Quantifying the relationships between air quality and transport before Covid-19

Xu Zhang

doi:10.1117/12.3024165

14 February 2024 Quantifying the relationships between air quality and transport before Covid-19

Xu Zhang

Proceedings Volume 13018, International Conference on Smart Transportation and City Engineering (STCE 2023); 130181W (2024) https://doi.org/10.1117/12.3024165
Event: International Conference on Smart Transportation and City Engineering (STCE 2023), 2023, Chongqing, China

Abstract

The research topic is quantifying the relationships between air quality and transport. The purpose of this study is to collect and analyse air quality as well as the social and economy data which indicates the development of transportation and urbanization. The mainly methodology behind this paper is using multiple linear regression to analyze the relationships among air quality, the development of transport in high speed railway and population associated with more than 300 Chinese cities’ geographical distribution. There are various kinds of tools used in this research. When processing the data, SQL database and Excel is used to manage all the database and make it the formation which can be easily accessed. The multiple linear regression in SPSS is used when analyzing the relationships in all kinds of data. At this stage, multiple zero-one dummy variables are defined to help with the linear regression analyse. It can be seen that air quality is strongly fluctuate with time change in a year, also has very high correlation with the geographical distribution. Generally speaking, air quality index is associated with various kinds of variables as time change, geographical distribution, social and economy development which indicates urbanization as well as different air pollutants. This paper is to analyze the relationships among all of them and observe how the air quality fluctuate.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xu Zhang "Quantifying the relationships between air quality and transport before Covid-19", Proc. SPIE 13018, International Conference on Smart Transportation and City Engineering (STCE 2023), 130181W (14 February 2024); https://doi.org/10.1117/12.3024165

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KEYWORDS

Air quality

Linear regression

Air contamination

Excel

Analytical research

COVID 19

Error analysis

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