Urban transportation index is widely used to reflect the road network operation in the cities of China, especially in metropolis such as Beijing, Shanghai, Guangzhou, and Shenzhen. This study focuses on quantitative analysis of the relationship between urban transportation index and its influencing factors. Five types influencing factors are considered in this study, including; traffic general statistic data, transit ridership, traffic management countermeasure, weather, and date distribution. 1376 consecutive days of urban transportation index are selected as simple. Chi-square test and multivariate logistic regression are applied to analysis the factors contribute to urban transportation index. According to the analysis, and the influence factors such as date type, week type, traffic restrictions type, weather type, etc. affect urban transportation index with a significant difference (P<0.10). The multivariate logistic regression analysis results show that the most correlative factors are raining day, 4 and 9 tail number traffic restriction, bus daily traffic volume (B=-0.377, Sig=0.099, Exp(B)=0.686), railway daily traffic volume (B=0.303, Sig=0.001, Exp(B)=1.177), taxi daily traffic volume (B=-3.049, Sig=0.007, Exp(B)=0.047), sharing bicycle daily rental (B=0.303, Sig=0.001, Exp(B)=1.353), date type, week type, traffic restrictions type, month type. Based on analyzing urban transportation index factors of drivers in Beijing by method of quantitative and qualitative analysis, the preventive countermeasures are presented for monitoring and guiding the traffic travel in Beijing.
Analysis on Relationship between Urban Transportation Index and Its Influencing Factors in Beijing
17th COTA International Conference of Transportation Professionals ; 2017 ; Shanghai, China
CICTP 2017 ; 3607-3616
2018-01-18
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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