NDLI: Recognizing Social Function of Urban Regions by Using Data of Public Bicycle Systems

Content Provider	IET Digital Library
Author	Xu, Haitao Ying, Jing
Abstract	Obtaining the classification of urban functions is an integral part of urban planning. Currently, public bicycle systems are booming in these years. It conveys human mobility and activity information, which can be closely related to the social function of an urban region. This paper discusses the potential use of public bicycle systems for recognizing the social function of urban regions by using one year's rent/return data of public bicycles. We found that rent/return dynamics, extracted from public bicycle systems, exhibited clear patterns corresponding to the urban function classes of these regions. With seven features designed to characterize the rent/return pattern, our method based on Smooth support vector machine (SSVM) is proposed to recognize social function classes of urban regions. We evaluate our method based on the large-scale real-world dataset collected from the public bicycle system of Hangzhou. The results show that our method can efficiently recognize different types of urban function areas. Classification results using the proposed SSVM achieved the best classification accuracy of 96.15%.
Starting Page	13
Ending Page	20
Page Count	8
ISSN	10224653
Volume Number	28
e-ISSN	20755597
Issue Number	Issue 1, Jan (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/cje/28/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/cje.2018.03.005
Journal	Chinese Journal of Electronics
Publisher Date	2019-01-01
Access Restriction	Open
Rights Holder	© Chinese Institute of Electronics
Subject Keyword	Activity Information Bicycles Classification Data Handling Technique Human Mobility Knowledge Engineering Technique Large-scale Real-world Dataset Pattern Classification Public Administration Public Bicycle System Smooth Support Vector Machine Social Function Classes SSVM Statistics Support Vector Machine Town And Country Planning Urban Function Areas Urban Function Classes Urban Planning Urban Region
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering

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