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Archive | 2018

Conflict Analysis of Concentrated Rural Settlement Development During Post-disaster Reconstruction in China: A Multi-agent Simulation

Yi Peng; Qiuxiang Li; Haijun Bao

Housing reconstruction is critically important to realize sustainable post-disaster reconstruction. Concentrated rural settlement (CRS) development was promoted after the 5.12 Sichuan earthquake in China. Existing studies focus on the process of CRS reconstruction while overlooking potential conflicts during the reconstruction. This study aims to investigate the behavior of farmers and local government during CRS reconstruction. Evolutional game analysis is used to find the evolutionarily stable strategy for farmers and local government. Multi-agent simulation is used to validate the evolutional trend of farmers’ and local government’s behavior during CRS reconstruction. The impacts of critical factors on the evolutionary stable strategy have also been investigated. Without proper management, there would be conflicts between farmers and local government in CRS development during post-disaster reconstruction. The findings can facilitate the local government to better promote CRS development during post-disaster reconstruction.


7th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC-2016) | 2016

Evolutionary Game Analysis and Simulations for Intra-Village Conflict of Collective Land Expropriation

Haowen Wang; Qiuxiang Li; Haijun Bao; Yi Peng

With rapid urbanization, the social risk caused by collective land expropriation has been increasing. Land conflict rather than the farmers’ burden has been the first important issue affecting social security in rural areas. The existing studies on land conflict pay few attentions to intra-village conflict of collective land expropriation. The behavior logic and evolution rule of farmers and village committee remains unknown during the conflict of collective land expropriation. Therefore, the governmental measures lack solid basis to solve such conflicts. This study conducts evolutionary game analysis to find the evolutionary stable strategy of farmers and village committee during conflicts based on the assumption of bounded rationality. Through NetLogo platform, multi-agent based simulation is conducted to validate the results of evolutionary game analysis. This study provides theoretical references for solving intra-village conflicts during collective land expropriation.  *通讯作者:彭毅,杭州市浙江财经大学公共管理 学院,Email:[email protected]


Habitat International | 2016

Effect of land expropriation on land-lost farmers’ entrepreneurial action: A case study of Zhejiang Province

Haijun Bao; Yi Peng


Habitat International | 2015

A study of the effect of a high-speed rail station on spatial variations in housing price based on the hedonic model

Bin Geng; Haijun Bao; Ying Liang


International Journal of Project Management | 2015

An alternative incomplete information bargaining model for identifying the reasonable concession period of a BOT project

Haijun Bao; Yi Peng; José Humberto Ablanedo-Rosas; Hongman Gao


Habitat International | 2017

Regular pattern of judicial decision on land acquisition and resettlement: An investigation on Zhejiang’s 901 administrative litigation cases

Wenzhang Zhou; Yi Peng; Haijun Bao


Habitat International | 2015

The land hoarding and land inspector dilemma in China: An evolutionary game theoretic perspective

Xiaoling Zhang; Haijun Bao; Martin Skitmore


Sustainability | 2017

The Collective Strategies of Major Stakeholders in Land Expropriation: A Tripartite Game Analysis of Central Government, Local Governments, and Land-Lost Farmers

Qiuxiang Li; Haijun Bao; Yi Peng; Haowen Wang; Xiaoling Zhang


International Journal of Project Management | 2016

A model for determining the optimal project life span and concession period of BOT projects

Xiaoling Zhang; Haijun Bao; Hongdi Wang; Martin Skitmore


Resources Conservation and Recycling | 2018

Sustainable land financing in a new urbanization context: theoretical connotations, empirical tests and policy recommendations

Bin Geng; Xiaoling Zhang; Ying Liang; Haijun Bao; Martin Skitmore

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Xiaoling Zhang

City University of Hong Kong

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Martin Skitmore

Queensland University of Technology

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Yi Peng

Zhejiang University of Finance and Economics

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Bin Geng

Zhejiang University of Finance and Economics

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Qiuxiang Li

Zhejiang University of Finance and Economics

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Ying Liang

Zhejiang University of Finance and Economics

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Haowen Wang

Zhejiang University of Finance and Economics

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Fei Xu

Zhejiang University of Finance and Economics

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Huan Li

Zhejiang Gongshang University

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Shibao Lu

Zhejiang University of Finance and Economics

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