中国科学院深圳先进技术研究院机构知识库(SIAT OpenIR): Discovering the Graph-based Flow Patterns of Car Tourists Using License Plate Data: A Case Study in Shenzhen, China
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Discovering the Graph-based Flow Patterns of Car Tourists Using License Plate Data: A Case Study in Shenzhen, China
Bing He; Bo Kong; Ling Yin; Qin Wu; Jinxing Hu; Dian Huang; Zhanwu Ma
2020
Source PublicationJournal of Advanced Transportation
Subtype期刊论文
AbstractIdentifying flow patterns from massive trajectories of car tourists is considered a promising way to improve the management oftourism traffic. Previous researches have mainly focused on tourist movements at the macro-scale, such as inbound, domestic, andurban tourism using flow maps. Compared with modeling the flow patterns of tourists at the macro-scale, modeling tourist flow atthe microscale is more complicated. +is paper takes Dapeng Island located in Shenzhen as the study area and uses the carrecognition devices to collect traffic flow. Firstly, car tourists are separated from the mixed traffic flow after analyzing the spatialtemporal characteristics of tourists and residents. Next, daily graphs of tourist movements between road segments and touristattractions are constructed. Finally, a frequent subgraph mining algorithm is used to extract the flow patterns of car tourists. +eexperimental results show that (1) car tourists have obvious preferences in the selection of trip time and tourist attractions; (2) theintercity tourists tend to take multidestination trips rather than a single destination trip in the same type of attractions; (3) cartourists are inclined to park their cars in an easy-to-access place, even if the attractions visited are changed. +e main contributionof this paper is to present a new method for discovering the flow patterns of car tourists hidden in massive amounts of licenseplate data.
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Indexed BySCI
Language英语
EI Accession Number高性能
Document Type期刊论文
Identifierhttp://ir.siat.ac.cn/handle/172644/17854
Collection数字所
Recommended Citation
GB/T 7714
Bing He,Bo Kong,Ling Yin,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.
APA Bing He.,Bo Kong.,Ling Yin.,Qin Wu.,Jinxing Hu.,...&Zhanwu Ma.(2020).Discovering the Graph-based Flow Patterns of Car Tourists Using License Plate Data: A Case Study in Shenzhen, China.Journal of Advanced Transportation.
MLA Bing He,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).
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