Author(s)

Ruijia Yuan ¹, Liqin Zhao ²

Affiliation(s)

¹ Faculty of Science and Engineering, University of Nottingham Ningbo China, Ningbo, 315000, China
² School of Management, Shijiazhuang Tiedao University, Shijiazhuang, 050043, China

Corresponding Author

Liqin Zhao

ABSTRACT

Since the United Nations Climate Change Conference shifted people's attention to the content of greenhouse gases in the atmosphere, more and more countries and cities have set their own carbon neutral targets. There is evidence that about 70% of greenhouse gas emissions are generated in cities. How to reduce carbon emissions in the process of urban development has become a primary concern. According to China's statistics in 2020, 15% of carbon emissions come from the transportation sector. About 90% of the carbon emissions generated in the field of transportation are from road traffic. This thesis used 11 indicator data of 35 cities in China about city size, traffic space, traffic time and public transport, and conducted bivariate correlation analysis and scatter correlation analysis through SPSS26.0 software. It was proved that urban population, urban area, commuting space radius, one-way commuting distance and one-way commuting time showed positive correlation with urban transport carbon emissions. The 2 indicators of workday vehicle peak speed and 5km commuting ratio showed negative correlations. The thesis then used the natural logarithm values of the seven correlation indicators to build a linear regression model, using a stepwise approach to exclude compounding and co-existence between indicators, and further calculated that the significant influencing factors of one-way commuting distance and workday vehicle peak speed had a significant linear relationship with urban carbon emissions. Finally the thesis proposed urban development planning recommendations for the integration of planning in new urban areas, strengthening road accessibility in old urban areas and vigorously developing public transport facilities based on the influencing factors of transport carbon emissions.

KEYWORDS

Carbon emissions, Urban planning, Transport planning, Correlation analysis, Multiple regression analysis

CITE THIS PAPER

Ruijia Yuan, Liqin Zhao, Analyze the Impact Mechanism of Urban Planning on Traffic Carbon Emissions Based on Big Data. Journal of Civil Engineering and Urban Planning (2022) Vol. 4: 17-30. DOI: http://dx.doi.org/10.23977/jceup.2022.040403.

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