## Appendix A
\begin{tabular}{c c} \hline \hline
**Number** & **Title** \\ \hline
53 & Quantitative identification of urban functional areas based on spatial grid \\ \hline
54 & A poi data-based study on urban functional areas of the resources-based city:a case study of benxi, liaoning \\ \hline
55 & Identification of Urban Functional Areas Based on GPS Trajectory and POI Data with Association Rules \\ \hline
56 & Identification of the urban functional regions considering the potential context of interest points \\ \hline
57 & Identification of Urban Functional Regions Based on POI Data and Place2 vec Model \\ \hline
58 & Research on Urban Functional Area Recognition Integrating OSM Road Network and POI Data \\ \hline
59 & The identification of urban functional areas as a service for territorial space planning \\ \hline
60 & A comparative study of urban functional structure based on POI data: A case study of Beijing and Shanghai \\ \hline
61 & Identify of Urban Functional Areas and Function Composite Calculation of the Central City Based on POI Data: A Case of Dongguan \\ \hline
62 & Urban Planning Based on Multi-source Spatiotemporal Big Data: A Case Study of Xiacheng District of Hangzhou City \\ \hline
63 & Geoscene-Based Modeling and Analysis of Urban Functional Zoning \\ \hline
64 & Identifying Urban Functional Regions Based on POI Data and Spatial Analysis of Main Transit Hubs \\ \hline
65 & Urban Functional Zone Recognition and Green Space Evaluation of Shanghai Based on POI Data \\ \hline
66 & Discovering urban functional regions based on sematic mining from spatiotemporal data \\ \hline
67 & Semantic information mining and remote sensing classification of urban functional areas \\ \hline
68 & Dynamic Identification of Urban Functional Areas and Visual Analysis of Time-varying Patterns Based on Trajectory Data and POIs \\ \hline
69 & Mobile Phone Data Based Urban Functional Area Classification Algorithm \\ \hline
70 & Identifying City Functional Areas Using Taxi Trajectory Data \\ \hline
71 & A study on quantitative identification of urban functional areas in yichun based on point of interest data \\ \hline
72 & Identification of Urban Functional Areas Based on Logistic Regression Model \\ \hline
73 & Identification and Spatial Interaction of Urban Functional Regions in Beijing Based on the Characteristics of Residents' Traveling \\ \hline
74 & Application of spatial and temporal entropy based on multi-source data for measuring the mix degree of urban functions \\ \hline
75 & Research on identification method of urban land functional area based on Mobile signaling data \\ \hline
76 & Research on identifying urban regions of different functions based on POI data \\ \hline
77 & A study of urban functional area identification methods based on big data of social sensing \\ \hline
78 & Research on quantitative identification method of urban functional area based on big data \\ \hline
79 & Functional Classification of Urban Buildings in High Resolution Remote Sensing Images through POI-assisted Analysis \\ \hline
80 & Analysis of Function Identification of Urban Blocks Based on SCD and POI Data—A Case Study of Chaoyang District \\ \hline
81 & Semi-Supervised Urban Land Using Classification Method Based on Uncertainty Sampling \\ \hline
82 & Urban functional area identification based on call detail record data \\ \hline
83 & Identifying urban functional zones using bus smart card data and points of interest in Beijing \\ \hline
84 & Quantitative Identification and Visualization of Urban Functional Area Based on POI Data \\ \hline
85 & Discovering urban functional regions using latent semantic information:Spatiotemporal data mining of floating \\ \hline
86 & Identifying Functional Urban Regions with POI Data \\ \hline
87 & Urban Functional Area Recognition Based on Crowd Travel Behavior Trajectory \\ \hline \hline \end{tabular}