Multi-criteria decision analysis can be used to help analyze complex problems including many conflicting objectives. In this Analysis, I chose the shares of floor area allocated to buildings with a specific average floor number and in a district with a specific floor area ratio as decision variables. Minimizing the energy consumption for transportation and construction of buildings, maximizing the area of open space in the city, maximizing the area of natural land use outside the city, and minimizing the number of people exposed to the air pollutant are selected as four conflicting objectives. I obtained the result that reduction of open space is effective to reduce the energy consumption for transportation. This method is useful to determine the environmentally low-impact urban land use and to help people choose the low-impact life-styles.
