A System Dynamics Approach for Local Settlement Morphology Planning Based on Household Consumption Carbon Footprint

Article Preview

Abstract:

Energy consumption and greenhouse gas emission (GHG emission) from household consumption became increasingly important under the background of global urbanization. Taking Xiamen Island, a rapidly urbanizing area, as the case study area, this article categorized the settlement morphology of Xiamen Island into three types according to the key factors influencing the GHG emission of urban household consumption. The feedback loops intra- and inter-subsystems (settlement morphology, population, and carbon footprint) were induced by clarifying the causal relationship and feedback loops among variables. Then, the three subsystems were coupled based on feedback loops into the system dynamic model of carbon footprint of residential area in Xiamen Island and the validity of the model was verified. At last, the dynamic mechanism between the transition of settlement morphology and household consumption was characterized through the system dynamic simulation. The result proved that the model can dynamically characterized the effect of social and economic factors upon the household consumption carbon footprint, and is beneficial to the urban land planning of Xiamen Island and design and construction of residential settlement morphology.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 524-527)

Pages:

2400-2405

Citation:

Online since:

May 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] J. Lin, B. Cao, S. Cui, W. Wang and X. Bai: Energy Policy, Vol. 38 (2010) No.9, p.5123.

Google Scholar

[2] D. Satterthwaite: Environment and Urbanization, Vol. 20 (2008) No.2, p.539.

Google Scholar

[3] N. B. Grimm, S. H. Faeth, N. E. Golubiewski, C. L. Redman, J. Wu, X. Bai and J. M. Briggs: Science, Vol. 319 (2008) No.5864, p.756.

DOI: 10.1126/science.1150195

Google Scholar

[4] C. M. Jones and D. M. Kammen: Environmental Science & Technology, Vol. 45 (2011) No.9, p.4088.

Google Scholar

[5] Y. Wang and M. Shi: Chinese Journal of Population, Resources and Environment, Vol. 7 (2009) No.3, p.11.

Google Scholar

[6] Y. M. Wei, L. C. Liu, Y. Fan and G. Wu: Energy Policy, Vol. 35 (2007) No.1, p.247.

Google Scholar

[7] T. Kenny and N. F. Gray: Environment International, Vol. 35 (2009) No.2, p.259.

Google Scholar

[8] T. Dietz, G. T. Gardner, J. Gilligan, P. C. Stern and M. P. Vandenbergh: Proceedings of the National Academy of Sciences, Vol. 106 (2009) No.44, p.18452.

Google Scholar

[9] S. J. Jeong, K. S. Kim and J. W. Park: Energy Policy, Vol. 37 (2009) No.7, p.2630.

Google Scholar

[10] A. J. C. Trappey, C. V. Trappey, G. Y. P. Lin and Y. Chang: Renewable and Sustainable Energy Reviews, Vol. 16 (2012) No.1, p.958.

DOI: 10.1016/j.rser.2011.09.016

Google Scholar

[11] M. Lenzen, M. Wier, C. Cohen, H. Hayami, S. Pachauri and R. Schaeffer: Energy, Vol. 31 (2006) No.2-3, p.181.

Google Scholar

[12] H. C. Park and E. Heo: Energy Policy, Vol. 35 (2007) No.5, p.2839.

Google Scholar

[13] C. Wilson and H. Dowlatabadi: Annual Review of Environment and Resources, Vol. 32 (2007), p.169.

Google Scholar