房地产设计最佳容积率测算实例及表格(直接套用)

最佳容积率测算模板

（此计算模板仅能计算4变量。受参数影响，结果不一定准确，但指明了方向，优化方案还需经过建筑总平面

00982 1.814

001000 1.8

02926 1.83

02944 1.816

02962 1.802

02980 1.788

04906 1.818

04924 1.804

04942 1.79

04960 1.776

06868 1.82

06886 1.806

06904 1.792

06922 1.778

06940 1.764

088210 1.822

08848 1.808

08866 1.794

08884 1.78

08902 1.766

08920 1.752

0107812 1.824

0108010 1.81

010828 1.796

010846 1.782 010864 1.768 010882 1.754 010900 1.74 0127414 1.826 0127612 1.812 0127810 1.798 012808 1.784 012826 1.77 012844 1.756 012862 1.742 012880 1.728 0147016 1.828 0147214 1.814 0147412 1.8 0147610 1.786 014788 1.772 014806 1.758 014824 1.744 014842 1.73 014860 1.716 0166618 1.83 0166816 1.816 0167014 1.802 0167212 1.788 0167410 1.774 016768 1.76 016786 1.746 016804 1.732 016822 1.718 016840 1.704 0186418 1.818 0186616 1.804 0186814 1.79 0187012 1.776 0187210 1.762 018748 1.748 018766 1.734 018784 1.72 018802 1.706 018820 1.692 0206020 1.82 0206218 1.806 0206416 1.792 0206614 1.778 0206812 1.764 0207010 1.75 020728 1.736 020746 1.722 020764 1.708 020782 1.694 020800 1.68 0225622 1.822 0225820 1.808 0226018 1.794 0226216 1.78 0226414 1.766 0226612 1.752 0226810 1.738 022708 1.724

022726 1.71 022744 1.696 022762 1.682 022780 1.668 0245224 1.824 0245422 1.81 0245620 1.796 0245818 1.782 0246016 1.768 0246214 1.754 0246412 1.74 0246610 1.726 024688 1.712 024706 1.698 024724 1.684 024742 1.67 024760 1.656 0264826 1.826 0265024 1.812 0265222 1.798 0265420 1.784 0265618 1.77 0265816 1.756 0266014 1.742 0266212 1.728 0266410 1.714 026668 1.7 026686 1.686 026704 1.672 026722 1.658 0284428 1.828 0284626 1.814 0284824 1.8 0285022 1.786 0285220 1.772 0285418 1.758 0285616 1.744 0285814 1.73 0286012 1.716 0286210 1.702 028648 1.688 028666 1.674 028684 1.66 0304030 1.83 0304228 1.816 0304426 1.802 0304624 1.788 0304822 1.774 0305020 1.76 0305218 1.746 0305416 1.732 0305614 1.718 0305812 1.704 0306010 1.69 030628 1.676 0323830 1.818 0324028 1.804 0324226 1.79 0324424 1.776 0324622 1.762

0324820 1.748 0325018 1.734 0325216 1.72 0325414 1.706 0325612 1.692 0325810 1.678 0343432 1.82 0343630 1.806 0343828 1.792 0344026 1.778 0344224 1.764 0344422 1.75 0344620 1.736 0344818 1.722 0345016 1.708 0345214 1.694 0345412 1.68 0363034 1.822 0363232 1.808 0363430 1.794 0363628 1.78 0363826 1.766 0364024 1.752 0364222 1.738 0364420 1.724 0364618 1.71 0364816 1.696 0382636 1.824 0382834 1.81 0383032 1.796 0383230 1.782 0383428 1.768 0383626 1.754 0383824 1.74 0384022 1.726 0384220 1.712 0384418 1.698 0402238 1.826 0402436 1.812 0402634 1.798 0402832 1.784 0403030 1.77 0403228 1.756 0403426 1.742 0403624 1.728 0403822 1.714 0421840 1.828 0422038 1.814 0422236 1.8 0422434 1.786 0422632 1.772 0422830 1.758 0423028 1.744 0423226 1.73 0423424 1.716 0441442 1.83 0441640 1.816 0441838 1.802 0442036 1.788 0442234 1.774

0442432 1.76 0442630 1.746 0442828 1.732 0461242 1.818 0461440 1.804 0461638 1.79 0461836 1.776 0462034 1.762 0462232 1.748 0462430 1.734 048844 1.82 0481042 1.806 0481240 1.792 0481438 1.778 0481636 1.764 0481834 1.75 0482032 1.736 050446 1.822 050644 1.808 050842 1.794 0501040 1.78 0501238 1.766 0501436 1.752 052048 1.824 052246 1.81 052444 1.796 052642 1.782 052840 1.768 0521038 1.754 054046 1.798 054244 1.784 054442 1.77 056044 1.772 20926 1.818 20944 1.804 20962 1.79 20980 1.776 22888 1.82 22906 1.806 22924 1.792 22942 1.778 22960 1.764 248410 1.822 24868 1.808 24886 1.794 24904 1.78 24922 1.766 24940 1.752 268012 1.824 268210 1.81 26848 1.796 26866 1.782 26884 1.768 26902 1.754 26920 1.74 287614 1.826 287812 1.812 288010 1.798 28828 1.784 28846 1.77

28864 1.756 28882 1.742 28900 1.728 2107216 1.828 2107414 1.814 2107612 1.8 2107810 1.786 210808 1.772 210826 1.758 210844 1.744 210862 1.73 210880 1.716 2126818 1.83 2127016 1.816 2127214 1.802 2127412 1.788 2127610 1.774 212788 1.76 212806 1.746 212824 1.732 212842 1.718 212860 1.704 2146618 1.818 2146816 1.804 2147014 1.79 2147212 1.776 2147410 1.762 214768 1.748 214786 1.734 214804 1.72 214822 1.706 214840 1.692 2166220 1.82 2166418 1.806 2166616 1.792 2166814 1.778 2167012 1.764 2167210 1.75 216748 1.736 216766 1.722 216784 1.708 216802 1.694 216820 1.68 2185822 1.822 2186020 1.808 2186218 1.794 2186416 1.78 2186614 1.766 2186812 1.752 2187010 1.738 218728 1.724 218746 1.71 218764 1.696 218782 1.682 218800 1.668 2205424 1.824 2205622 1.81 2205820 1.796 2206018 1.782 2206216 1.768

2206414 1.754 2206612 1.74 2206810 1.726 220708 1.712 220726 1.698 220744 1.684 220762 1.67 220780 1.656 2225026 1.826 2225224 1.812 2225422 1.798 2225620 1.784 2225818 1.77 2226016 1.756 2226214 1.742 2226412 1.728 2226610 1.714 222688 1.7 222706 1.686 222724 1.672 2244628 1.828 2244826 1.814 2245024 1.8 2245222 1.786 2245420 1.772 2245618 1.758 2245816 1.744 2246014 1.73 2246212 1.716 2246410 1.702 224668 1.688 224686 1.674 2264230 1.83 2264428 1.816 2264626 1.802 2264824 1.788 2265022 1.774 2265220 1.76 2265418 1.746 2265616 1.732 2265814 1.718 2266012 1.704 2266210 1.69 2284030 1.818 2284228 1.804 2284426 1.79 2284624 1.776 2284822 1.762 2285020 1.748 2285218 1.734 2285416 1.72 2285614 1.706 2285812 1.692 2303632 1.82 2303830 1.806 2304028 1.792 2304226 1.778 2304424 1.764 2304622 1.75 2304820 1.736

2305018 1.722 2305216 1.708 2305414 1.694 2323234 1.822 2323432 1.808 2323630 1.794 2323828 1.78 2324026 1.766 2324224 1.752 2324422 1.738 2324620 1.724 2324818 1.71 2342836 1.824 2343034 1.81 2343232 1.796 2343430 1.782 2343628 1.768 2343826 1.754 2344024 1.74 2344222 1.726 2344420 1.712 2362438 1.826 2362636 1.812 2362834 1.798 2363032 1.784 2363230 1.77 2363428 1.756 2363626 1.742 2363824 1.728 2382040 1.828 2382238 1.814 2382436 1.8 2382634 1.786 2382832 1.772 2383030 1.758 2383228 1.744 2383426 1.73 2401642 1.83 2401840 1.816 2402038 1.802 2402236 1.788 2402434 1.774 2402632 1.76 2402830 1.746 2421442 1.818 2421640 1.804 2421838 1.79 2422036 1.776 2422234 1.762 2422432 1.748 2441044 1.82 2441242 1.806 2441440 1.792 2441638 1.778 2441836 1.764 2442034 1.75 246646 1.822 246844 1.808 2461042 1.794 2461240 1.78

2461438 1.766 248248 1.824 248446 1.81 248644 1.796 248842 1.782 2481040 1.768 250048 1.812 250246 1.798 250444 1.784 252046 1.786 408610 1.822 40888 1.808 40906 1.794 40924 1.78 40942 1.766 40960 1.752 428212 1.824 428410 1.81 42868 1.796 42886 1.782 42904 1.768 42922 1.754 42940 1.74 447814 1.826 448012 1.812 448210 1.798 44848 1.784 44866 1.77 44884 1.756 44902 1.742 44920 1.728 467416 1.828 467614 1.814 467812 1.8 468010 1.786 46828 1.772 46846 1.758 46864 1.744 46882 1.73 46900 1.716 487018 1.83 487216 1.816 487414 1.802 487612 1.788 487810 1.774 48808 1.76 48826 1.746 48844 1.732 48862 1.718 48880 1.704 4106818 1.818 4107016 1.804 4107214 1.79 4107412 1.776 4107610 1.762 410788 1.748 410806 1.734 410824 1.72 410842 1.706 410860 1.692

4126420 1.82 4126618 1.806 4126816 1.792 4127014 1.778 4127212 1.764 4127410 1.75 412768 1.736 412786 1.722 412804 1.708 412822 1.694 412840 1.68 4146022 1.822 4146220 1.808 4146418 1.794 4146616 1.78 4146814 1.766 4147012 1.752 4147210 1.738 414748 1.724 414766 1.71 414784 1.696 414802 1.682 414820 1.668 4165624 1.824 4165822 1.81 4166020 1.796 4166218 1.782 4166416 1.768 4166614 1.754 4166812 1.74 4167010 1.726 416728 1.712 416746 1.698 416764 1.684 416782 1.67 4185226 1.826 4185424 1.812 4185622 1.798 4185820 1.784 4186018 1.77 4186216 1.756 4186414 1.742 4186612 1.728 4186810 1.714 418708 1.7 418726 1.686 4204828 1.828 4205026 1.814 4205224 1.8 4205422 1.786 4205620 1.772 4205818 1.758 4206016 1.744 4206214 1.73 4206412 1.716 4206610 1.702 420688 1.688 4224430 1.83 4224628 1.816 4224826 1.802