Big data for intrametropolitan human movement studies

Zhou, J., Wang, M. and Long, Y. (2017) Big data for intrametropolitan human movement studies. International Review for Spatial Planning and Sustainable Development, 5(3), pp. 100-115. (doi: 10.14246/irspsd.5.3_100)

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Publisher's URL: https://doi.org/10.14246/irspsd.5.3_100

Abstract

Unlike the data from traditional sources, there have not been standard ways to validate the quality and reliability of information derived from big data. This article argues that the theory of urban formation can be used to do the validation. In addition, the information derived from big data can be used to verify and even extend existing theories or hypotheses of urban formation. It proposes a general framework regarding how the theory of urban formation can be employed to validate information derived from smart card data and how the validated information can supplement other data to reveal spatial patterns of economic agglomeration or human settlements. Through a case study of Beijing, it demonstrates the usefulness of the framework. Additionally, it utilizes smart card data to delineate characteristics of subcenters defined by bus commuters of Beijing.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Wang, Dr Mingshu
Authors: Zhou, J., Wang, M., and Long, Y.
College/School:College of Science and Engineering > School of Geographical and Earth Sciences
Journal Name:International Review for Spatial Planning and Sustainable Development
Publisher:SPSD Press
ISSN:2187-3666
ISSN (Online):2187-3666
Published Online:15 July 2017

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