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Everyday space-time geographies : using mobile phone-based sensor data to monitor urban activity in Harbin, Paris, and Tallinn

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Abstract
This paper proposes a methodology for using mobile telephone-based sensor data for detecting spatial and temporal differences in everyday activities in cities. Mobile telephone-based sensor data has great applicability in developing urban monitoring tools and smart city solutions. The paper outlines methods for delineating indicator points of temporal events referenced as midnight', morning start', midday', and duration of day', which represent the mobile telephone usage of residents (what we call social time) rather than solar or standard time. Density maps by time quartiles were also utilized to test the versatility of this methodology and to analyze the spatial differences in cities. The methodology was tested with data from cities of Harbin (China), Paris (France), and Tallinn (Estonia). Results show that the developed methods have potential for measuring the distribution of temporal activities in cities and monitoring urban changes with georeferenced mobile phone data.
Keywords
POSITIONING DATA, TRAVEL BEHAVIOR, SMART CITIES, SOCIAL TIME, VARIABILITY, ESTONIA, USERS, MODEL, LIFE, time use, smart city, social time, urban, mobile positioning, geography, spatial mobility

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Please use this url to cite or link to this publication:

Chicago
Ahas, Rein, A Aasa, Y Yuan, M Raubal, Z Smoreda, Y Liu, C Ziemlicki, M Tiru, and M Zook. 2015. “Everyday Space-time Geographies : Using Mobile Phone-based Sensor Data to Monitor Urban Activity in Harbin, Paris, and Tallinn.” International Journal of Geographical Information Science 29 (11): 2017–2039.
APA
Ahas, R., Aasa, A., Yuan, Y., Raubal, M., Smoreda, Z., Liu, Y., Ziemlicki, C., et al. (2015). Everyday space-time geographies : using mobile phone-based sensor data to monitor urban activity in Harbin, Paris, and Tallinn. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 29(11), 2017–2039. Presented at the Mobile Tartu Conference.
Vancouver
1.
Ahas R, Aasa A, Yuan Y, Raubal M, Smoreda Z, Liu Y, et al. Everyday space-time geographies : using mobile phone-based sensor data to monitor urban activity in Harbin, Paris, and Tallinn. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE. 2015;29(11):2017–39.
MLA
Ahas, Rein et al. “Everyday Space-time Geographies : Using Mobile Phone-based Sensor Data to Monitor Urban Activity in Harbin, Paris, and Tallinn.” INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE 29.11 (2015): 2017–2039. Print.
@article{8522748,
  abstract     = {This paper proposes a methodology for using mobile telephone-based sensor data for detecting spatial and temporal differences in everyday activities in cities. Mobile telephone-based sensor data has great applicability in developing urban monitoring tools and smart city solutions. The paper outlines methods for delineating indicator points of temporal events referenced as midnight', morning start', midday', and duration of day', which represent the mobile telephone usage of residents (what we call social time) rather than solar or standard time. Density maps by time quartiles were also utilized to test the versatility of this methodology and to analyze the spatial differences in cities. The methodology was tested with data from cities of Harbin (China), Paris (France), and Tallinn (Estonia). Results show that the developed methods have potential for measuring the distribution of temporal activities in cities and monitoring urban changes with georeferenced mobile phone data.},
  author       = {Ahas, Rein and Aasa, A and Yuan, Y and Raubal, M and Smoreda, Z and Liu, Y and Ziemlicki, C and Tiru, M and Zook, M},
  issn         = {1365-8816},
  journal      = {INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE},
  keywords     = {POSITIONING DATA,TRAVEL BEHAVIOR,SMART CITIES,SOCIAL TIME,VARIABILITY,ESTONIA,USERS,MODEL,LIFE,time use,smart city,social time,urban,mobile positioning,geography,spatial mobility},
  language     = {eng},
  location     = {Tartu, Estonia},
  number       = {11},
  pages        = {2017--2039},
  title        = {Everyday space-time geographies : using mobile phone-based sensor data to monitor urban activity in Harbin, Paris, and Tallinn},
  url          = {http://dx.doi.org/10.1080/13658816.2015.1063151},
  volume       = {29},
  year         = {2015},
}

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