Modeling Intercity CO₂ Trading Scenarios in China: Complexity of Urban Networks Integrating Different Spatial Scales

Figure 3

CO₂ trading network of 182 cities under different scenarios. Notes: Figures a1, b1, c1, and d1 represent the visualization of the intercity CO₂ trading networks under the four scenarios, and they are produced online on the Gaode Map open platform (https://lbs.amap.com/). Figures a2, b2, c2, and d2 show the distribution of distances between all paired cities under the four scenarios. The distributions of the trading gravity index (top 100) between all paired cities under the four scenarios are shown in Figures a3, b3, c3, and d3, respectively.