Optimization of low-carbon land use in Chengdu based on multi-objective linear programming and the future land use simulation model

Optimizing the structure of land use is essential to low-carbon sustainable development a region. This article takes Chengdu, typical western China city, as case study. First, carbon emission coefficients are used calculate emissions. Then, based on multi-objective linear programming (MOP), economic priority scenario (S1), (S2), and strengthening (S3) proposed. Finally, future simulation (FLUS) model predict spatial layout under three scenarios. The result shows that from 1990 2020, emissions increased by 7,617.61 thousand tons, with an annual growth rate 3.75%. main difference among scenarios occupied degree farmland caused expansion construction land, potential reduction 969.72 (5.2%), 2414.31 (13.1%), 3878.89 tons (21.0%) in S1, S2, S3, respectively. FLUS conversion mainly occurs around urban built-up area Chengdu. research can provide planning suggestions for Chengdu reference other regions.