Research on Carbon Balance Pressure of Tourist Destinations Based on Multi-Agent Modeling
Tourism is a major"carbon emitter"in the modern service industry.Under China's"dual-carbon"deployment,accelerating the carbon balance of tourism will help the tourism industry achieve green transformation and high-quality development.With reference to the real destination system,three major types of intelligences(tourists,residents and environment)are extracted,and based on the relevant research,we formulate the decision-making rules of the intelligences'behaviours,establish a simulation system for the pressure of carbon balance in tourism destinations,and explore the influence of the parameters of destination environment,society and tourists'behaviours on the carbon balance of tourism destinations.It was found that:(1)the vegetation coverage of a destination is negatively correlated with the carbon balance pressure of tourism in the destination,while the increase of carbon sequestration capacity of vegetation per unit area can enhance the carbon carrying capacity of the destination,but is less helpful in reducing the carbon balance pressure;(2)the price level of a destination and the improvement of environmental awareness of residents can both limit the growth of the carbon footprint of tourism and thus reduce the pressure on the carbon balance,but the two roles are not the same;(3)the carbon footprint of transport is a major factor that increases the carbon balance pressure of the destination.And the further away the main source market is,the greater the pressure on the carbon balance of the destination,and the more significant the effect of improving the vegetation coverage and environmental awareness of the residents on reducing the pressure on the carbon balance.In the future,the realisation of the carbon balance of tourism depends on the wide application of carbon reduction and energy-saving technologies such as clean energy in transport and leisure service facilities,as well as the enhancement of the environmental awareness of destination residents and tourists.
multi-agentmodeling and simulationtourism carbon balancecarbon balance pressure
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