Abstract: Residential convenience index refers to the types and number of facilities available to residential residents within a certain range,which is a significant indicator for urban livability.Point of interest(POI)data is a set of geographic coordinate points containing physical entity attributes.It has the advantages of detailed data types,fine granularity,wide range and strong timeliness.Based on the POI data of Amap,the residential convenience index of buildings in Beijing’s urban areas is studied,and an anisotropic distance measurement method for subway travel is proposed.According to the constructed index system of living convenience index,houses are divided into excellent,good,moderate and poor levels.The results of the spatial distribution of various levels of residences in the urban area show that after taking subway trips into account,the convenience index measures of all levels of dwellings are more reasonable.