IMPACT OF LAND-MIXING DEGREE OF RESIDENTIAL AREA ON CARBON EMISSIONS OF COMMUTING: A CASE STUDY OF TYPICAL RESIDENTIAL DISTRICT, JIANGNING DISTRICT, NANJING
MAN Zhou1, ZHAO Rong-qin1, YUAN Ying-chao1, FENG De-xian2, YANG Qing-lin1, WANG Shuai1, YANG Wen-juan1
1. School of Resource and Environment, North China University of Water Resource and Electric Power, Zhengzhou 450045, China;
2. Institute of Geography, Henan Academy of Sciences, Zhengzhou 450052, China
Abstract Presently, China is facing severe international pressure to reduce carbon emissions. Reducing commuter traffic carbon emissions is necessary and important for our country's development and construction. Building low carbon urban development patterns and urban spatial structure is one important part of urban planning. Paper combines the survey data of the Nanjing Jiangning district land using status and commuter traffic data, using calculation formula of information entropy measure out research regional land-mixing degree, determining 5 types of land use patterns which have higher impact on the carbon emissions of commuter traffic and analyzing the influence of urban functional land-mixing degree on the carbon emission of commuting traffic. Results show that:1) Land-mixing degree of Central District (as opposed to suburban) is highly negatively correlated with carbon emissions of commuter transport. 2) In carbon emissions of commuter traffic, private car commuting emissions are dominant. 3) Different community residents commuting traffic carbon emissions showed significant differences, urban center residents' low carbon emissions of commuting traffic patterns were significantly, while the suburban residents' commuting patterns showed high carbon emission characteristics. 4) Land-mixing degree of central district (as opposed to suburban) was highly correlated with low-carbon travel.
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周江评,陈晓键,黄伟,等.中国中西部大城市的职住平衡与通勤效率——以西安为例[J].地理学报,2013,68(10):1316-1330.[Zhou Jiangping,Chen Xiaojian,Huang Wei,et al.Jobs-housing balance and commute efficiency in cities of central and western China:A case study of Xi'an[J].Acta Geographica Sinica,2013,68(10):1316-1330.]
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2018, Vol. 33 
