Examining the Mechanism Underlying the Evolution Pattern of Construction Land in Shrinking Cities on the Sino-Russian Border Based on Multi-Source Data:Evidence from Mudanjiang City
Using five-year cross-sections of remote sensing data and other multi-source data spanning 35 years,this study applied spatial statistical analysis methods,such as average nearest neighbor and kernel density,to trace the evolution trajectory of urban and rural construction land in Mudanjiang city,a key trade hub in the Sino-Russian border region.Using spatial statistical methods,we calculated the contraction trend and speed of Mudanjiang city.We then used Gradient Boosting Decision Tree(GBDT),a machine learning technique,to examine the influences of border trade,transportation infrastructure,and essential civil infrastructure on the development pattern of construction land.Based on these analyses,we substantiate that Mudanjiang city is a shrinking city primarily influenced by border trade and road transportation.Moreover,this study elucidates the evolution mechanism of the construction land pattern in Sino-Russian border cities,shedding light on the supply policy of construction land in the region.
multi-source dataurban and rural construction landspatial patternGradient Boosting Decision Treeborder crossing city
万方数据
