1,232
Views
2
CrossRef citations to date
0
Altmetric
Articles

Mining hourly population dynamics by activity type based on decomposition of sequential snapshot data

ORCID Icon, ORCID Icon, ORCID Icon &
Pages 1395-1416 | Received 01 Nov 2021, Accepted 02 Aug 2022, Published online: 16 Aug 2022

References

  • Bhaduri, Budhendra, Edward Bright, Phillip Coleman, and Marie L. Urban. 2007. “LandScan USA: A High-Resolution Geospatial and Temporal Modeling Approach for Population Distribution and Dynamics.” GeoJournal 69 (1): 103–117. doi:10.1007/s10708-007-9105-9.
  • Boardman, Joseph W., Fred A. Kruse, and Robert O. Green. 1995. “Mapping Target Signatures via Partial Unmixing of Aviris Data.” Paper presented at the summaries of the fifth annual JPL airborne Earth Science workshop, pasadena, January 23-26.
  • Cao, Jingjing, Li Zhuo, and Haiyan Tao. 2018. “An Endmember Initialization Scheme for Nonnegative Matrix Factorization and Its Application in Hyperspectral Unmixing.” ISPRS International Journal of Geo-Information 7 (5): 195. doi:10.3390/ijgi7050195.
  • Chen, Yiyong, Xiaoping Liu, Wenxiu Gao, Raymond Yu Wang, Yun Li, and Wei Tu. 2018. “Emerging Social Media Data on Measuring Urban Park Use.” Urban Forestry & Urban Greening 31: 130–141. doi:10.1016/j.ufug.2018.02.005.
  • Cheng, Zhifeng, Jianghao Wang, and Yong Ge. 2022. “Mapping Monthly Population Distribution and Variation at 1-km Resolution Across China.” International Journal of Geographical Information Science, 1166–1184. doi:10.1080/13658816.2020.1854767.
  • Çolak, Serdar, Lauren P. Alexander, Bernardo G. Alvim, Shomik R. Mehndiratta, and Marta C. González. 2015. “Analyzing Cell Phone Location Data for Urban Travel.” Transportation Research Record: Journal of the Transportation Research Board 2526 (1): 126–135. doi:10.3141/2526-14.
  • Deng, Chengbin, and Changshan Wu. 2013. “A Spatially Adaptive Spectral Mixture Analysis for Mapping Subpixel Urban Impervious Surface Distribution.” Remote Sensing of Environment 133: 62–70. doi:10.1016/j.rse.2013.02.005.
  • Diao, Mi, Yi Zhu, Joseph Ferreira, and Carlo Ratti. 2016. “Inferring Individual Daily Activities from Mobile Phone Traces: A Boston Example.” Environment and Planning B: Planning and Design 43 (5): 920–940. doi:10.1177/0265813515600896.
  • Eggert, Julian, and Edgar Körner. 2004. “Sparse Coding and NMF.” Paper presented at the IEEE International joint Conference on neural Networks (IEEE Cat. No.04CH37541), 25-29 July 2004.
  • Gong, Li, Xi Liu, Lun Wu, and Yu Liu. 2016. “Inferring Trip Purposes and Uncovering Travel Patterns from Taxi Trajectory Data.” Cartography and Geographic Information Science 43 (2): 103–114. doi:10.1080/15230406.2015.1014424.
  • Greger, Konstantin. 2015. “Spatio-Temporal Building Population Estimation for Highly Urbanized Areas Using GIS.” Transactions in GIS 19 (1): 129–150. doi:10.1111/tgis.12086.
  • Guo, Yubo, Li Zhuo, Haiyan Tao, Jingjing Cao, and Fang Wang. 2018. “Spatial-Spectral Preprocessing Based on Nonnegative Matrix Factorization to Unmix Hyperspectral Data.” Remote Sensing Technology and Application 33 (2): 216–226.
  • Hanaoka, Kazumasa. 2018. “New Insights on Relationships Between Street Crimes and Ambient Population: Use of Hourly Population Data Estimated from Mobile Phone Users’ Locations.” Environment and Planning B: Urban Analytics and City Science 45 (2): 295–311. doi:10.1177/0265813516672454.
  • Huang, Xiao, Cuizhen Wang, Zhenlong Li, and Huan Ning. 2021. “A 100 m Population Grid in the CONUS by Disaggregating Census Data with Open-Source Microsoft Building Footprints.” Big Earth Data 5 (1): 112–133. doi:10.1080/20964471.2020.1776200.
  • Hutchins, Lucie N., Sean M. Murphy, Priyam Singh, and Joel H. Graber. 2008. “Position-Dependent Motif Characterization Using Non-Negative Matrix Factorization.” Bioinformatics (oxford, England) 24 (23): 2684–2690. doi:10.1093/bioinformatics/btn526.
  • Järv, Olle, Henrikki Tenkanen, and Tuuli Toivonen. 2017. “Enhancing Spatial Accuracy of Mobile Phone Data Using Multi-Temporal Dasymetric Interpolation.” International Journal of Geographical Information Science 31 (8): 1630–1651. doi:10.1080/13658816.2017.1287369.
  • Jin, Fengmei, Wen Hua, Matteo Francia, Pingfu Chao, Maria Orowska, and Xiaofang Zhou. 2022. “A Survey and Experimental Study on Privacy-Preserving Trajectory Data Publishing.” IEEE Transactions on Knowledge and Data Engineering, doi:10.1109/TKDE.2022.3174204.
  • Kang, Chaogui, Li Shi, Fahui Wang, and Yu Liu. 2020. “How Urban Places are Visited by Social Groups? Evidence from Matrix Factorization on Mobile Phone Data.” Transactions in GIS 24 (6): 1504–1525. doi:10.1111/tgis.12654.
  • Liu, Shaojun, Yi Long, Ling Zhang, and Hao Liu. 2021. “Semantic Enhancement of Human Urban Activity Chain Construction Using Mobile Phone Signaling Data.” ISPRS International Journal of Geo-Information 10 (8): 545. doi:10.3390/ijgi10080545.
  • Liu, Huimin, Yiyuan Xu, Jianbo Tang, Min Deng, Jincai Huang, Wentao Yang, and Fang Wu. 2020. “Recognizing Urban Functional Zones by a Hierarchical Fusion Method Considering Landscape Features and Human Activities.” Transactions in GIS 24 (5): 1359–1381. doi:10.1111/tgis.12642.
  • Martin, Gabriel, and Antonio Plaza. 2012. “Spatial-Spectral Preprocessing Prior to Endmember Identification and Unmixing of Remotely Sensed Hyperspectral Data.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 5 (2): 380–395. doi:10.1109/JSTARS.2012.2192472.
  • Mistry, D., Litvinova, M., Pastore y Piontti, A., Chinazzi, M., Fumanelli, L., Gomes, M.F., Haque, S.A., Liu, Q.H., Mu, K., Xiong, X. and Halloran, M.E. 2021. “Inferring High-Resolution Human Mixing Patterns for Disease Modeling.” Nature Communications 12 (1):323. doi:10.1038/s41467-020-20544-y.
  • Park, Jaehee, Hao Zhang, Su Yeon Han, Atsushi Nara, and Ming-Hsiang Tsou. 2020. “Estimating Hourly Population Distribution Patterns at High Spatiotemporal Resolution in Urban Areas Using Geo-Tagged Tweets and Dasymetric Mapping.” Paper presented at the 11th International Conference on Geographic Information Science (GIScience 2021)-part I.
  • Qian, Chen, Weifeng Li, Zhengyu Duan, Dongyuan Yang, and Bin Ran. 2021. “Using Mobile Phone Data to Determine Spatial Correlations Between Tourism Facilities.” Journal of Transport Geography 92 (92): 103018. doi:10.1016/j.jtrangeo.2021.103018.
  • Rajabi, Roozbeh, and Hassan Ghassemian. 2013. “Hyperspectral Data Unmixing Using GNMF Method and Sparseness Constraint.” Paper presented at the IEEE International Geoscience and Remote Sensing symposium - IGARSS, 21-26 July 2013.
  • Rajabi, Roozbeh, and Hassan Ghassemian. 2015. “Spectral Unmixing of Hyperspectral Imagery Using Multilayer NMF.” IEEE Geoscience and Remote Sensing Letters 12 (1): 38–42. doi:10.1109/LGRS.2014.2325874.
  • Shang, Shuoshuo, Shihong Du, Shouji Du, and Shoujie Zhu. 2021. “Estimating Building-Scale Population Using Multi-Source Spatial Data.” Cities 111, doi:10.1016/j.cities.2020.103002.
  • Silva, Batista e, Sérgio Freire Filipe, Marcello Schiavina, Konštantín Rosina, Mario Alberto Marín-Herrera, Lukasz Ziemba, Massimo Craglia, Eric Koomen, and Carlo Lavalle. 2020. “Uncovering Temporal Changes in Europe’s Population Density Patterns Using a Data Fusion Approach.” Nature Communications 11 (1): 1–11. doi:10.1038/s41467-020-18344-5.
  • Song, Y., B. Chen, H. C. Ho, M. P. Kwan, D. Liu, F. Wang, J. Wang, et al. 2021. “Observed Inequality in Urban Greenspace Exposure in China.” Environment International 156: 106778. doi:10.1016/j.envint.2021.106778.
  • Song, Yimeng, Bo Huang, Jixuan Cai, and Bin Chen. 2018. “Dynamic Assessments of Population Exposure to Urban Greenspace Using Multi-Source Big Data.” Science of the Total Environment 634: 1315–1325. doi:10.1016/j.scitotenv.2018.04.061.
  • Song, Yimeng, Bo Huang, Qingqing He, Bin Chen, Jing Wei, and Rashed Mahmood. 2019. “Dynamic Assessment of PM2.5 Exposure and Health Risk Using Remote Sensing and Geo-Spatial Big Data.” Environmental Pollution 253: 288–296. doi:10.1016/j.envpol.2019.06.057.
  • Stevens, Forrest R., Andrea E. Gaughan, Catherine Linard, and Andrew J. Tatem. 2015. “Disaggregating Census Data for Population Mapping Using Random Forests with Remotely-Sensed and Ancillary Data.” PLoS ONE 10 (2): e0107042. doi:10.1371/journal.pone.0107042.
  • Talat, Romana, Mohammad S. Obaidat, Muhammad Muzammal, Ali Hassan Sodhro, Zongwei Luo, and Sandeep Pirbhulal. 2020. “A Decentralised Approach to Privacy Preserving Trajectory Mining.” Future Generation Computer Systems 102: 382–392. doi:10.1016/j.future.2019.07.068.
  • Tatem, Andrew J., Susana Adamo, Nita Bharti, Clara R. Burgert, Marcia Castro, Audrey Dorelien, Gunter Fink, et al. 2012. “Mapping Populations at Risk: Improving Spatial Demographic Data for Infectious Disease Modeling and Metric Derivation.” Population Health Metrics 10 (1): 8. doi:10.1186/1478-7954-10-8.
  • Theodoridis, Sergios, and Konstantinos Koutroumbas. 2009. Pattern Recognition (Fourth Edition). Boston: Academic Press.
  • Tu, Wei, Jinzhou Cao, Yang Yue, Shih-Lung Shaw, Meng Zhou, Zhensheng Wang, Xiaomeng Chang, Yang Xu, and Qingquan Li. 2017. “Coupling Mobile Phone and Social Media Data: A New Approach to Understanding Urban Functions and Diurnal Patterns.” International Journal of Geographical Information Science 31 (12): 2331–2358. doi:10.1080/13658816.2017.1356464.
  • Wu, Lun, Ximeng Cheng, Chaogui Kang, Di Zhu, Zhou Huang, and Yu Liu. 2020. “A Framework for Mixed-Use Decomposition Based on Temporal Activity Signatures Extracted from Big Geo-Data.” International Journal of Digital Earth 13 (6): 708–726. doi:10.1080/17538947.2018.1556353.
  • Wu, Yimin, Liang Wang, Linghui Fan, Ming Yang, Yu Zhang, and Yongheng Feng. 2020. “Comparison of the Spatiotemporal Mobility Patterns Among Typical Subgroups of the Actual Population with Mobile Phone Data: A Case Study of Beijing.” Cities 100 (1): 102670. doi:10.1016/j.cities.2020.102670.
  • Xing, Xiaoyue, Zhou Huang, Di Zhu Ximeng Cheng, Chaogui Kang, Fan Zhang, and Yu Liu. 2020. “Mapping Human Activity Volumes Through Remote Sensing Imagery.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 13: 5652–5668. doi:10.1109/JSTARS.2020.3023730.
  • Xu, Yang, Shih-Lung Shaw, Feng Lu, Jie Chen, and Qingquan Li. 2018. “Uncovering the Relationships Between Phone Communication Activities and Spatiotemporal Distribution of Mobile Phone Users.” In Human Dynamics Research in Smart and Connected Communities, edited by Shih-Lung Shaw, and Daniel Sui, 41–65. Cham: Springer International Publishing.
  • Yang, Bo, Xiao Fu, Nicholas D. Sidiropoulos, and Kejun Huang. 2020. “Learning Nonlinear Mixtures: Identifiability and Algorithm.” IEEE Transactions on Signal Processing 68: 2857–2869. doi:10.1109/TSP.2020.2989551.
  • Yang, Jing, Disheng Yi, Bowen Qiao, and Jing Zhang. 2019. “Spatio-Temporal Change Characteristics of Spatial-Interaction Networks: Case Study Within the Sixth Ring Road of Beijing, China.” ISPRS International Journal of Geo-Information 8 (6): 273. doi:10.3390/ijgi8060273.
  • Yao, Yao, Xiaoping Liu, Xia Li, Jinbao Zhang, Zhaotang Liang, Ke Mai, and Yatao Zhang. 2017. “Mapping Fine-Scale Population Distributions at the Building Level by Integrating Multisource Geospatial Big Data.” International Journal of Geographical Information Science 31 (6): 1–44. doi:10.1080/13658816.2017.1290252.
  • Yin, Ling, Nan Lin, and Zhiyuan Zhao. 2021. “Mining Daily Activity Chains from Large-Scale Mobile Phone Location Data.” Cities 109: 103013. doi:10.1016/j.cities.2020.103013.
  • Zhang, Chenyang, Qingli Shi, Li Zhuo, Fang Wang, and Haiyan Tao. 2021. “Inferring Mixed Use of Buildings with Multisource Data Based on Tensor Decomposition.” ISPRS International Journal of Geo-Information 10 (3): 185. doi:10.3390/ijgi10030185.
  • Zhang, Xiaodong, Jia Yu, Yun Chen, Jiahong Wen, Jiayan Chen, and Yin Zhan’e. 2020. “Supply–Demand Analysis of Urban Emergency Shelters Based on Spatiotemporal Population Estimation.” International Journal of Disaster Risk Science 11 (4): 519–537. doi:10.1007/s13753-020-00284-9.
  • Zhang, Ping, Jiangping Zhou, and Tianran Zhang. 2017. “Quantifying and Visualizing Jobs-Housing Balance with Big Data: A Case Study of Shanghai.” Cities 66: 10–22. doi:10.1016/j.cities.2017.03.004.
  • Zhao, Xia, Yuyu Zhou, Wei Chen, Xi Li, Xuecao Li, and Deren Li. 2021. “Mapping Hourly Population Dynamics Using Remotely Sensed and Geospatial Data: A Case Study in Beijing, China.” GIScience & Remote Sensing 58 (5): 717–732. doi:10.1080/15481603.2021.1935128.
  • Zhu, Di, Zhou Huang, Li Shi, Lun Wu, and Yu Liu. 2018. “Inferring Spatial Interaction Patterns from Sequential Snapshots of Spatial Distributions.” International Journal of Geographical Information Science 32 (4): 783–805. doi:10.1080/13658816.2017.1413192.
  • Zhuo, Li, Qingli Shi, Haiyan Tao, Jing Zheng, and Qiuping Li. 2018. “An Improved Temporal Mixture Analysis Unmixing Method for Estimating Impervious Surface Area Based on MODIS and DMSP-OLS Data.” ISPRS Journal of Photogrammetry and Remote Sensing 142: 64–77. doi:10.1016/j.isprsjprs.2018.05.016.
  • Zhuo, Li, Qingli Shi, Chenyang Zhang, Qiuping Li, and Haiyan Tao. 2019. “Identifying Building Functions from the Spatiotemporal Population Density and the Interactions of People Among Buildings.” ISPRS International Journal of Geo-Information 8: 247. doi:10.3390/ijgi8060247.