INFLUENCE MECHANISM OF MULTI-ATRIUM SHAPE ON CARBON EMISSION OF SHOPPING MALLS IN COLDREGION
A shopping mall with centralized atrium in Harbin is taken to study the influence mechanism of multiple atrium forms on carbon emissions of large shopping malls in cold areas,in which BP neural network prediction com-bined with sensitivity analysis and correlation analysis are adopted.The influence mechanism of five factors on car-bon emission is explored,including number of atriums(n),area ratio of primary and secondary atriums(r),distance between primary and secondary atriums(d0),skylight area ratio(S0),and area ratio of atrium(S1).The results show that the influence of S0,S1,r,d0 and n on carbon emission decreases successively,in which S0,S1,r and d0 are the key influencing factors,and all of them are positively correlated with total carbon emission.It is conducive to building carbon reduction by reducing the proportion of atrium area and skylight area and by increasing the concentration and uniformity of atrium area.