Simulation of the evolution of the Chinese building and infrastructure stock

Yang, Wei; Kohler, Niklaus

doi:10.1080/09613210701702883

Cited by 79 publications

(79 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As encouraging as that is, leadership requires ambition that moves well beyond current best practice, such as the use of energy rating certificates or Building Information Models (BIMs). For instance, around 50% of the environmental impact of China's built environment is accounted for by embodied energy (Yang and Kohler, 2008), mostly cement and steel, the production of both of which is more energy and carbon intensive than in North America, Europe and Japan. Thus in addition to demonstrating leadership by delivering low-carbon new cities and their associated infrastructure (in terms of energy efficiency, environmental impact, advanced logistics and construction methods, etc.…”

Section: The Role Of Regional and National Strategiesmentioning

confidence: 99%

Challenges and future directions for energy and buildings research

Summerfield

Lowe

2012

Building Research & Information

View full text Add to dashboard Cite

Section: The Role Of Regional and National Strategiesmentioning

confidence: 99%

Challenges and future directions for energy and buildings research

Summerfield

Lowe

2012

Building Research & Information

View full text Add to dashboard Cite

“…Theoretically, nighttime lights increase with lit in-use steel following a linear trend in log-log space (Figure 3), and the intercept of the linear function can be attributed to the unlit in-use steel stock. With the rapid urbanization in China, in-use steel stocks in both lit and unlit buildings and infrastructure are increasing along the timeline [3,9]. The increase in unlit in-use steel stock may increase the intercept of the cross-sectional LS models during 1992-2008 and gradually result in a large shift between the intercepts in 1992 and 2008, as shown in Figure 4.…”

Section: Discussionmentioning

confidence: 93%

Modeling In-Use Steel Stock in China’s Buildings and Civil Engineering Infrastructure Using Time-Series of DMSP/OLS Nighttime Lights

et al. 2014

View full text Add to dashboard Cite

China's rapid urbanization has led to increasing steel consumption for buildings and civil engineering infrastructure. The in-use steel stock in the same is considered to be closely related to social welfare and urban metabolism. Traditional approaches for determining the in-use steel stock are labor-intensive and time-consuming processes and always hindered by the availability of statistical data. To address this issue, this study proposed the use of long-term nighttime lights as a proxy to effectively estimate in-use steel stock for buildings (IUSSB) and civil engineering infrastructure (IUSSCE) at the provincial level in China. Significant relationships between nighttime lights versus IUSSB and IUSSCE were observed for provincial variables in a single year, as well as for time series variables of a single province. However, these relationships were found to differ among provinces (referred to as -inter-individual differences‖) and with time (referred to as -temporal differences‖). Panel regression models were therefore proposed to estimate IUSSB and IUSSCE in consideration of the temporal and inter-individual differences based on a dataset covering 1992-2007. These models were validated using data for 2008, and the results showed good estimation for both IUSSB and IUSSCE. The proposed approach OPEN ACCESSRemote Sens. 2014, 6 4781 can be used to easily monitor the dynamic of IUSSB and IUSSCE in China. This should be critical in providing valuable information for policy making regarding regional development of buildings and infrastructure, sustainable urban resource management, and cross-boundary material recycling.

show abstract

“…This work was then extended to estimate the iron and steel stock of the buildings [1]. Similar work was carried out by Yang et al [5], which used a combined top-down and bottom-up approach to account the material and energy flows in construction sector. Other researchers included China as a part of their work, tried to estimate the stock for multiple countries [2,6].…”

Section: Introductionmentioning

confidence: 93%

Estimating in-use steel stock of civil engineering and building in China by nighttime light image

2011

View full text Add to dashboard Cite

Abstract:China is dramatically changing due to rapid development in recent years. This can be observed from the change in landscapes, which most resulted from new or replaced constructions. The floor area of residential and commercial construction had increased fourfold from 1990 to 2005, and its speed does not show any sign of slowing down. The construction will also drive the demand of steel, which comprises half of the total national consumption. However, there were not many studies aiming to quantify the construction steel stock in China, which was mainly due to lack of statistical data. In order to overcome this obstacle, we proposed a methodology to estimate sub-national steel stock using nighttime light image. As a result, we found out that the Beijing municipality possesses the most construction steel stock. Most construction steel stock exists on the eastern coast, and is most concentrated in the Beijing municipality, the Tianjin municipality, the Shanghai municipality, and the Guangdong province.

show abstract

Simulation of the evolution of the Chinese building and infrastructure stock

Cited by 79 publications

References 8 publications

Challenges and future directions for energy and buildings research

Challenges and future directions for energy and buildings research

Modeling In-Use Steel Stock in China’s Buildings and Civil Engineering Infrastructure Using Time-Series of DMSP/OLS Nighttime Lights

Estimating in-use steel stock of civil engineering and building in China by nighttime light image

Contact Info

Product

Resources

About