Coupling mobile phone and social media data: a new approach to understanding urban functions and diurnal patterns
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Coupling mobile phone and social media data: a new approach to understanding urban functions and diurnal patterns
Authors
Keywords
-
Journal
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
Volume 31, Issue 12, Pages 2331-2358
Publisher
Informa UK Limited
Online
2017-08-01
DOI
10.1080/13658816.2017.1356464
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Impacts of weather on public transport ridership: Results from mining data from different sources
- (2017) Meng Zhou et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Measurements of POI-based mixed use and their relationships with neighbourhood vibrancy
- (2016) Yang Yue et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- Activity patterns, socioeconomic status and urban spatial structure: what can social media data tell us?
- (2016) Qunying Huang et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- Optimizing the locations of electric taxi charging stations: A spatial–temporal demand coverage approach
- (2016) Wei Tu et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- The promises of big data and small data for travel behavior (aka human mobility) analysis
- (2016) Cynthia Chen et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Unknown
- (2015) ACM COMPUTING SURVEYS
- A temporal-contextual analysis of urban dynamics using location-based data
- (2015) A. Yair Grinberger et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- A network Kernel Density Estimation for linear features in space–time analysis of big trace data
- (2015) Luliang Tang et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- Everyday space–time geographies: using mobile phone-based sensor data to monitor urban activity in Harbin, Paris, and Tallinn
- (2015) R. Ahas et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- Crowdsourcing urban form and function
- (2015) Andrew Crooks et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- Discovering urban activity patterns in cell phone data
- (2015) Peter Widhalm et al. TRANSPORTATION
- Comparing and modelling land use organization in cities
- (2015) Maxime Lenormand et al. Royal Society Open Science
- Spectral clustering for sensing urban land use using Twitter activity
- (2014) Vanessa Frias-Martinez et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Detecting the dynamics of urban structure through spatial network analysis
- (2014) Chen Zhong et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- A new insight into land use classification based on aggregated mobile phone data
- (2014) Tao Pei et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- Inferring Urban Land Use Using Large-Scale Social Media Check-in Data
- (2014) Xianyuan Zhan et al. NETWORKS & SPATIAL ECONOMICS
- Intra-Urban Human Mobility and Activity Transition: Evidence from Social Media Check-In Data
- (2014) Lun Wu et al. PLoS One
- From mobile phone data to the spatial structure of cities
- (2014) Thomas Louail et al. Scientific Reports
- Unravelling daily human mobility motifs
- (2013) C. M. Schneider et al. Journal of the Royal Society Interface
- Clustering daily patterns of human activities in the city
- (2012) Shan Jiang et al. DATA MINING AND KNOWLEDGE DISCOVERY
- Smart cities of the future
- (2012) M. Batty et al. European Physical Journal-Special Topics
- Automated urban land-use classification with remote sensing
- (2012) Shougeng Hu et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Urban land uses and traffic ‘source-sink areas’: Evidence from GPS-enabled taxi data in Shanghai
- (2012) Yu Liu et al. LANDSCAPE AND URBAN PLANNING
- Understanding individual mobility patterns from urban sensing data: A mobile phone trace example
- (2012) Francesco Calabrese et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Limits of Predictability in Human Mobility
- (2010) C. Song et al. SCIENCE
- Understanding individual human mobility patterns
- (2008) Marta C. González et al. NATURE
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search