A global analysis of cities’ geosocial temporal signatures for points of interest hours of operation

Sparks, Kevin; Thakur, Gautam; Pasarkar, Amol; Urban, Marie

doi:10.1080/13658816.2019.1615069

Title: A global analysis of cities’ geosocial temporal signatures for points of interest hours of operation

Journal Article · Tue Jun 04 00:00:00 EDT 2019 · International Journal of Geographical Information Science

DOI:https://doi.org/10.1080/13658816.2019.1615069· OSTI ID:1546559

Sparks, Kevin ^[1];

^[1]; Pasarkar, Amol ^[2];

^[1]

Oak Ridge National Laboratory, Oak Ridge, TN, USA
Department of Computer Science, Columbia University, New York, NY, USA

The temporal nature of humans interaction with Points of Interest (POIs) in cities can differ depending on place type and regional location. Times when many people are likely to visit restaurants (place type) in Italy, may differ from times when many people are likely to visit restaurants in Lebanon (i.e. regional differences). Geosocial data are a powerful resource to model these temporal differences in cities, as traditional methods used to study cross-cultural differences do not scale to a global level. As cities continue to grow in population and economic development, research identifying the social and geophysical (e.g., climate) factors that influence city function remains important and incomplete. Here, we take a quantitative approach, applying dynamic time warping and hierarchical clustering on temporal signatures to model geosocial temporal patterns for Retail and Restaurant Facebook POIs hours of operation for more than 100 cities in 90 countries around the world. Results show cities’ temporal patterns cluster to reflect the cultural region they represent. Furthermore, temporal patterns are influenced by a mix of social and geophysical factors. Trends in the data imply social factors influence unique drops in temporal signatures, and geophysical factors influence when daily temporal patterns start and finish.

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Research Organization:: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 1546559

Journal Information:: International Journal of Geographical Information Science, Vol. 34, Issue 4; ISSN 1365-8816

Publisher:: Informa UK LimitedCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 12 works

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References (22)

Understanding individual human mobility patterns González, Marta C.; Hidalgo, César A.; Barabási, Albert-László Nature, Vol. 453, Issue 7196 https://doi.org/10.1038/nature06958	journal	June 2008
Automated identification and characterization of parcels with OpenStreetMap and points of interest Liu, Xingjian; Long, Ying Environment and Planning B: Planning and Design, Vol. 43, Issue 2 https://doi.org/10.1177/0265813515604767	journal	September 2015
How where is when? On the regional variability and resolution of geosocial temporal signatures for points of interest McKenzie, Grant; Janowicz, Krzysztof; Gao, Song Computers, Environment and Urban Systems, Vol. 54 https://doi.org/10.1016/j.compenvurbsys.2015.10.002	journal	November 2015
A quantitative analysis of global gazetteers: Patterns of coverage for common feature types Acheson, Elise; De Sabbata, Stefano; Purves, Ross S. Computers, Environment and Urban Systems, Vol. 64 https://doi.org/10.1016/j.compenvurbsys.2017.03.007	journal	July 2017
Entrainment of the Human Circadian Clock to the Natural Light-Dark Cycle Wright, Kenneth P.; McHill, Andrew W.; Birks, Brian R. Current Biology, Vol. 23, Issue 16 https://doi.org/10.1016/j.cub.2013.06.039	journal	August 2013
Silhouettes: A graphical aid to the interpretation and validation of cluster analysis Rousseeuw, Peter J. Journal of Computational and Applied Mathematics, Vol. 20 https://doi.org/10.1016/0377-0427(87)90125-7	journal	November 1987
Seasonal and geographical impact on human resting periods Monsivais, Daniel; Bhattacharya, Kunal; Ghosh, Asim Scientific Reports, Vol. 7, Issue 1 https://doi.org/10.1038/s41598-017-11125-z	journal	September 2017
An Advanced Systematic Literature Review on Spatiotemporal Analyses of Twitter Data: Spatiotemporal Analyses of Twitter Data - Systematic Literature Review Steiger, Enrico; de Albuquerque, João Porto; Zipf, Alexander Transactions in GIS, Vol. 19, Issue 6 https://doi.org/10.1111/tgis.12132	journal	March 2015
Delineating Geographical Regions with Networks of Human Interactions in an Extensive Set of Countries Sobolevsky, Stanislav; Szell, Michael; Campari, Riccardo PLoS ONE, Vol. 8, Issue 12 https://doi.org/10.1371/journal.pone.0081707	journal	December 2013
The Origins of Scaling in Cities Bettencourt, L. M. A. Science, Vol. 340, Issue 6139 https://doi.org/10.1126/science.1235823	journal	June 2013
Extracting and analyzing semantic relatedness between cities using news articles Hu, Yingjie; Ye, Xinyue; Shaw, Shih-Lung International Journal of Geographical Information Science, Vol. 31, Issue 12 https://doi.org/10.1080/13658816.2017.1367797	journal	August 2017
Mining point-of-interest data from social networks for urban land use classification and disaggregation Jiang, Shan; Alves, Ana; Rodrigues, Filipe Computers, Environment and Urban Systems, Vol. 53 https://doi.org/10.1016/j.compenvurbsys.2014.12.001	journal	September 2015
Correction: A Tale of Many Cities: Universal Patterns in Human Urban Mobility Noulas, Anastasios; Scellato, Salvatore; Lambiotte, Renaud PLoS ONE, Vol. 7, Issue 9 https://doi.org/10.1371/annotation/ca85bf7a-7922-47d5-8bfb-bcdf25af8c72	journal	September 2012
Twitter as an indicator for whereabouts of people? Correlating Twitter with UK census data Steiger, Enrico; Westerholt, René; Resch, Bernd Computers, Environment and Urban Systems, Vol. 54 https://doi.org/10.1016/j.compenvurbsys.2015.09.007	journal	November 2015
Cities through the Prism of People’s Spending Behavior Sobolevsky, Stanislav; Sitko, Izabela; Tachet des Combes, Remi PLOS ONE, Vol. 11, Issue 2 https://doi.org/10.1371/journal.pone.0146291	journal	February 2016
Who Tweets? Deriving the Demographic Characteristics of Age, Occupation and Social Class from Twitter User Meta-Data Sloan, Luke; Morgan, Jeffrey; Burnap, Pete PLOS ONE, Vol. 10, Issue 3 https://doi.org/10.1371/journal.pone.0115545	journal	March 2015
The New Science of Cities Batty, Michael The MIT Press https://doi.org/10.7551/mitpress/9399.001.0001	book	January 2013
Geo-located Twitter as proxy for global mobility patterns Hawelka, Bartosz; Sitko, Izabela; Beinat, Euro Cartography and Geographic Information Science, Vol. 41, Issue 3 https://doi.org/10.1080/15230406.2014.890072	journal	February 2014
The human circadian clock entrains to sun time Roenneberg, Till; Kumar, C. Jairaj; Merrow, Martha Current Biology, Vol. 17, Issue 2 https://doi.org/10.1016/j.cub.2006.12.011	journal	January 2007
Modelling the scaling properties of human mobility Song, Chaoming; Koren, Tal; Wang, Pu Nature Physics, Vol. 6, Issue 10 https://doi.org/10.1038/nphys1760	journal	September 2010
Does Urban Mobility Have a Daily Routine? Learning from the Aggregate Data of Mobile Networks Sevtsuk, Andres; Ratti, Carlo Journal of Urban Technology, Vol. 17, Issue 1 https://doi.org/10.1080/10630731003597322	journal	April 2010
Identifying residential neighbourhood types from settlement points in a machine learning approach Jochem, Warren C.; Bird, Tomas J.; Tatem, Andrew J. Computers, Environment and Urban Systems, Vol. 69 https://doi.org/10.1016/j.compenvurbsys.2018.01.004	journal	May 2018

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