Detecting and understanding urban changes through decomposing the numbers of visitors’ arrivals using human mobility data-Reference-Cited by-同舟云学术

Detecting and understanding urban changes through decomposing the numbers of visitors’ arrivals using human mobility data

Published:2019-01-14 Issue:1 Volume:6 Page:
ISSN:2196-1115
Container-title:Journal of Big Data
language:en
Short-container-title:J Big Data

Author:

Maeda Takashi Nicholas,Shiode Narushige,Zhong Chen,Mori Junichiro,Sakimoto Tetsuo

Publisher

Springer Science and Business Media LLC

Subject

Information Systems and Management,Computer Networks and Communications,Hardware and Architecture,Information Systems

Link

http://link.springer.com/article/10.1186/s40537-019-0168-5/fulltext.html

Reference39 articles.

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3. Zheng Y, Capra L, Wolfson O, Yang H. Urban computing: concepts, methodologies, and applications. ACM Trans Intell Syst Technol. 2014;5(3):38–13855.

4. World Bank. Big data in action for development. Washington, DC: World Bank; 2014.

5. United Nations Global Pulse. Big data for development: challenges and opportunities. New York: UN Global Pulse; 2012.

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