Serious traffic congestion not only affects people’s quality of life, but also increases the economic cost of the city and reduces the efficiency of urban operation. As a typical representative of mountain cities and big cities, Chongqing has a serious traffic congestion problem. Through qualitative analysis of the causes of traffic congestion in Chongqing from 2004 to 2019, 15 relevant indicators are extracted and the influencing factors are analyzed by using SPSS principal component analysis. The research shows that the degree of traffic congestion is positively correlated with urban population density, GDP and other social and economic factors, and the amount of public transport supply and the number of taxis significantly affect the degree of traffic congestion. Finally, from urban development, public transport supply and other aspects, put forward the corresponding countermeasures and suggestions.


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    Titel :

    Analysis on Influencing Factors of Traffic Congestion in Chongqing and Study on Countermeasures


    Untertitel :

    Empirical Analysis Based on Principal Component Analysis


    Weitere Titelangaben:

    Atlantis Highlights in intell. Systems


    Beteiligte:
    Akhtar, Nadeem (Herausgeber:in) / Draman, Azah Kamilah (Herausgeber:in) / Abdollah, Mohd Faizal (Herausgeber:in) / Jia, Xinyu (Autor:in)

    Kongress:

    International Conference on Public Management and Intelligent Society ; 2023 ; Shanghai, China March 24, 2023 - March 26, 2023



    Erscheinungsdatum :

    26.07.2023


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






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