Javascript must be enabled to continue!
Complexity Review of NIMBY conflict: Characteristics, Mechanism and Evolution Simulation
View through CrossRef
Abstract
Complexity is an essential characteristic of NIMBY systems, and few studies have analyzed NIMBY conflicts using the theory of complex adaptive systems. From the perspective of complexity, this study re-examines the characteristics and evolution mechanism of NIMBY conflicts and draws the following conclusions: (1) NIMBY conflicts are a complex system of interaction between multiple subjects and the environment, characterized by aggregation, Linearity, dynamics, flow characteristics, and hierarchy. (2) Build a stimulus-response model for the evolution mechanism of NIMBY conflicts based on the theory of complex adaptive systems and consider that adaptability is the driving force for the evolution of NIMBY conflicts. The effector promotes NIMBY subjects to gradually adapt to changes in the external environment and maximize their interests. (3) Using Agent simulation technology to simulate the evolution mechanism of NIMBY conflicts, we found that how the government responds to conflicts is more important than the intervention time; Residents' communication efficiency and connection probability will affect residents' behavior choices; The lower the residents' communication efficiency, the less likely it is to form NIMBY conflicts, and stronger resident relations can accelerate residents' convergence to the exit state, affecting the evolution of NIMBY conflicts. This study deepens the understanding of NIMBY conflicts and provides a new reference perspective for the governance of NIMBY conflicts.
Title: Complexity Review of NIMBY conflict: Characteristics, Mechanism and Evolution Simulation
Description:
Abstract
Complexity is an essential characteristic of NIMBY systems, and few studies have analyzed NIMBY conflicts using the theory of complex adaptive systems.
From the perspective of complexity, this study re-examines the characteristics and evolution mechanism of NIMBY conflicts and draws the following conclusions: (1) NIMBY conflicts are a complex system of interaction between multiple subjects and the environment, characterized by aggregation, Linearity, dynamics, flow characteristics, and hierarchy.
(2) Build a stimulus-response model for the evolution mechanism of NIMBY conflicts based on the theory of complex adaptive systems and consider that adaptability is the driving force for the evolution of NIMBY conflicts.
The effector promotes NIMBY subjects to gradually adapt to changes in the external environment and maximize their interests.
(3) Using Agent simulation technology to simulate the evolution mechanism of NIMBY conflicts, we found that how the government responds to conflicts is more important than the intervention time; Residents' communication efficiency and connection probability will affect residents' behavior choices; The lower the residents' communication efficiency, the less likely it is to form NIMBY conflicts, and stronger resident relations can accelerate residents' convergence to the exit state, affecting the evolution of NIMBY conflicts.
This study deepens the understanding of NIMBY conflicts and provides a new reference perspective for the governance of NIMBY conflicts.
Related Results
Evaluating the Science to Inform the Physical Activity Guidelines for Americans Midcourse Report
Evaluating the Science to Inform the Physical Activity Guidelines for Americans Midcourse Report
Abstract
The Physical Activity Guidelines for Americans (Guidelines) advises older adults to be as active as possible. Yet, despite the well documented benefits of physical a...
Conflict Management
Conflict Management
Any attempt to define conflict management is not an easy feat. It is a dynamic concept with blurry boundaries. In its most simple form, as Dennis Sandole says, conflict management ...
Unbundling task conflict and relationship conflict
Unbundling task conflict and relationship conflict
PurposeThis study seeks to explore team goal orientation as a team characteristic that affects team members' self‐regulation, and conflict management approach as a self‐regulation ...
Complexity Theory
Complexity Theory
The workshop
Complexity Theory
was organised by Joachim von zur Gathen (Bonn), Oded Goldreich (Rehovot), Claus-Peter Schnorr (Frankfurt), and Madhu Sudan ...
Linguistic Complexity
Linguistic Complexity
Linguistic complexity (or: language complexity, complexity in language) is a multifaceted and multidimensional research area that has been booming since the early 2000s. The curren...
Evolution mechanism of conflict between pedestrian and vehicle based on evolutionary game theory
Evolution mechanism of conflict between pedestrian and vehicle based on evolutionary game theory
When pedestrian and vehicle are in conflict, they will pass at a certain probability after they have made a simple judgment respectively. According to the actual situation of the c...
Identification and Analysis of Territorial Spatial Utilization Conflicts in Yibin Based on Multidimensional Perspective
Identification and Analysis of Territorial Spatial Utilization Conflicts in Yibin Based on Multidimensional Perspective
The measurement of territorial spatial conflict degrees and the identification of conflict areas are important issues in the field of regional development planning. The scientific ...
Impact of Armed Conflict on Traumatic Brain Injury: A Retrospective Comparative Study from Tigray, Northern Ethiopia
Impact of Armed Conflict on Traumatic Brain Injury: A Retrospective Comparative Study from Tigray, Northern Ethiopia
Abstract
Background
Traumatic brain injury (TBI) is a leading cause of death and disability, with the burden amplified in conflict zones where access to imaging and surgery...


