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Taichung City Urban Design Review Committee in accordance with the relevant authority handles volume transfer cases up to a certain amount of transfer content of the consideration.In order to implement the internalization of external costs, the revinew committeeasks developers to provide friendly environmental design measures to reduce the externality impact of volume transfer.During2011 and2016, there are 27.37% cases not passing the reviewsdue to lack of friendliness Environmental Design. In this dissertation, a Logit model is used to analyze key factors of friendly environmental design affecting the decisions made by review committee. The results will propose a friendly environmental design in key factors for the public sector (government agencies) to consider and private sectors (building developers) reference architecture design, and may improve the efficiency and speed up the consideration of building development. I firstsummarize building capacity transfer cases and find out the key factors of first time pass. There are total of 10independent variables, included strengthening the retreat open space through environmental design in the case of a friendly, open lower basement Digging, increasing plantation and greening, adding street facilities, adopting public facilities, providing through corridors, reducing shelter rates, providing indoor public space, renewable energy settings and other friendly environment design measures. This study has 179 samples (cases) with 130 first time pass and 49 first time not pass.By using the Logit regression analysis in the STATA software package, the empirical results show that open space in which to strengthen the back, adoption of public facilities, provided passingcorridor, settingsenergy-friendly environmental design, and other environmental friendly desingshave positively significant effects on passing the review. No planting greenery and no additional street furniture 100% predict the failure of the review andincrease of indoor public spaces 100% predict the successTherefore total 28 cases were excluded in the sample and effective number of cases in the Logit model is 151.The model can correctly predict the success and failure by the rate of84.77% and can be very useful in the review system
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