1187 / 2024-09-20 16:09:19
A Spatial Game Approach for Scenario Simulation of Coastal Zone Evolution
spatial game,sustainable development,Overall planning on land and sea,situational simulation
Session 55 - Coastal Zone Evolution and Tipping Process
Abstract Accepted
wen luo / Nanjing Normal University
Pei Du / Nanjing Normal University
Zhaoyuan Yu / Nanjing Normal University
Linwang Yuan / Nanjing Normal University
The coastal zone, as a convergent area of human-sea-land relationships, brings together various stakeholders from agriculture, forestry, fisheries, and marine sectors. This convergence leads to spatial resource utilization bottlenecks and dual constraints on high-quality harmonious development between humans and nature. Scenario simulation of the coastal zone evolution process, aimed at sustainable development and integrated coastal-land management, requires balancing the spatial utilization demands of different stakeholders under limited spatial resources, while quantifying the game relationships among these stakeholders. Existing methods based on payoff matrices for quantifying spatial interest relationships struggle to represent the game relationships of various stakeholders across different dimensions such as living, ecological, and production aspects, and lack a multi-level description of the stakeholders. This study proposes a multidimensional and multilevel model based on complex networks to express the game relationships among coastal zone stakeholders. Through the expression and measurement of multi-layered and multi-granularity stakeholder game relationships, as well as a spatial cooperative game model, this approach achieves simulations of the coastal zone evolution process under different scenarios. The case study demonstrates that the multidimensional and multilevel complex network model developed in this research can effectively represent the game relationships among various stakeholders in the coastal zone, providing methodological support for the representation of coastal zone complex systems and digital twin ocean modeling.