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There is a weak negative correlation between urban traffic index and car ownership as a whole, and the traffic health index of cities with the same car ownership is high or low, with great differences.
Recently, together with Tsinghua University-Daimler Joint Research Center for Sustainable Transportation, Intelligent Transportation System (ITS) Research Center of Tongji University and Joint Laboratory for Future Transportation and Urban Computing, Gaode Map released the traffic analysis report of major cities in China in 20 19.
The report shows that in recent years, China's highway infrastructure construction is still in a state of sustained growth, and the growth rate of high-grade highways is obvious.
In 20 19, the national expressway mileage increased by 3.3%, the urban road network mileage increased by 3.8%, and the bus road network mileage increased by 14.2%.
Among all road grades, the growth rate of secondary trunk roads and above is obvious, and the road network structure is constantly optimized in the direction of high capacity and high bearing capacity. Among them, compared with 20 17 and 20 18, the main roads increased by 5.8% and 9.2% respectively, and the secondary roads increased by 6.7% and 17% respectively.
At the same time, in 20 19, the average peak congestion delay index of 50 major cities in China was 1.650, which was 3.6% lower than that of 20 18 and 5.8% lower than that of 20 17, and the congestion of 8 1% cities decreased or remained flat.
In addition, in the context of the national high-speed promotion of ETC construction and the demolition of provincial toll stations, the proportion of national high-speed overall congestion mileage decreased by 14.2% in 20 19, hitting a new low of nearly three years.
In the holiday travel scene, except Dragon Boat Festival and National Day, the high-speed congestion in other holidays has increased to a certain extent, and affected by the bad weather, the proportion of high-speed congestion mileage during New Year's Day on 20 19 has the highest year-on-year increase, reaching 48.4%.
Judging from the ranking of urban expressway congestion, in 20 19 years, the mileage of expressway congestion in Beijing was the highest, reaching 1.2 1%.
Judging from the change range of 20 18 expressway congestion, 84% of the provinces/municipalities directly under the central government have a decreasing proportion of expressway congestion mileage, among which Tibet has the highest congestion reduction rate of 37.3% and Jiangsu has the highest congestion increase rate of 25%.
According to the report, Harbin replaced Beijing as the most congested city in 20 19, Chongqing and Changchun ranked second and third, and Beijing retired to fourth, followed by Jinan, Hohhot, Xi' an, Dalian, Guiyang and Shenyang.
On the whole, in 20 19, the congestion in most parts of the country showed a good trend, with the most obvious decline in South China and Southwest China, and the proportion of urban congestion was 39%, up year-on-year? 10% and 20 19 years, the proportion of congested cities in China was only 4%, down 2% year-on-year.
In addition, in 20 19, Xi' an road network has the highest proportion of high delay running time, reaching 41.7%; Guiyang has the highest proportion of mileage in peak congested sections, reaching 5.03%.
Shenzhen has the highest proportion of frequently congested road sections, reaching 0.389%; Harbin has the lowest peak average speed, which is 21.49 km/h; /h； Changchun City has the highest deviation rate of road running speed, reaching 8.46%.
On the spatial level, congestion in most parts of the country shows a good trend and is gradually improving, with the most obvious decline in South China and Southwest China, and the congestion in parts of Heilongjiang Province and Inner Mongolia Province has increased.
The data of driving travel heat in 20 19 shows that the travel demand of transportation hub still ranks first, accounting for 17.2%.
The travel enthusiasm of business residence, shopping and catering also increased year-on-year, among which the total travel demand of shopping and catering related destinations accounted for 16.6 1%, up 4.8% year-on-year.
The report follows the comprehensive evaluation "Happiness Index of Ground Bus Travel" initiated by Gaode Map, and comprehensively describes the operation status of urban ground bus. The higher the index, the closer to the ideal value, and the happier the urban traffic.
Among all monitored cities in 20 19, Ningbo, Shijiazhuang, Haikou, etc. 10 city index is higher.
Among them, Ningbo's ground bus travel happiness index is the highest, reaching 78.47%.
From the perspective of public transport service level, Lanzhou's "average waiting time at rush hour" is 5.4 1 minute, which is the best among all cities.
Chongqing and Changsha rank first in megacities and megacities respectively, which means that buses in these cities have high frequency of departure during peak hours and are less affected by traffic environment interference.
The report pointed out that the bigger the city, the more likely it is to need to transfer to public transportation.
In 20 19, among the megacities, Shenzhen (1.376) has the smallest bus transfer coefficient, and 93% of bus trips have the largest transfer 1 time, Changsha (1.34 1) and Xining (/kloc-).
The transfer coefficient of public transport in Tianjin and Guangzhou increased the most compared with 20 18, both of which increased by 0.057, and the direct bus rate decreased the most significantly.
Among all the monitored cities, the average walking distance of public transport in Harbin is the shortest in China, only 692 meters.
Among the megacities, the average walking distance and transfer distance between Shenzhen and the public transport system are the smallest, and the average walking distance of Xining is the smallest among large and medium-sized cities.
Haikou's bus walking distance decreased the most compared with 20 18, and the total bus walking distance decreased by 129 meters on average, and the convenience of bus walking improved the most significantly.
The report continues to publish the 20 19 ranking of urban traffic health index, comprehensively evaluates it from three dimensions: time, space and efficiency, further optimizes the weight calculation and TOPSIS algorithm, and establishes the comparability of traffic health index.
The higher the index, the closer to the ideal value, and the healthier the city operation; The lower the index, the further away from the ideal value, the more unhealthy it is.
By comparing the "traffic health index" of 50 major cities in China? As a standard for dividing healthy and sub-healthy cities, that is, health horizontal line, the report draws a list of urban traffic health and sub-health.
According to the comprehensive evaluation method of "traffic health index" initiated by Gao De, among the 50 major cities in China, the "traffic health index" of 27 cities is higher than the health level, with Nantong having the highest traffic health index of 74.93%, followed by Changzhou and Shaoxing.
The "traffic health index" of 23 cities is lower than the health level and belongs to relatively sub-health, among which Chongqing is the lowest, with its traffic health index of 49.9%, and Harbin, Guangzhou, Beijing and Guiyang rank 2-5 respectively.
It is understood that Gaode Map has the largest traffic big data ecology in China, with an accuracy rate of over 90%. Based on traffic big data, Gaode Map has established data mining and analysis systems such as Gaode Map Traffic Big Data Publishing Platform, Big Data Open Platform and Alibaba Cloud ODPS.
This article comes from car home, the author of the car manufacturer, and does not represent car home's position.