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Original Articles

Allocating and mapping carbon footprint at the township scale by correlating industry sectors to land uses

(Associate Professor) , (Postgraduate) , (Ph.D. Candidate) & (Associate Professor)
Pages 441-464 | Received 26 Dec 2014, Accepted 05 Dec 2015, Published online: 04 Nov 2019
 

Abstract

A key part of reducing 2 emissions is exploring scientific methods for calculating carbon footprints and allocating their sources. Several limitations in current approaches exist at smaller scales due to shortcomings and uncertainty in data collection. This article implements an improved approach to allocate carbon footprints at the local, neighborhood scale, taking land uses as a criteria, after verifying the correlation between industry sectors and land uses through cointegration test. A case study of the Wuhan Metropolitan Area (Wh) is provided to examine the method's applicability and effectiveness. Some related spatiotemporal variations in carbon‐footprint values at the township scale are depicted as a spatial tendency from zonal agglomeration to radial diffusion in a core‐periphery structure, which relates to such human‐driven factors as population, transportation, and urban (built‐up) area. The findings provide insight for policymakers to generate appropriate allocative strategies for low‐carbon development.

Additional information

Funding

National Natural Science Foundation of China
Social Science Planning Project of Shanghai

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