Traffic Analysis Report 2018Q1.pdf

2017.112018Q1Of Major Cities in ChinaThis 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 in an as much accurate andprecise.•For more information about the data of urban congestion about the city you are living, please visit：http://report.amap.com/•Thanks for your attention, please focus on later research publicationThe statement The contents including text, data, pictures and logos in this report areprotected by the laws and regulations on intellectual property rights, such ascopyright law, patent law and trademark law, as well as the relevant internationaltreaties. This report is copyrighted by “AutoNavi Traffic Data” of AutoNaviSoftware Co. No institution or individual may reproduce, copy and distribute thisreport in any form without the written permission of AutoNavi on the purpose ofbusiness. On referencing or publishing, the source of "AutoNavi Traffic Big-data"should be referred, and no reference, abridgement and modification contrary tothe original intent of the report are allowed. The report is written in Chinese, andits English version is translated from the Chinese version. In case of anydiscrepancy between the two versions, the Chinese version shall prevail.。“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 supports. The reports describes the urban congestion states, 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. The research results of the AutoNavi “Joint Laboratory for Future Transport and Urban Computing” are firstly published in thisquarterly report.SummaryCooperate organization JointLaboratoryforFutureTransport and Urban ComputingAutoNavi’s massive traffic data is combined with traffic vehicle data and 700 million + AutoNavi users’ dataCities364 cities+ national wide highway100 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 Chiense cities in terms of traffic index analysis and calculationSelectData* 指数越高表示出行延时占出行时间的比例越大，也就越拥堵Congestion delay index =Peak travel timeFree-flow (non-congestion) travel timeSee Appendix A for detailsWhole day：06:00~22:00 Morning peak：07:00~09:00 Evening peak：17:00~19:00* If no specified, the statistical time periods of this report are Jan.-Mar. 2018TimeReport Description5Urban Congestion PortraitTravel Characteristics in the Spring FestivalCooperative Research Results6Urban Congestion Portrait0172018Q1 Heat Map of Congestion in Peak hours for Chinese Cities. ▋ 65 of 361 Cities Across the Country Are Threatened by Congestion in Peak Hours, 2018 Q1.Under the records of AutoNavi Traffic Data Platform for 361 cities, the degree of congestion differs between cities and cities. The congestion delay index of 65 cities is higher than 1.8 in peak hours, suffering from severe congestion threat; there are 231 cities under slow driving speed, with congestion delay index from 1.5 to 1.8; and 65 cities suffer little congestion in an overall smooth driving speed, with the congestion delay index of 1.0 - 1.5 . From the location, there the many areas with the degree of congestion being relative high in the first quarter of 2018, such as Chengdu, Chongqing and their surrounding areas, Hubei, Guizhou, western of Hunan, eastern of Sichuan, and some cities in the Northeast China. However, the Yangtze River Delta and the western cities are relatively low in congestion.Congestion Delay Index of Peak Hours1.0-1.51.5-1.81.8-2.5No Data Available8Location of Top 10 Congested cities, 2018Q1Top 10 Congeste...