒前
涤烦子应助雇凶暗杀蛋饺采纳,获得10
13秒前
fighting发布了新的文献求助10
13秒前
16秒前
不安的凉面完成签到 ,获得积分10
17秒前
JIAN完成签到 ,获得积分10
20秒前
20秒前
郑光英发布了新的文献求助30
20秒前
科研通AI6.4应助LBJBowen23采纳,获得10
21秒前
CipherSage应助fighting采纳,获得10
22秒前
welt_song完成签到,获得积分10
23秒前
23秒前
23秒前
谢天完成签到,获得积分10
26秒前
科研通AI6.2应助FG采纳,获得10
28秒前
所所应助谢天采纳,获得10
30秒前
30秒前
31秒前
32秒前
35秒前
35秒前
36秒前
成事在人307完成签到,获得积分10
37秒前
LBJBowen23发布了新的文献求助10
37秒前
lokiyyy发布了新的文献求助10
39秒前
好学的泷泷完成签到 ,获得积分10
40秒前
GB发布了新的文献求助10
41秒前
42秒前
43秒前
嘟嘟完成签到,获得积分10
44秒前
LBJBowen23完成签到,获得积分10
46秒前
SciGPT应助lokiyyy采纳,获得10
47秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6356344
求助须知:如何正确求助?哪些是违规求助? 8171234
关于积分的说明 17203500
捐赠科研通 5412276
什么是DOI,文献DOI怎么找? 2864564
邀请新用户注册赠送积分活动 1842098
关于科研通互助平台的介绍 1690360