Recently, Cennavi, a professional big data company of NavInfo Group, officially released the 2018Q3 Traffic Travel Report. Based on Cennavi big data analysis platform, NavInfo traffic index platform and Tencent location big data platform, the report drawn 100 major cities across the country for analysis. The report shows that the overall national congestion situation has eased compared with the same period of 2017, those featured with congestion decline account for 77% among the 100 cities in the country.
Cities featured with congestion decline through the country accounted for 77%, those featured congestion increase only accounted for 5%
In 2018 Q3, the number of cities featured congestion increase accounted for 5% among the 100 cities around the country compared with the same period in 2017, those with equal situation accounted for 18%, and those featured with congestion decline was 77%. The overall congestion is in a mitigated status. The top three provinces that encounter the maximal number of cities with congestion mitigation are: Jiangsu, Guangdong and Shandong.
Congestion mitigation benefits from the gradual improvement of infrastructure and road construction
Compared with the same period in 2017, 77 cities see traffic congestion decline in the 2018Q2. The cities significantly featured with congestion decline are mainly concentrated in Jiangsu, Hebei, Guangdong and other provinces. The gradual completion of infrastructure/road construction also improved the urban traffic conditions. The city with most obvious congestion mitigation is Xuzhou. In the past two years, Xuzhou entered the busy period of municipal construction. Its three-ring elevated road and urban subway construction and the transformation of some urban roads once disturbed the city traffic. As related projects and pavement construction were completed, the traffic situation has gradually been eased.
Rapid growth of automobile inventory, severe weather, slow construction of infrastructure, and many other factors have led to the increase of traffic congestion
Traffic congestion in 2018Q3 get intensified in five cities, namely Wuxi, Yinchuan, Xianyang, Dongying and Harbin compared with the same period in 2017. Factors such as infrastructure construction, rapid growth of automobile inventory and severe weather have contributed to the increase in congestion in these cities. Taking Wuxi as an example, the number of automobile inventory in the end of 2017 reached 1,764,500, an increase of 11.4% YOY; the number of private cars was up to 1,489,200, an increase of 11.3% YOY. The high-speed growth of automobile inventory has continuously increased the traffic pressure.
Generally improved traffic conditions in tier-1 and new tier-1 cities
Compared with historical data, the traffic index of tier-1 and new tier-1 cities decreased by 4.42% on average in the 2018Q3 compared with the same period of 2017, the traffic pressure in morning and evening peaks decreased by 3.91%, and 4.75% in the flat peak. As the scope of travel restricted cities continues to expand, the traffic conditions in tier-1 and new tier-1 cities have gradually improved.
Xi'an traffic situation is particularly prominent in the sub-provincial cities
Among the 15 sub-provincial cities, Xi'an's average traffic index ranked the 8th and the traffic index was 2.16. Compared with the same period in 2017, Xi'an's traffic index fell 7.41%. The data show that the population of Xi'an household registration increased by 600,000 by September 2018. In the face of the population surge, the traffic pressure declined conversely, which mainly due to the advanced information traffic management measures of the local traffic police department in Xi'an.
The improved traffic conditions in tier-2 cities have been proved to be closely related to the improvement of traffic facilities.
Compared with the historical data, it is found that the traffic index of the tier-2 cities has dropped by an average of 4.87%, and the decline in traffic pressure during the peak hours and the flat peak hours is basically the same. The infrastructure of most tier-2 cities has improved. The decline in traffic pressure is reasonable with the completion of road construction such as urban expressways, important tie lines, etc.
Traffic conditions in the tier-3 and tier-4 cities are also improving, which is related to the population loss
Compared with historical data, it is found that the traffic index of the tier-3 or tier-4 cities in the 2018Q3 decreased by 4.70% on average, 4.95% in peak hours and 4.54% in the flat peak. This all contributes to the talent introduction programs launched in the tier-1 and tier-2 cities, which is closely related to the population loss of the tier-3 and tier-4 cities.