城市交通碳排放优化模型构建及其对大气污染的治理作用研究

Optimization Model for Carbon Emissions from Urban Transportation and Its Effect on Air Pollution Control

构建了城市交通碳排放优化模型,测试优化效果以及对大气污染的治理作用。以X市为例,选取相关交通参数,求解最优城市交通出行结构的碳排放优化模型,为模型制定一系列约束条件,以实现最优的碳排放优化效果。通过linprog函数的调用求解了模型,获取数据后计算优化效果。优化后公共交通方式占据主导地位,交通结构得到改善。月平均拥堵时长大幅下降,各区域均得到降低。二氧化碳等污染物日平均浓度也得到降低,其中二氧化碳降低了200 mg/m^(3)以上。该模型具有显著的碳排放优化效果以及对大气污染的治理作用。

A carbon emission optimization model for urban transportation has been constructed,and its optimization effect and governance effect on air pollution have been tested.Taking X city as an example,this study selected relevant transportation parameters and solved the carbon emission optimization model for the optimal urban transportation structure.A series of constraint conditions were developed for the model to achieve the optimal carbon emission optimization effect.The model was solved by calling the linprog function,and the optimization effect was calculated after obtaining data.After optimization,public transportation has taken a dominant position and the transportation structure has been improved.The monthly average congestion time has significantly decreased,and all regions have experienced a decrease.The daily average concentration of pollutants such as carbon dioxide has also been reduced,with carbon dioxide decreasing by more than 200 mg/m^(3).This model has significant carbon emission optimization effects and governance effects on air pollution.