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공공누리This item is licensed Korea Open Government License

dc.contributor.author
DAQIANG ZHANG
dc.contributor.author
SHENGJIE ZHAO
dc.contributor.author
JIAFU WAN
dc.contributor.author
KE FAN
dc.contributor.author
ZHIBIN JIANG
dc.contributor.author
ZONGJIAN HE
dc.contributor.author
박상오
dc.date.accessioned
2019-08-28T07:41:51Z
dc.date.available
2019-08-28T07:41:51Z
dc.date.issued
2016-03-18
dc.identifier.issn
1539-9087
dc.identifier.uri
https://repository.kisti.re.kr/handle/10580/14502
dc.identifier.uri
http://www.ndsl.kr/ndsl/search/detail/article/articleSearchResultDetail.do?cn=NART78504432
dc.description.abstract
With the urban development and enlargement, various regions such as residential zones and administrative districts now appear as parts of cities. People exhibit different mobility patterns in each region, which is closely relevant to region-wide functions. In this article, we propose a scheme to discover region-wide functions using large-scale Shanghai taxicab trajectories that capture enormous traces for more than 13,000 taxicabs over a period of about 3 years. We investigate these taxicab trajectories and conduct an extensive preliminary study. Then, we divide the city into disjointed regions using Voronoi decomposition. By incorporating people’s pick-up and drop-off information, we refine the Voronoi partitioning results to identify region-wide functional areas. Finally, we study people’s movement frequency on weekdays and weekends for every kind of urban functional regions. We also look into human mobility within or across the identified urban functional regions. Experimental results show that human movement is bounded with the function of urban regions, and more than 90% of people visit neighboring (less than 20km travel distance) functional regions with high probability
dc.language
eng
dc.relation.ispartofseries
ACM Transactions on Embedded Computing Systems
dc.title
Identifying Region-Wide Functions Using Urban Taxicab Trajectories
dc.citation.number
2
dc.citation.startPage
36(1-19)
dc.citation.volume
15
dc.subject.keyword
Region-wide functions
dc.subject.keyword
taxicab trajectories
dc.subject.keyword
urban computing
dc.subject.keyword
social networks
dc.subject.keyword
vehicular networks
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7. KISTI 연구성과 > 학술지 발표논문
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