Traffic Analysis Report 2018Q2.pdf

2017.11Traffic Analysis ReportsOf Major Cities in ChinaThe Statement This research report is made by AutoNavi Traffic Big-data Team of AutoNaviSoftware Co., and its entire contents are for reference only. The report is made viabig data mining and calculation based on AutoNavi accumulated massive trafficand travel data. The generic algorithms and theories ensure its rationality andscientificity. The report uses the “congestion delay index” as a metric for urbancongestion, i.e., the ratio of urban residents’ average actual travel time for oneoutgoing to their travel time under free flowing. From the perspective of traffictravelers, the index express the time costs imposed on travelers due to trafficcongestion in a simple and understandable way. This report objectively reflects, inmultiple dimensions, the traffic congestions in cities and the solution for relievingcongestions in an as much accurate, detailed and precise way as possible, whichprovides valuable theoretical reference for government decision making.•For more information about the data of urban congestion in your city, please visit：http://report.amap.com/•Thanks for your attention, please wait for more research publication coming soonThe contents in this report, including but not limited to text, data, picturesand logos, are protected by the laws and regulations on intellectual propertyrights, such as copyright law, patent law and trademark law, as well as therelevant international treaties. This report is copyrighted by “AutoNavi Traffic Data”of AutoNavi Software Co. No institution or individual may reproduce, copy anddistribute this report for business purpose in any form without the prior writtenpermission of AutoNavi. In case any contents in this report are citied for non-business purpose, "AutoNavi Traffic Big-data" should be properly presented asthe source of such content, and reference, abridgement and modification contraryto the original intent of the report is strictly prohibited. The report is written inChinese, and its English version is translated from the Chinese version. In case ofany discrepancy between the two versions, the Chinese version shall prevail.Cities100 cities* Select urban planning central areas or built-up areas as an evaluation range of overall urban road network* Select major cities with large enough data samples for congestion ranking and level computing* AutoNavi traffic big-data can support 364 Chinese cities in terms of traffic index analysis and calculation* No public transportation data was included for traffic flow calculation in report SelectData* Higher Index means higher level of congestion levelSee Appendix A for detailsAll day：06:00~22:00 Morning Peak: 07:00~09:00Evening Peak: 17:00~19:00* If no specified, the statistical time periods for this report was from Apr.1st to Jun. 30th 2018TimeCongestion delay index =Peak travel timeFree-flow (non-congestion) travel time364 cities+ national wide highwayWhole day：06:00~22:00 Morning peak：07:00~09:00 Evening peak：17:00~19:00AutoNavi’s massive traffic data is composed of traffic vehicle data and 700 million + AutoNavi users’ dataReport Description4Cooperate organization JointLaboratoryforFutureTransportandUrban Computing“Traffic Analysis Reports for Major Cities in China” is proposed by AutoNavi, and it is based on AutoNavi traffic big-data publishing platform, data open platform, Ali cloud MaxCompute and related data mining technology support . The report describes the urban congestion level, presents the congestion change rules, predicts the future development trend, and focuses on the congestion causes and countermeasures. This first quarterly report is jointly published by “Joint Laboratory for Future Transport and Urban Computing”, Transport Planning and Research Institute of the Ministry of Transport, Tsinghua-Daimler Joint Research Center for Sustainable Transportation, Ali Cloud and other organizations. AutoNavi is willing to open our data to governments, enterprises or education institutions, in order to build a traffic community together. Summary5Urban Congestion Portrait2018 Q2Traffic Analysis Report6Congestion Delay Index in Peak Hours1.0-1.51.5-1.81.8-2.5No Data AvailableCongestion IncreasedCongestion Leveled offCongestion ReducedNo Data Available▋ Congestion Delay Index — The index leveled off or reduced for 62% of all recorded cities compared to 2017 Q2 2018 Q2 Congestion Heatmap in peak hours of Chinese citiesCongestion changes between 2018 Q2 and 2018 Q2For all recorded 361 cities from AutoNavi big data analysis platform, during peak hours, 15% of cities was congested, 59% of cities had slow driving speed, and only 26% of cities waswithout congestion. Compared to 2017 Q2, in 2018 Q2, 32% of cities’ congestion level were reduced, 30% of cites’ congestion level kept still and 38% of cities had their congestionincreased. Among all cities, the congestion of southern Shandong province and the coastal cities of Guangdong increased comparably more, but cit...