Housing Arrangements in Pursuit of Maximum GFA Under CO2 Emission Constraint
Housing Arrangements in Pursuit of Maximum GFA Under CO2 Emission Constraint
复制标题
在二氧化碳排放限制下追求最大建筑面积的住房安排
DOI：
10.3130/jaabe.4.355
复制
发表时间：
2005
影响因子：
1.3
通讯作者：
D. Matsushita
中科院分区：
文献类型：
--
作者：
Peng;Junzo Munemoto;D. Matsushita
摘要 本文试图在给定的家庭年二氧化碳排放量（HACO2）限制下，开发一种住房安排管理工具。 HACO2 定义为房屋建造和运营过程中的生命周期二氧化碳排放量 (LCCO2) 和通勤过程中的二氧化碳排放量 (CTCO2) 之和。在这样的工具规则下，遗传算法（GA）被用来寻找住房安排方案，以追求城市地区平均建筑面积（GFA）的最大。对公模、自模、混合模三种流量模式进行了仿真测试和比较。结果表明：1）房屋距离工作场所（城市核心）越近，建筑面积越大； 2）不同的交通方式可能导致不同的住房安排模式； 3）自我模式能量需求高，评价值最低，在约束条件下获得更好生活条件的效率最低。
abstract 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.