Housing Arrangements in Pursuit of Maximum GFA Under CO₂ Emission Constraint

抄録

This paper attempts to develop a management instrument for housing arrangements under given constraints regarding household annual CO₂ emissions (HACO₂). HACO₂ was defined as the sum of the life cycle CO₂ emission from house construction and operation (LCCO₂) and the CO₂ emission from commuting (CTCO₂). Under such an instrument rule, genetic algorithm (GA) was used to find a housing arrangement scheme in pursuit of the maximum average gross floor area (GFA) in an urban area. Simulation tests were performed and compared on three traffic modes: public-mode, self-mode, and mixed-mode. The results indicated that, 1) the closer the house was to the workplace (the nucleus of the city), the larger the GFA would be; 2) different traffic modes might lead to different patterns of housing arrangement; and 3) the self-mode had high-energy demand resulting in the lowest evaluation value, and was the least efficient in obtaining better living conditions under the constraints.