NDLI: Correlation between land-use change and greenhouse gas emissions in urban areas

Content Provider	Springer Nature Link
Author	Chang, C. L. Chiueh, P. T. Su, C. Y. Liao, C. H.
Copyright Year	2013
Abstract	Urban areas are the main sources of greenhouse gas (GHG) emissions. Previous studies have identified the effectiveness of better urban design on mitigating climate change and land-use patterns in cities as important factors in reducing GHG by local governments. However, studies documenting the link between land-use and GHG emissions are scant. Therefore, this study explores the driving forces of land-use change and GHG emission increments in urban areas and investigates their correlations. The study area, Xinzhuang, is a satellite city of Taipei that has rapidly urbanized in the past few decades. Twenty-one potential variables were selected to determine the driving forces of land-use change and GHG emission increments by binomial logistic regression based on the investigation data of national land use in 1996 and 2007. The correlation of land-use change and GHG increments was examined by Spearman rank-order analysis. Results of logistic regression analysis identified that population and its increasing density rate are main driving forces on both land-use change and GHG increments. The Spearman rank correlation matrix indicates that fluctuating urbanization level is significantly correlated with the increase of total GHG emissions, the emissions of residence, commerce, and transportation sectors in neighborhoods; and the emissions of residence and transportation sectors seem closely connected to current urbanization level. The findings suggest that relationships among land-use, urbanization, and GHG emissions in urban areas vary greatly according to residence and transportation characteristics. Land-based mitigation may provide the most viable mechanism for reducing GHG emissions through residence and transportation sectors.
Starting Page	1275
Ending Page	1286
Page Count	12
File Format	PDF
ISSN	17351472
Journal	International Journal of Environmental Science & Technology
Volume Number	10
Issue Number	6
e-ISSN	17352630
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2013-02-12
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Binominal logistic regression Ecotoxicology Spearman rank-order correlation Land-use classification Greenhouse gas inventory Water Management Waste Water Technology Aquatic Pollution Environment Driving force analysis Water Pollution Control Environmental Chemistry Environmental Science and Engineering Soil Science & Conservation
Content Type	Text
Resource Type	Article
Subject	Environmental Chemistry Environmental Engineering Agricultural and Biological Sciences

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