中南民族大学学报（自然科学版）2025，Vol.44Issue(4)：475-483,9.DOI:10.20056/j.cnki.ZNMDZK.20240740
融合交通驱动因子的RF-CA-Markov土地利用演化模型
RF-CA-Markov land use evolution model with integrated transporation driving factors
摘要
Abstract
In order to investigate the influence of urban transportation system on land use patterns,four traffic factors including road network density,accessibility,road distance and public transportation station distance were selected and incorporated into the RF-CA-Markov model to simulate the evolution of land use patterns in Caidian District of Wuhan City from 2010 to 2020.The effects of transportation factors on model accuracy were analyzed using land use transition matrices and landscape indices.The results indicated that compared with the RF-CA-Markov model without considering transportation factors,the simulation results of Kappa coefficient and OA value were significantly improved.The simulation accuracy can be significantly improved by considering traffic factors in land evolution simulation.Compared with the natural development scenario,the transfer area of construction land in the traffic factor intervention scenario was mainly concentrated in the area near the transportation facilities with high convenience,the complexity of the landscape is higher,and the dispersion of patches is more uniform under the intervention of traffic factors.关键词
交通系统/土地利用/元胞自动机/RF-CA-Markov模型/可达性Key words
traffic system/land use/cellular automata/RF-CA-Markov model/accessibility分类
土木建筑引用本文复制引用
汤文,李慧君,郑小毅,陈玲娟,王竹,徐琳..融合交通驱动因子的RF-CA-Markov土地利用演化模型[J].中南民族大学学报（自然科学版）,2025,44(4):475-483,9.基金项目
国家社会科学基金资助项目(20CGL018) （20CGL018）
