The　main　travel　mode　of　the　elderly　group　is　walking,　but　with　the　physical　inconvenience　caused　by　the　growth　of　the　elderly　group,　the　reaction　speed　of　the　elderly　decreases,　and　they　are　more　vulnerable　to　serious　trauma　and　even　death　in　traffic　accidents.　In　recent　years,　the　modeling　of　elderly　pedestrian　traffic　accidents　from　macro　aspects　is　one　of　the　research　directions　of　road　traffic　safety.　The　influencing　factors　of　accidents　are　related　to　the　complex　built　environment.　Considering　the　spatial　heterogeneity　at　the　macro　scale,　thesis　quantitatively　analyzes　the　impact　of　urban　environmental　factors　on　the　number　of　elderly　pedestrian　traffic　accidents　in　the　administrative　Street　area　In　this　paper,　the　influence　of　urban　environmental　factors　on　the　number　of　traffic　accidents　of　elderly　pedestrians　in　administrative　street　areas　is　quantitatively　analyzed　at　the　macro　scale　considering　spatial　heterogeneity,　and　the　influencing　factor　model　of　the　number　of　traffic　accidents　of　elderly　pedestrians　considering　the　macro-built　environment　is　constructed.　Examining　the　spatial　autocorrelation　of　elderly　pedestrian　crashes　based　on　the　Moran　index　for　administrative　street　divisions.　The　co-point　and　co-edge　regression　matrix　was　constructed　as　the　spatial　weight　matrix,　and　the　co-linear　variables　were　determined　by　variance　inflation　factor　test　and　stepwise　regression.　The　goodness　of　fit　was　compared　based　on　ordinary　least　squares　model　and　geographically　weighted　regression　model,　and　the　influencing　factors　of　spatial　heterogeneity　were　analyzed.　The　results　show　that　the　accidents　are　greatly　affected　by　the　regional　average　speed,　the　average　distance　between　intersections,　the　density　of　elderly　population,　the　density　of　road　network　and　the　density　of　service　facilities,　and　show　different　performances　with　the　distribution　of　geographical　space.