Journal of Geo-information Science, Volume. 22, Issue 1, 100(2020)

Revealing the Behavioral Patterns of Different Socioeconomic Groups in Cities with Mobile Phone Data and House Price Data

Qingfeng GUAN1...1, Shuliang REN1,1, Yao YAO1,1,2,2,*, Xun LIANG1,1, Jianfeng ZHOU1,1, Zehao YUAN1,1, and Liangyang DAI11 |Show fewer author(s)
Author Affiliations
  • 1School of Geography and Information Engineering, China University of Geosciences, Wuhan 430078, China
  • 1中国地质大学(武汉)地理与信息工程学院,武汉 430078
  • 2Alibaba Group, Hangzhou 311121, China
  • 2阿里巴巴集团,杭州 311121
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    Figures & Tables(15)
    Study area of Shenzhen city of Guangdong Province
    Service area of mobile phone towers in Shenzhen in 2013
    Housing prices mapping of Shenzhen in 2017 with a 5 m resolution
    Framework of analyzing the behavioral patterns of people at different economic levels with mobile phone data and house price data
    Histogram of the ratio between the within-cell standard deviation and overall deviation of housing price at the level of cellphone tower service areas in Shenzhen
    Dividing the population of different economic levels based on housing prices in Shenzhen
    Spatial distribution of activity points of people at different economic levels in Shenzhen
    Boxplots of activity indicators for different economic levels in Shenzhen
    Density distribution of the moment of inertia of all Shenzhen phone users
    Spatial distribution of the moment of inertia of all Shenzhen phone users
    Moment of inertia of peoples in Shenzhen per economic levels
    Boxplots of travel indicators for people with different economic levels in Shenzhen
    Spatial Distribution of commuter velocity of people at different economic levels in Shenzhen
    • Table 1. Examples of mobile phone location records

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      Table 1. Examples of mobile phone location records

      用户id记录次数记录时刻记录位置记录时刻
      f5d4a*******02052220120323 00:01:32114.18** 22.64**20120323 01:28:39
      0bdf1*******91cb2420120322 23:30:13114.21** 22.60**20120323 00:30:15
      1db81*******adf32320120322 23:25:37114.21** 22.60**20120323 00:09:29
      4cdd3*******49a3920120323 12:53:30114.09** 22.73**20120323 02:27:50
      556df*******439c2220120322 23:23:27114.21** 22.60**20120323 00:26:04
      5790f*******c9701420120323 10:55:40114.35** 22.70**20120323 11:26:35
    • Table 2. Comparison of activity indicators for people with different economic levels in Shenzhen

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      Table 2. Comparison of activity indicators for people with different economic levels in Shenzhen

      经济水平居家时间工作时间生活娱乐时间活动点数量惯性矩活动熵出行时间出行距离职住距离出行速度
      1.0001.0000.9420.9870.6250.9820.9340.8310.6740.581
      中低0.9960.9940.9390.9860.6920.9820.9570.8630.7200.839
      0.9880.9860.9660.9990.7800.9990.9840.8980.8840.896
      中高0.9650.9550.9891.0000.7781.0001.0000.9240.9430.934
      0.9430.9451.0000.9991.0000.9980.9971.0001.0001.000
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    Qingfeng GUAN, Shuliang REN, Yao YAO, Xun LIANG, Jianfeng ZHOU, Zehao YUAN, Liangyang DAI. Revealing the Behavioral Patterns of Different Socioeconomic Groups in Cities with Mobile Phone Data and House Price Data[J]. Journal of Geo-information Science, 2020, 22(1): 100

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    Paper Information

    Received: Jul. 29, 2019

    Accepted: --

    Published Online: Sep. 16, 2020

    The Author Email: YAO Yao (yaoy@cug.edu.cn)

    DOI:10.12082/dqxxkx.2020.190406

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