Discovering the Graph-Based Flow Patterns of Car Tourists Using License Plate Data: A Case Study in Shenzhen, China

doi:10.1155/2020/4795830

CORC > 成都山地灾害与环境研究所 > 中国科学院水利部成都山地灾害与环境研究所 > 数字山地与遥感应用中心

	Discovering the Graph-Based Flow Patterns of Car Tourists Using License Plate Data: A Case Study in Shenzhen, China
	He Bing 3; Kong Bo 2; Yin Ling 3; Wu Qin 1; Hu Jinxing 3; Huang Dian 4; Ma Zhanwu 3
刊名	JOURNAL OF ADVANCED TRANSPORTATION
	2020-08-06
卷号	2020 页码:4795830
关键词	Graph-Based Flow
ISSN号	0197-6729
DOI	10.1155/2020/4795830
产权排序	2
文献子类	Article
英文摘要	Identifying flow patterns from massive trajectories of car tourists is considered a promising way to improve the management of tourism traffic. Previous researches have mainly focused on tourist movements at the macro-scale, such as inbound, domestic, and urban tourism using flow maps. Compared with modeling the flow patterns of tourists at the macro-scale, modeling tourist flow at the microscale is more complicated. This paper takes Dapeng Island located in Shenzhen as the study area and uses the car recognition devices to collect traffic flow. Firstly, car tourists are separated from the mixed traffic flow after analyzing the spatial-temporal characteristics of tourists and residents. Next, daily graphs of tourist movements between road segments and tourist attractions are constructed. Finally, a frequent subgraph mining algorithm is used to extract the flow patterns of car tourists. The experimental results show that (1) car tourists have obvious preferences in the selection of trip time and tourist attractions; (2) the intercity tourists tend to take multidestination trips rather than a single destination trip in the same type of attractions; (3) car tourists are inclined to park their cars in an easy-to-access place, even if the attractions visited are changed. The main contribution of this paper is to present a new method for discovering the flow patterns of car tourists hidden in massive amounts of license plate data.
电子版国际标准刊号	2042-3195
资助项目	National Science Foundation of China[41701167] ; Basic Research Project of Shenzhen City[JCYJ20170307164104491] ; Basic Research Project of Shenzhen City[JCYJ20190812171419161]
WOS关键词	SPATIAL-PATTERNS ; MOVEMENT PATTERNS ; TRACKING DATA ; PERSPECTIVE ; TRAVEL
WOS研究方向	Engineering ; Transportation
语种	英语
出版者	WILEY-HINDAWI
WOS记录号	WOS:000563512700001
资助机构	National Science Foundation of China ; Basic Research Project of Shenzhen City
内容类型	期刊论文
源URL	[http://ir.imde.ac.cn/handle/131551/35465]
专题	成都山地灾害与环境研究所_数字山地与遥感应用中心
通讯作者	Kong Bo
作者单位	1.Chengdu Univ Informat Technol, Sch Comp Sci, Chengdu 610225, Peoples R China; 2.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China; 3.Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518055, Peoples R China; 4.Natl Supercomp Ctr Shenzhen, Shenzhen 518055, Peoples R China
推荐引用方式 GB/T 7714	He Bing,Kong Bo,Yin Ling,et al. Discovering the Graph-Based Flow Patterns of Car Tourists Using License Plate Data: A Case Study in Shenzhen, China[J]. JOURNAL OF ADVANCED TRANSPORTATION,2020,2020:4795830.
APA	He Bing.,Kong Bo.,Yin Ling.,Wu Qin.,Hu Jinxing.,...&Ma Zhanwu.(2020).Discovering the Graph-Based Flow Patterns of Car Tourists Using License Plate Data: A Case Study in Shenzhen, China.JOURNAL OF ADVANCED TRANSPORTATION,2020,4795830.
MLA	He Bing,et al."Discovering the Graph-Based Flow Patterns of Car Tourists Using License Plate Data: A Case Study in Shenzhen, China".JOURNAL OF ADVANCED TRANSPORTATION 2020(2020):4795830.