[pp.25-32]

Exploring the Characterization of Building Stock and its Relationship with Nighttime Light Distribution in Japan: A Spat

Hanwei LIANG, Wanxin HOU, Cherry Myo LWIN and Hiroki TANIKAWA （Nagoya University）

Abstract:
Materials stocked in infrastructure not only reflect the wealth status of a society but also play a key role in achieving its future sustainable development and cyclic economy. To support the planning and implementation of recycling of construction materials in buildings, the present study characterizes the spatial distribution of material stock accumulated in buildings in Japan and establishes estimation models for building stock based on nighttime light distribution. The results demonstrate that the total building stock is much higher in densely populated areas, with more materials stocked in the foundations of buildings than in their superstructures. Moreover, the building stock appears to be correlated well with total dwelings and urban population at the prefecture level, with the overall spatial distribution of building stock following a clustered pattern. Four types of regression models are established between total building stock and nighttime light distribution; of these, the power law model exhibits the greatest accuracy (R² =0.657, P<0.01). Regression models for the gross floor area of buildings and the stock of four construction materials are also examined. The detailed analysis presented here provides a fast and efficient means of estimating material accumulation in buildings and provide a sound basis for the implementation of material recycling in the future.

Key Word:
building stock, nighttime light distribution, Moran’s I, regression model, spatial distribution

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