| Mobile phone, an invention in the 1970s, has become the most widely adopted Information and Communication Technology (ICT) over its forty years history. The advantages of mobile positioning data or call detailed records (CDRs) over Global Positioning Systems (GPS) and traditional techniques such as census or travel surveys make it a popular source in the GIScience, human mobility, and many other studies. However, limitations are also raised by researchers while using mobile positioning data. An important one of them is the relatively low spatio-temporal accuracy. This work thus proposed an approach to fix this limitation, that is, I employed land use categories and Point of Interests (POIs) to improve the spatial accuracy of mobile positionings based on human mobility pattern analysis. |
