Measuring Enterprise’s Offline Resumption with Mobile Device Positioning Data
Nie Lei1,Fu Juan2,Yi Chengqi2,Yang Daoling2()
1Department of Information Management, Peking University, Beijing 100871, China 2Big Data Development Department, State Information Center, Beijing 100045, China
[Objective] This paper quantifies the offline resumption level after public emergencies, aiming to provide data support for making and implementing policies.[Methods] First, we used manual and automated POI fence delineation strategies to obtain the number of mobile devices in 931 areas. Then, we measured the offline resumption levels based on the number of mobile devices within each company’s physical settings. Finally, we evaluated the measurements with facts and related data.[Results] We found that for days immediately following the Spring Festival 2020, the average level of offline resumption in the sampled companies was about 30% of that of the same period in 2019. At the end of February 2020, about half of the employees from the sampled companies returned to work offline.[Limitations] The sample size needs to be expanded.[Conclusions] The proposed method could dynamically monitoring offline work resumption after public emergencies.
( Feng Lanfang, Zhou Huiling, Lu Xunwen. Research on the Impact of Comprehensive Occupational Rehabilitation Services on the Reinstatement of Work-related Sanitation Workers[J]. Chinese Journal of Rehabilitation, 2019,34(2):105-108.)
( Shu Tian, Bai Zhongfei, Yu Dan, et al. Characteristics and Predictive Factors of Resumption of Work-related Injuries in Shanghai[J]. Chinese Journal of Rehabilitation Medicine, 2018,33(2):206-210, 214.)
( Zhou Huiling, Huang Qiong, Ma Keke, et al. The Impact of Field Work Analysis and Evaluation on the Rate of Resumption of Vocational Rehabilitation Workers[J]. Chinese Journal of Rehabilitation Medicine, 2017,32(11):1261-1264.)
( Liu Wuzhong, Wang Zubing, Zhang Xuetao, et al. Evaluation on Key Risk Points for Prevention of COVID-2019 by Employers During Resumption of Work and Production[J]. Occupational Health and Emergency Rescue, 2020,38(2):138-141.)
( Hu Yueqiu, Wang Jun, Dong Zehua. Analysis of the Decision to Resume Work During the Prevention and Control of COVID-19 Epidemic:Based on Behavioral Economics[J]. Statistics & Decision, 2020(5):157-160.)
( Li Qian, Tang Biao, Wu Jianhong, et al. Mathematical Model Reveals the Influence of Execution and Adherence of Mitigation Strategies on the Later Period of COVID-19 and Resumption of Work[J]. Journal of Shaanxi Normal University (Natural Science Edition), 2020,48(3):1-6.)
( Wang Xia, Tang Sanyi, Chen Yong, et al. When will be the Resumption of Work in Wuhan and Its Surrounding Areas During COVID-19 Epidemic? A Data-driven Network Modeling Analysis [J]. SCIENTIA SINICA Mathematica, 2020,50.DOI: 10.1360/SSM-2020-0037.)
[8]
Shen L, Stopher P R. Review of GPS Travel Survey and GPS Data-Processing Methods[J]. Transport Reviews, 2014,34(3):316-334.
[9]
周超然. 基于大规模GPS轨迹数据的活动链信息分析方法研究[D]. 长春:吉林大学, 2017.
[9]
( Zhou Chaoran. Research on Methods of Activity-chain Information Analysis Based on Large Scale GPS Tracking Data[D]. Changchun: Jilin University, 2017.)
[10]
Zheng Y, Chen Y, Li Q, et al. Understanding Transportation Modes Based on GPS Data for Web Applications[J]. ACM Transactions on the Web, 2010, 4(1): Article No. 1.
[11]
Bohte W, Maat K. Deriving and Validating Trip Purposes and Travel Modes for Multi-day GPS-based Travel Surveys: A Large-scale Application in the Netherlands[J]. Transportation Research Part C: Emerging Technologies, 2009,17(3):285-297.
( Li Hao, Wang Xuzhi, Wan Wanggen. Research on Temporal and Spatial Characteristics of Residents’ Travel Based on Location Data-A Case of Shanghai[J]. Electronic Measurement Technology, 2019,42(19):25-30.)
[13]
杨彬彬. 基于手机信令数据的城市轨道交通客流特征研究[D]. 南京:东南大学, 2015.
[13]
( Yang Binbin. Research of Urban Rail Transit Passenger Flow Characteristics Based on Phone Signaling Data[D]. Nanjing: Southeast University, 2015.)
[14]
Yuan J, Zheng Y, Xie X. Discovering Regions of Different Functions in a City Using Human Mobility and POIs[C] //Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 2012: 186-194.
[15]
Pan G, Qi G, Wu Z, et al. Land-Use Classification Using Taxi GPS Traces[J]. IEEE Transactions on Intelligent Transportation Systems, 2013,14(1):113-123.
( Shen Yue, Chai Yanwei. Daily Activity Space of Suburban Mega-community Residents in Beijing Based on GPS Data[J]. Acta Geographica Sinica, 2013,68(4):506-516.)
( Wang Xianwen, Wang Hongyin, Li Qingchun. Location Based Big Data Analysis of the Short-term Population Flow of Beijing, Tianjin and Hebei Urban Agglomeration[J]. Journal of Dalian University of Technology (Social Sciences) , 2017,38(2):105-113.)
( Wu Qunyong, Qiu Yujiao. Effectiveness Analysis of Typhoon Disaster Reflected by Microblog Data Location Information[J]. Journal of Geomatics Science and Technology, 2019,36(4):406-411.)
( Shi Xinying. Rapid Clustering of Mobile Phone Signaling Data for Disaster Emergency and Calculation Method of Disaster Population[D]. Nanchang: East China University of Technology, 2019.)
( Ding Liang, Niu Xinyi, Song Xiaodong. Measuring the Employment Center System in Shanghai Central City: A Study Using Mobile Phone Signaling Data[J]. Acta Geographica Sinica, 2016,71(3):484-499.)
( Wang De, Zhu Chasong, Xie Dongcan. Research on Intra-city Employment Mobility in Shanghai:Based on Cell Phone Data[J]. Chinese Journal of Population Science, 2016,36(1):80-89.)
( Zhang Tianran. Job-Housing Spatial Distribution Analysis in Shanghai Metropolitan Area Based on Cellular Signaling Data[J]. Urban Transport of China, 2016,14(1):15-23.)
( Li Pengfei. Detecting the Spatial Characteristics of Urban Employment Using Mobile Phone Signaling Data:A Case Study of Shenyang City[J]. Geomatics World, 2019,26(1):25-30.)
( Jin An, Cheng Chengqi, Song Shuhua, et al. Regional Query of Area Data Based on Geohash[J]. Geography and Geo-Information Science, 2013,29(5):31-35.)
( General Office of Shanghai Municipal People’s Government. Notice of Shanghai Municipal People’s Government on Delaying the Resumption of Business and the Opening of Schools in this Municipality[EB/OL]. ( 2020- 01- 17) [2020-03-06] . http://www.shanghai.gov.cn/nw2/nw2314/nw2315/nw43978/u21aw1423601.html.)
( General Office of The People’s Government of Zhejiang Provincial. Notice of General Office of Zhejiang Provincial People’s Government on Delaying the Resumption of Business and the Opening of Schools in this Municipality[EB/OL]. ( 2020- 01- 27)[2020-03-06]. http://www.zj.gov.cn/art/2020/1/27/art_1554467_41858317.html.)
( The People’s Government of Beijing Municipality. Notice of the Beijing Municipal People’s Government on Flexible Arrangements for Enterprises in This Municipality During the Prevention and Control of Pneumonia Epidemic Infected by New Coronavirus[EB/OL]. ( 2020- 01- 31)[2020-03-06]. http://www.beijing.gov.cn/zhengce/zhengcefagui/202001/t20200131_1622070.html.)
( Ma Yushu. 28 companies in Zibo were ordered to suspend work due to illegal resumption of work! Complaint reporting method is here[EB/OL]. ( 2020-02-05) [2020-03-06]. https://baijiahao.baidu.com/s?id=1657669901646167084&wfr=spider&for=pc.)
