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THE METHOD INNOVATION AND GEOGRAPHICAL APPLICATIONS OF MOBILE POSITIONING DATA: A REVIEW OF RESEARCHES FROM REIN AHAS |
CHEN Xiao-xue, FENG Jian |
College of Urban and Environmental Sciences, Peking University, Beijing 100871, China |
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Abstract This paper makes a relatively comprehensive review of the mobile positioning data-based method innovation and geographical applications of Rein Ahas, a professor of human geography at Tartu University in Estonia. With the rapid development of information and communication technology as well as the largescale usage of mobile phones, mobile positioning data has shown obvious advantages over the conventional data sources like travel diaries, questionnaires, accommodation statistics and census. It has been proved that mobile positioning data can be collected for a much bigger sample of people, a longer period of time and a larger study area, so as to break through the limited spatiotemporal framework. In addition, mobile positioning data can be massive, objective, real-time, accurate and electronically coded, which helps facilitate researchers and urban planners to discover the patterns and laws of human space-time behavior in the daily life. Rein Ahas is one of the first scholars in the world to use mobile positioning data to carry out researches on human space-time behavior. He's also the leader in this field. His researches are experimental and pioneering, showing the valuable exploration made by the international academy in the early stage of understanding and using mobile positioning data. Rein Ahas formally put forward the Social Positioning Method (SPM) in 2005, which provides a new research paradigm for human space- time behavior. Using SPM as the main method, using passive mobile positioning data as the main data source and using geographic visualization as the main analysis technology, Rein Ahas kept participating in the diversified fields of tourism, commuting, transportation, ethnic segregation and smart city.
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Received: 18 November 2020
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