PROGRESS IN GEOGRAPHY ›› 2015, Vol. 34 ›› Issue (4): 457-465.doi: 10.11820/dlkxjz.2015.04.007

• Special Column: Big Data and Smart City • Previous Articles     Next Articles

Smartphone-based individual indoor spatiotemporal behavior analysis

Qingquan LI1(), Baoding ZHOU1,2   

  1. 1. Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen 518060, Guangdong, China
    2. State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan 430079, China
  • Online:2015-04-10 Published:2015-04-10


In recent years, the smart city concept and development have attracted a great amount of interests worldwide. One of the bases of the functioning of smart city is the sensing and understanding of elements of cities. People are the dominant component of cities and therefore individual spatiotemporal behavior analysis is the key of such sensing and is important to the development of smart cities. Individual spatiotemporal behavior analysis has been hampered by data collection techniques, which seriously limit the development of theoretical research and application. One challenge of individual spatiotemporal behavior data acquisition is to collect indoor location information. With the development of smartphone and indoor positioning techniques, indoor location of individual private persons can be obtained by smartphones. Moreover, the built-in sensors of the smartphone can be used to detect individuals' behaviors. Therefore, smartphone is becoming the ideal terminal device for individual spatiotemporal behavior data collection. This article discusses the application of smartphone for individual spatiotemporal behavior analysis. It reviews the advances of indoor positioning technology and provides an example of individual spatiotemporal behavior analysis using smartphone, and also addresses the significance and existing problems of smartphone-based individual spatiotemporal behavior analysis. Based on the individual spatiotemporal behavior data collected by smartphones, we can analyze in real time the spatial distribution and behavior patterns of urban residents, which can provide the data for smart city planning, design, and development applications, such as smart transportation, smart security, and smart city management. Based on a large amount of individual spatiotemporal behavior data, we can analyze the space-time characteristics of urban functions, which provide the basis for the construction of smart cities.

Key words: smart city, smartphone, spatiotemporal behavior, indoor positioning